From f69fcbd4ea6a5bc74dc2e07a16c0d67a511fe446 Mon Sep 17 00:00:00 2001 From: Atanas Atanasov Date: Wed, 8 Feb 2023 16:56:16 +0000 Subject: [PATCH] Squashed commit of the following: MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit commit 92a9b9ad9987550290b25b356c840b6bfdfb4ce7 Author: Atanas Atanasov Date: Wed Feb 8 15:43:18 2023 +0000 integrate review feedback about alpha scope commit c3f10d18bf66d36a77f58f0871b1be4649af4d35 Merge: 20786d09 11347318 Author: Atanas Atanasov Date: Tue Feb 7 17:24:21 2023 +0000 Merge branch 'master' into dev/review-fixes commit 20786d09c24f7fa3b2a29c492d6796475b805609 Author: Atanas Atanasov Date: Tue Feb 7 17:17:25 2023 +0000 further review comments commit aa646febeff4e9f358db8d7b1ceb4b2120972b09 Author: Patrick Ohly Date: Mon Nov 21 16:26:20 2022 +0100 dynamic resource allocation: match API with actual implementation in 1.26 This copies back the API description from pkg/apis/core/types.go which got changed as part of the code review. The focus of the API comments shifted from describing how the API is used to what it contains. The additional comments from the KEP get preserved as commentary on the API. The other change is the introduction if resource.k8s.io and making templates a stand-alone object. Co-authored-by: Kevin Klues added kep template add title fix typo Fleshing out KEP Add in goals, non-goals. Currently working on summary and motivations. Update README.md Read.md changes for resource Plugin Manager * Flesh out motivations * Add in proposal summary * Stub in user stories * Stub in test plan * Stub in pre-development test plan. Update Summary to reflect DRA instead of kubelet refactor Updates to goals/non-goals. Begin fleshing out user stories. Update README.md Update README.md Add in goals, upgrade and rollback planning. Update README.md Still much more formatting, adding of pictures to do. Update README.md Add in formatting nits. Update README.md Fix heading Update README.md Update README.md Working through adding the architecture section. More nits on formatting. Update README.md Continue adding content to the architecture part of the proposal, including the API components. Update README.md Finish adding content for architecture. Address comments Signed-off-by: Dyanngg Add files via upload Removing files. Will change to jpgs so readable under dark and light mode with github. Add diagrams for document CCI Allocation Sequence Diagram CCI Removal Sequence Diagram Externally Managed Resource Extension Add architecture diagram in jpg Add architecture diagram in jpg. Update README.md Add in pictures from directory. Update README.md Remove now unneeded explanation section. Section is on diagram. Add files via upload remove unneeded diagrams, one which will be replaced. Add files via upload fixed structure of tests and graduation sections answer questioneer Update motivations in resource plugin manager. Minor edits. Remove one item that will not be covered with this KEP. Update README.md Update user stories in resource plugin manager Flesh out user stories in resource plugin manager. Minor edit to table of contents. fix typo and tag add clarifications on review questions added troubleshooting flows add BETA and GA Arch Considerations added small fixes Add paragraph about Kubelet restarts commit 113473181a14058ec8d0a7e1b9ef3aa51060942c Merge: 1cbedc71 c33a63bb Author: Catblade Date: Tue Feb 7 08:12:01 2023 -0600 Merge branch 'kubernetes:master' into master commit c33a63bb56d683863fabb686fb705629962b6a97 Author: Alex Zielenski Date: Tue Feb 7 01:40:59 2023 -0800 KEP-3515: kubectl explain openapiv3 - beta graduation criteria (#3748) * openapiv3 for kubectl explain to beta * fill in beta prr sections whoops did not realize about these * add link to tests * solty feedback * update template commit 1e5492925764f83b90880f48adf2f51b5c566c5e Merge: 92460e5e 1baabf6b Author: Kubernetes Prow Robot Date: Tue Feb 7 01:24:59 2023 -0800 Merge pull request #3801 from pacoxu/v1.27-kubeadm-etcd-learner-mode [v1.27] update etcd-learner-mode KEP status commit 1baabf6b49b75ad28de39e54710eaa71e8780687 Author: Paco Xu Date: Tue Jan 31 13:32:26 2023 +0800 update etcd-learner-mode KEP status commit 92460e5ef297ecdfcaa668c139d00c345e807c75 Merge: 7096edc1 52642f49 Author: Kubernetes Prow Robot Date: Mon Feb 6 22:16:57 2023 -0800 Merge pull request #3841 from denkensk/answer-new-question KEP-3243: Answer New Question in PRR commit 1cbedc71d52750be79f62141f4604b41eb64567c Merge: 29039b4e 7096edc1 Author: Catblade Date: Mon Feb 6 18:55:55 2023 -0600 Merge branch 'kubernetes:master' into master commit 29039b4e6fbf7642e24aeba550238e913c8f9ec7 Merge: 24edc315 f1a45fe8 Author: Catblade Date: Mon Feb 6 18:55:26 2023 -0600 Merge pull request #5 from catblade/PolishingKEP Polishing kep commit f1a45fe8d8d557bd57bcf2cc606444da3fac6fe1 Author: Catblade Date: Mon Feb 6 18:50:48 2023 -0600 Update README.md Minor nits, grammar. commit fa7e0ab978013957d6704a2c494b91c57c24a68f Author: Catblade Date: Mon Feb 6 18:41:55 2023 -0600 Update README.md Wording cleanup. No substansive changes. commit 1f481f5dbb4aeb33c3b2274706f72e58977e78f6 Author: Catblade Date: Mon Feb 6 18:26:47 2023 -0600 Update README.md Wording updates. Slight generalization of DRA definition heading up to the scheduler. commit 7096edc1676d6d35c2a98d5e92151b4488629823 Merge: e14f42e6 ed093772 Author: Kubernetes Prow Robot Date: Mon Feb 6 14:16:58 2023 -0800 Merge pull request #3846 from MikeSpreitzer/apf-ga-128 KEP-1040: Push GA to release 1.28 commit b22d36897bae189f7399ea03527cd4afb5aeff79 Author: Catblade Date: Mon Feb 6 15:55:44 2023 -0600 Update README.md Update wording for clarity and succinctness in the summary. commit ed093772b92b89ded7504fc0712afc71fa7c4a0b Author: Mike Spreitzer Date: Mon Feb 6 16:30:19 2023 -0500 Push back APF GA to release 1.28 To give time for feedback on borrowing introduced in 1.26. Signed-off-by: Mike Spreitzer commit e14f42e6738a4f9b8c06c168f05d18cecbac4120 Merge: d4652e6f ea90a676 Author: Kubernetes Prow Robot Date: Mon Feb 6 11:56:58 2023 -0800 Merge pull request #3781 from cici37/crdUpdate KEP-2876: Define GA graduation criteria commit d4652e6f6232e28b8c758cb152e30b69738e6c1e Merge: eccdac4b 22e21574 Author: Kubernetes Prow Robot Date: Mon Feb 6 11:52:58 2023 -0800 Merge pull request #3749 from liggitt/3744 KEP-3744: Stay on supported go versions: initial draft commit eccdac4b6d8718e118604b8833e876f2535ce887 Merge: 442524f7 09743ddb Author: Kubernetes Prow Robot Date: Mon Feb 6 10:58:48 2023 -0800 Merge pull request #3842 from logicalhan/stabilityv2 add PRR question and update KEP status commit 09743ddbb7d672d258d6286cb900064a6718a57f Author: Han Kang Date: Mon Feb 6 10:00:35 2023 -0800 fix header commit 3eaf9078c24788d52e04f1d4687b0cbe9456b52d Author: Han Kang Date: Mon Feb 6 09:59:47 2023 -0800 update toc commit 8c92cd36c13316787055dfe975d55898f5c8bfb6 Author: Han Kang Date: Mon Feb 6 09:58:38 2023 -0800 add PRR question and update KEP status commit 442524f731c45fbaae619257b8b2d9bbbe559d9e Merge: 790dafa5 b294b33e Author: Kubernetes Prow Robot Date: Mon Feb 6 09:53:01 2023 -0800 Merge pull request #3829 from gnufied/update-pvc-recovery-api Update recovery kep with new APIs commit ea90a6763cdb4431db4c6d357da998807d342444 Author: Cici Huang Date: Mon Feb 6 16:57:27 2023 +0000 Address comments commit 790dafa599cd23a2ae0e1dd4ad653232c2552729 Merge: 02d4df49 1b5e22ed Author: Kubernetes Prow Robot Date: Mon Feb 6 08:03:01 2023 -0800 Merge pull request #3825 from andrewsykim/kep-1669 kep-1669: add GA graduation criterias for v1.27 commit b294b33ea557f391fd9353401843a0ec0475482f Author: Hemant Kumar Date: Mon Feb 6 10:09:59 2023 -0500 Replace all occurence of older ResizeStatus commit 02d4df490b0e0f79758611cbb8e85a8bb7a4c63f Merge: 7ce7ca20 8d07dead Author: Kubernetes Prow Robot Date: Mon Feb 6 07:15:01 2023 -0800 Merge pull request #3768 from pwschuurman/kep-3335-beta KEP-3335: Update beta milestone to 1.27 commit 52642f494e498e748bcfbf82fdecfd01891aa3fe Author: Alex Wang Date: Mon Feb 6 22:22:05 2023 +0800 KEP-3243: Answer New Question in PRR commit 7ce7ca2018b4731be5eac04644e97b71f4a4c6bf Merge: 43fd4c03 421ca291 Author: Kubernetes Prow Robot Date: Mon Feb 6 05:49:00 2023 -0800 Merge pull request #3556 from RaunakShah/3141-kep-2 KEP-3141: Graduate "Prevent unauthorised volume mode conversion" to Beta commit 43fd4c030c11f96a2753a6f3f78f4760284cb1d6 Merge: 70b3f2ad 0f16136b Author: Kubernetes Prow Robot Date: Sun Feb 5 23:27:00 2023 -0800 Merge pull request #3713 from ruiwen-zhao/limit KEP-3673: Kubelet limit of Parallel Image Pulls commit 8d07dead7131ac7c0968329e3d758ea3b27e4593 Author: Peter Schuurman Date: Sun Feb 5 22:18:41 2023 -0800 Update StatefulSetStartOrdinal KEP table of contents commit f76c230ec7b966df426f509e02ec412cfbdcbd27 Author: Peter Schuurman Date: Sun Feb 5 21:31:44 2023 -0800 Update StatefulSetStartOrdinal KEP to include more details on Beta FAQ commit 3a1a7d6d9ae38da19abed0ae019a15210f12b4ac Author: Peter Schuurman Date: Mon Jan 30 22:19:33 2023 -0800 Add detail to KEP-3335 beta graduation update commit cd7a1969f5cc3f665f74da09a36e10cd1aad3e3c Author: Peter Schuurman Date: Sun Jan 22 18:13:08 2023 -0800 KEP 3335: Update beta milestone to 1.27 commit 421ca29178dfe292d4758b8493e0510d370e4eea Author: Raunak Pradip Shah Date: Mon Feb 6 10:43:06 2023 +0530 Rebase with latest template and add e2e test links commit 9eb8e637b18ea74f616218e3a71b4030f6f7f0c6 Author: Raunak Pradip Shah Date: Thu Feb 2 10:41:04 2023 +0530 Revert "Update PRR reviewer" This reverts commit 81ab36f90273a43cff9244a68494c7082f358965. commit d43667ffd410a9a882885ca018b9ff64ce082d94 Author: Raunak Pradip Shah Date: Thu Feb 2 10:14:22 2023 +0530 Update PRR reviewer commit 0d060d15212db878ed9bc52b8182f17346f58718 Author: Raunak Pradip Shah Date: Thu Jan 19 14:16:52 2023 +0530 Update to reflect beta in 1.27 commit 8c81a96bbb7e26ac8e4f5e18eef45da072c14b30 Author: Raunak Pradip Shah Date: Thu Oct 6 00:30:19 2022 +0530 Fix type commit 2ec4569ee6ff445670dc1d6f907838db73709ba0 Author: Raunak Pradip Shah Date: Thu Oct 6 00:22:41 2022 +0530 Affect of outage to external-provisioner on error reporting commit dad2e7749d0b900edc6e197d7981ffe8614f0e80 Author: Raunak Pradip Shah Date: Thu Oct 6 00:15:11 2022 +0530 Add SLI/SLO based on metrics commit 1ad1e7fd235bde55cee333607802e9bb67b09d83 Author: Raunak Pradip Shah Date: Wed Oct 5 17:36:10 2022 +0530 Addess comments in PRR commit 4eec5e0ac4cede486b19bbc4aac7f500a1e3906d Author: Raunak Pradip Shah Date: Mon Oct 3 12:12:38 2022 +0530 update toc commit a24023d029a67ed8d11557db399d86fc501e1e83 Author: Raunak Pradip Shah Date: Sat Oct 1 07:48:28 2022 +0530 Add PRR reviewer commit da23d647dc71d2485098fb6fd0686316b56bb436 Author: Raunak Pradip Shah Date: Fri Sep 30 10:42:56 2022 +0530 Update annotation commit 9b0f71b91ca50925379528d363c460d671c33148 Author: Raunak Pradip Shah Date: Wed Sep 28 15:07:41 2022 +0530 Add metrics to KEP commit 24aa0e9f7fbe2df44d07a99c9b47cad0a5cb353d Author: Raunak Pradip Shah Date: Tue Sep 27 12:20:23 2022 +0530 Move Unauthorised volume mode conversion to beta commit 70b3f2ad0c85e5b34fe72a0aca3ce0b40e30e182 Merge: a85eaf26 01f3f4fc Author: Kubernetes Prow Robot Date: Sat Feb 4 12:36:29 2023 -0800 Merge pull request #3820 from MikeSpreitzer/update-apf-kep KEP-1040: Update README.md and kep.yaml commit 22e21574e9ea60f40afebacd5832a77f9a5fbe13 Author: Jordan Liggitt Date: Sat Feb 4 13:06:37 2023 -0500 Update with new PRR question about node resource exhaustion commit a85eaf260c826bcdcc8d2e791833d2cbe2225ddf Merge: 335eaa96 9b8216c7 Author: Kubernetes Prow Robot Date: Sat Feb 4 00:38:28 2023 -0800 Merge pull request #3826 from ahmedtd/trust-anchor-sets kep-3257: Update target milestone, record reviewers / approvers commit 9b8216c7beeb563e2dbc88b946665b161ad4b4bf Author: Taahir Ahmed Date: Thu Feb 2 11:03:44 2023 -0800 kep-3257: Update target milestone, record reviewers / approvers Additionally, clarify Kubelet's watch behavior. commit 2e6ca227a08e8c1e1253263d0c5213c4a3e26081 Author: Hemant Kumar Date: Fri Feb 3 14:24:14 2023 -0500 Rename expansion related conditions to resizing related commit 0f16136bac9035e1ad9cd30d4e1d273aa062101e Author: ruiwen-zhao Date: Fri Jan 6 00:37:09 2023 +0000 KEP-3673: Kubelet limit of Parallel Image Pulls Signed-off-by: ruiwen-zhao commit 01f3f4fc97bcfbc70a16b45d20a3d522c8bcbae0 Author: Mike Spreitzer Date: Wed Feb 1 21:16:32 2023 -0500 Update API Priority and Fairness KEP README and kep.yaml Update to the latest templates, and catch up with recent developments. commit 335eaa96f5e8ab9a0b59d49d9b9db637c7e93020 Merge: 54736130 9176a2f8 Author: Kubernetes Prow Robot Date: Fri Feb 3 06:30:28 2023 -0800 Merge pull request #3449 from soltysh/cronjob_tz_beta KEP 3140: Promote CronJob's TimeZone support to GA commit 54736130caa843baeac3a546057d264c62df9921 Merge: f2ac64ad 1b024fb2 Author: Kubernetes Prow Robot Date: Fri Feb 3 05:46:28 2023 -0800 Merge pull request #3724 from ahg-g/job-completions KEP-3715: Elastic Indexed Jobs commit f2ac64ad68957470d6d28dedcdef5af17f7bbb8e Merge: ac5dae5c fe27e289 Author: Kubernetes Prow Robot Date: Fri Feb 3 02:04:30 2023 -0800 Merge pull request #3740 from denkensk/match-label-beta KEP-3243: Graduate MatchLabelKeys In PodTopologySpread to beta commit ac5dae5c3ee4453fd2b4b002e69fa3e08898f2d5 Merge: 6ba9584d 462309e4 Author: Kubernetes Prow Robot Date: Fri Feb 3 01:20:29 2023 -0800 Merge pull request #3739 from Huang-Wei/pod-readiness-gate-beta KEP-3521: Graduate PodSchedulingReadiness to beta commit 6ba9584dcd194990bf3237a474ad5d7ba35714d9 Merge: dd706893 318a83a5 Author: Kubernetes Prow Robot Date: Thu Feb 2 22:44:29 2023 -0800 Merge pull request #3822 from p0lyn0mial/kep-watch-list-127 Update KEP 3157 for milestone 1.27 commit dd706893b89629df5a07511fad83b037bffc9288 Merge: 541c292d 50d6306d Author: Kubernetes Prow Robot Date: Thu Feb 2 16:50:28 2023 -0800 Merge pull request #3460 from alexanderConstantinescu/kep-1111 KEP-3458: Remove transient node predicates from KCCM's service controller commit 50d6306d442aa7c670edaaf47e69e0517f5e02dd Author: Alexander Constantinescu Date: Sun Aug 7 18:05:02 2022 +0200 KEP 3458: Remove transient node predicates from KCCM's service controller commit 541c292d6b1a2000aee4e62f5a91a3a4c79ae746 Merge: 74cc8854 3380b633 Author: Kubernetes Prow Robot Date: Thu Feb 2 16:12:29 2023 -0800 Merge pull request #3809 from xuzhenglun/master KEP-3668: update to implementable commit 74cc8854921fa5b18bb13d42305520c406680ed4 Merge: 27592d7a c9c9ad57 Author: Kubernetes Prow Robot Date: Thu Feb 2 15:22:42 2023 -0800 Merge pull request #3773 from Jefftree/oasv3-ga KEP-2896: OpenAPI V3 to GA commit b951b9130af9d8ca2bf78eafdeb32a41220ceaac Author: Hemant Kumar Date: Thu Feb 2 16:54:49 2023 -0500 Update recovery kep with new APIs commit 27592d7afc54f57491cc554b664577e3170d8710 Merge: cc74f308 af187a06 Author: Kubernetes Prow Robot Date: Thu Feb 2 13:52:43 2023 -0800 Merge pull request #3537 from chrishenzie/kep-2485 KEP-2485: ReadWriteOncePod beta production readiness commit cc74f308927a7275c5fa05f6684617f0a6aabec2 Merge: 21af5c71 dbd173db Author: Kubernetes Prow Robot Date: Thu Feb 2 12:54:42 2023 -0800 Merge pull request #3736 from DangerOnTheRanger/policy-string-format-update KEP-3488: Adjust for inclusion of string.format in CEL commit dbd173db8bf0b7f4045d69b685e300667911606a Author: Kermit Alexander II Date: Thu Feb 2 20:50:10 2023 +0000 Adjust messageExpression examples from {} to printf style. commit 3448066f3c5aae14aa92684a2a6f16b83f4eb18d Author: Kermit Alexander II Date: Thu Feb 2 20:47:35 2023 +0000 Use field names instead of field values for some examples. commit af187a060335cba6e7d7b497c54708f01b7c8f61 Author: Chris Henzie Date: Thu Sep 15 15:37:12 2022 -0700 KEP-2485: ReadWriteOncePod beta production readiness commit 462309e4521967e8624f2d373bc3f1123f642d49 Author: Wei Huang Date: Thu Feb 2 11:17:11 2023 -0800 fixup: reword the section about feature's disabling vs. scheduler extension point commit 6805e7a8664fe8f4cb9fced351a8658972e681d8 Author: Wei Huang Date: Wed Feb 1 11:32:50 2023 -0800 fixup: address comments commit 59cdab641e1b92e13aa4f2c7d7082402d7bcb10a Author: Wei Huang Date: Tue Jan 31 14:12:48 2023 -0800 fixup: address comments commit bfe7fbc266cb913ea6052bdfc567451173c8849d Author: Wei Huang Date: Wed Jan 25 13:14:00 2023 -0800 fixup: rewordings commit 05eed6d12a8628a236c8c887d3785f33d9fb1dcd Author: Wei Huang Date: Wed Jan 18 15:26:21 2023 -0800 add metric `scheduler_plugin_execution_duration_seconds{plugin="SchedulingGates"}` commit eae4e6cc7f703caa9df4af66704d5d5fbe38c884 Author: Wei Huang Date: Sat Jan 14 16:49:18 2023 -0800 Graduate PodSchedulingReadiness to beta commit e3da4952c9d8330b6d09e4ffea0e93d5e784de01 Author: Jordan Liggitt Date: Thu Feb 2 13:58:36 2023 -0500 Add PRR reviewer, update completed items, add discussion links commit 5a3418d80b5ef9fc474fce18813bbb9f3aef3e96 Author: Jordan Liggitt Date: Thu Feb 2 13:58:12 2023 -0500 Update test plan commit adbcc5b3773d0e06f77c6460d3f6eeaae6548e42 Author: Jordan Liggitt Date: Thu Feb 2 13:57:50 2023 -0500 Simplify expected mitigation approach for go1.21 commit 21af5c71d816fe8eede1380f56a484ad2bc53348 Merge: 8c493c36 838c47cd Author: Kubernetes Prow Robot Date: Thu Feb 2 10:52:42 2023 -0800 Merge pull request #3808 from SergeyKanzhelev/nodeswap2 Update the release for alpha2 commit 1b024fb23de433e85e88d6768757b3c3c2f9dfec Author: ahg-g Date: Thu Feb 2 18:46:03 2023 +0000 updates commit 616f12ccd412a232dcdec023651d46678b2e5a49 Author: ahg-g Date: Thu Feb 2 16:35:12 2023 +0000 PRR review commit fe27e289c677938d38a60e1a874475ad5dbb2072 Author: Alex Wang Date: Fri Feb 3 00:02:57 2023 +0800 update the PRRQ Signed-off-by: Alex Wang commit 1b5e22ed098477f8ab618b27d7f0196dc6c496b4 Author: Andrew Sy Kim Date: Thu Feb 2 10:14:51 2023 -0500 kep-1669: add GA graduation criterias for v1.27 Signed-off-by: Andrew Sy Kim commit 318a83a5c25274d7c85dfa4416a8a276a8e1cb1d Author: Lukasz Szaszkiewicz Date: Thu Feb 2 13:37:45 2023 +0100 Update KEP 3157 to use the latest template commit 8c493c3641c4fbd0f683e698f586a6d7586f4029 Merge: c1e4da4c c3b43802 Author: Kubernetes Prow Robot Date: Thu Feb 2 06:09:29 2023 -0800 Merge pull request #3823 from nabokihms/3325-update-latest-milestone-beta KEP-3325: Update latest-milestone to v1.27 commit c3b43802eefb4094c6468aa6f19ea31e15c0f63c Author: m.nabokikh Date: Thu Feb 2 15:05:16 2023 +0100 KEP-3325: Update latest-milestone to v1.27 Signed-off-by: m.nabokikh commit c1e4da4ca1f433417c5727ec58a5dfd939c09dd5 Merge: e724ae4d 5eaac45c Author: Kubernetes Prow Robot Date: Thu Feb 2 06:01:30 2023 -0800 Merge pull request #3650 from logicalhan/klog-flags update status of klog flag deprecation commit e724ae4d1ebcff9282a84a23475e3e65a0d206fd Merge: ba86c573 19fcde41 Author: Kubernetes Prow Robot Date: Thu Feb 2 05:57:29 2023 -0800 Merge pull request #3457 from pacoxu/defualt-container-annotation KEP-2227: update implementation history commit 281d88e3aab7ebe576abe18cee138790db2cb88d Author: Lukasz Szaszkiewicz Date: Thu Feb 2 13:12:15 2023 +0100 Add Alpha Graduation Criteria to KEP 3157 commit 94c553b8c41ff82f2d5c199f3290dacb68c6e30d Author: Lukasz Szaszkiewicz Date: Thu Feb 2 12:57:39 2023 +0100 Update milestone to 1.27 for KEP 3157 commit ba86c573eb6eb906e43a53234b1dccef24492e90 Merge: c5bc04a3 bfc861e1 Author: Kubernetes Prow Robot Date: Thu Feb 2 03:53:30 2023 -0800 Merge pull request #3800 from mattcary/127 1847: 1.27 beta update commit c5bc04a327941d7ed82527d7ae2b683110b5d6a0 Merge: 4ffae42c 3b214b89 Author: Kubernetes Prow Robot Date: Thu Feb 2 01:53:30 2023 -0800 Merge pull request #3798 from danwinship/cloud-node-ips-implementable KEP-3705: update CloudNodeIPs to implementable commit d805cc3ff367c76058935e662f4fd202475ff306 Author: Alex Wang Date: Sat Jan 21 01:11:03 2023 +0800 KEP-3243: Graduate MatchLabelKeys In PodTopologySpread to beta Signed-off-by: Alex Wang commit 4ffae42c460e6c7550593d5ac1618dea77985535 Author: Mahamed Date: Wed Feb 1 19:13:21 2023 +0000 KEP-3720: Freeze `k8s.gcr.io` image registry (#3723) * write the kep * fix typos * fix more typos and add prod-readiness * appease the linters * put down the right person for PRR review * fix another typo * put exact dates and communication methods * Apply suggestions from code review Co-authored-by: Arnaud M. * fix a typo --------- Co-authored-by: Arnaud M. commit 3b214b890b05a8c232cf06223d6d8f3133fca22e Author: Dan Winship Date: Mon Jan 30 17:35:56 2023 -0500 KEP-3705: update CloudNodeIPs to implementable commit 3380b633b16513f3ff04b259fedaaec8045bf7f4 Author: xuzhenglun Date: Wed Feb 1 11:25:30 2023 +0800 KEP-3668: update to implementable commit 838c47cd4fad67f86abb2d8287e148ae00f5f07c Author: Sergey Kanzhelev Date: Wed Feb 1 00:13:43 2023 +0000 node swap alpha2 milestone update commit 2d3d1d7eda751c8c29aede0d0b479cb3901bc717 Merge: b8170b33 90f4c9b9 Author: Kubernetes Prow Robot Date: Tue Jan 31 13:22:57 2023 -0800 Merge pull request #3772 from nabokihms/3325-self-subject-review-beta KEP-3325: SelfSubjectReview API Beta graduation commit b8170b33faf3f17ce90883ca44f6e370ca8ab94d Merge: 875b2bf2 ebef272c Author: Kubernetes Prow Robot Date: Tue Jan 31 13:22:49 2023 -0800 Merge pull request #3711 from andrewsykim/kep-2133 KEP-2133: set status to implemented commit 875b2bf2d45c6d4ac2f26ece6d89481489e617aa Merge: eacd2c2c 10fd2c99 Author: Kubernetes Prow Robot Date: Tue Jan 31 13:18:50 2023 -0800 Merge pull request #3710 from rphillips/update/2238_liveness_probes_ga 2238: update liveness probe grace period enhancement for GA commit d4ad240cc63d4bb37db4e8fd7d535bbe70a7ff7b Author: ahg-g Date: Wed Jan 11 00:46:16 2023 +0000 KEP-3715: allow mutating spec.completions for Indexed Jobs. commit eacd2c2c4c9e408a20e7575f4bada2753204df0e Merge: 88917f8c a9e5d8f3 Author: Kubernetes Prow Robot Date: Tue Jan 31 10:48:49 2023 -0800 Merge pull request #3731 from bart0sh/PR006-DRA-Update-CRI KEP3063: Update CRI structures commit c9c9ad57c0db29ef44dfea34e2ee5e13a321006e Author: Jefftree Date: Mon Jan 23 23:09:25 2023 +0000 OpenAPI V3 GA commit 88917f8cc02ca359d66a2530dfc666150f3bc3f2 Merge: 728fd24b 37bdf1a2 Author: Kubernetes Prow Robot Date: Tue Jan 31 08:50:49 2023 -0800 Merge pull request #3752 from logicalhan/stabilityv2 KEP-3498: adding beta graduation criteria for extending metric stability commit 37bdf1a279bb8adde43ab54d9c1a7dd82c6c2765 Author: Han Kang Date: Tue Jan 31 08:46:50 2023 -0800 address wojtek's commets commit 728fd24bf846d84097dd94195310b08af57aa602 Author: Kensei Nakada Date: Tue Jan 31 21:52:49 2023 +0900 KEP-3633: Introduce `MatchLabelKeys` to PodAffinity and PodAntiAffinity (#3651) * Add KEP-3633 Introduce MatchLabelKeys to PodAffinity and PodAntiAffinity * fix wording * address reviews * fix wording * assign PRR reviewer * fix based on reviews from prr * fix wording commit 24edc3159d57fbda71136c2ec147e2e6ded6a47c Merge: 1dab419f dfad5c9b Author: obiTrinobiIntel <98085336+obiTrinobiIntel@users.noreply.github.com> Date: Tue Jan 31 12:44:55 2023 +0000 Merge pull request #4 from catblade/Update-KEP-Progress 3675:Update motivations and user stories commit 525634fa08ea50ba16d2ba594b1cdfd8794b70f5 Merge: c65b0269 17d8ed04 Author: Kubernetes Prow Robot Date: Tue Jan 31 03:30:49 2023 -0800 Merge pull request #3769 from mimowo/pod-failure-policy-testgrid Testgrid links to e2e tests for "KEP-3329: Retriable and non-retriable Pod failures for Jobs" commit c65b02697d94867daecabdab8220ba85c391d954 Merge: e1b20755 579df12a Author: Kubernetes Prow Robot Date: Mon Jan 30 16:26:49 2023 -0800 Merge pull request #3794 from wzshiming/pod-host-ips KEP-2681: Target to alpha for 1.27 commit e1b20755423b19c71fdac17ac376158d32fe9484 Author: Lior Lieberman Date: Tue Jan 31 00:20:49 2023 +0000 KEP-3726: standard-application-protocols (#3727) * 3726-standard-application-protocols KEP * fix * fix * add proposed api change + criterias to add new protocols to the list * update toc * fix typo * remove undesired change * more changes * address feedback * update toc * add unresolved section and mark checklist steps * fix * undo fix commit bfc861e175eeeb5e12a2d1b1e648c57067439fd0 Author: Matthew Cary Date: Mon Jan 30 15:47:20 2023 -0800 Update kep-1847 for 1.27 beta commit 0e2da7a3f156021430e1daec1eee7a67a06f41aa Merge: 2108074b fa9fab6e Author: Kubernetes Prow Robot Date: Mon Jan 30 15:44:48 2023 -0800 Merge pull request #3799 from ahg-g/ahg-mutable Updated mutable scheduling directives to adhere to the new test template commit fa9fab6e5e9709af2150718dd4c3cc4c42a90cff Author: ahg-g Date: Mon Jan 30 22:50:03 2023 +0000 Updated mutable scheduling directives to adhere to the new test template commit dfad5c9b52e2a5aea250c4b5ba3980d057ad0ce0 Author: Catblade Date: Mon Jan 30 15:48:15 2023 -0600 Update user stories in resource plugin manager Flesh out user stories in resource plugin manager. Minor edit to table of contents. commit 2108074b78562a5b131dd0e7746fcbf6385300ce Merge: fdf6e390 26f17570 Author: Kubernetes Prow Robot Date: Mon Jan 30 11:28:28 2023 -0800 Merge pull request #3792 from verb/ec-implemented KEP-277: Mark as implemented commit fdf6e390af6598dc0f5b31634aa7a8081629217d Merge: f37323ff 9483496b Author: Kubernetes Prow Robot Date: Mon Jan 30 10:38:28 2023 -0800 Merge pull request #3782 from cici37/celUpdate KEP-3488: update on resource constraints commit f37323ffe04265d1c4d5cb3943081683e2b0fce8 Merge: 48599d1c 78200cb9 Author: Kubernetes Prow Robot Date: Mon Jan 30 08:30:51 2023 -0800 Merge pull request #3783 from wojtek-t/node_resource_consumption Extend PRR template with node resource exhaustion question commit 5eaac45c605808784556de883895fdc755d82ed4 Author: Han Kang Date: Mon Jan 30 08:20:48 2023 -0800 update PPR review to wojtek commit d4e76893521d2aec3421313baedb8d4710e30abe Merge: a728ef06 4dc34b0c Author: Catblade Date: Mon Jan 30 09:28:42 2023 -0600 Merge pull request #2 from catblade/catblade-patch-1 Update README.md commit 4dc34b0c3e870a45ff0653b7ef4e16a56eab2a76 Author: Catblade Date: Mon Jan 30 09:28:19 2023 -0600 Update README.md commit a728ef065a6874026878f23c3096546f35c123fe Author: Catblade Date: Mon Jan 30 07:51:45 2023 -0600 Update motivations in resource plugin manager. Minor edits. Remove one item that will not be covered with this KEP. commit a9e5d8f358c077ce1ffcb03053a5643fd6df085c Author: Ed Bartosh Date: Thu Jan 12 16:12:00 2023 +0200 3063: Update CRI structures info commit 579df12ae252c91ddefd21de6afe66c388c889a6 Author: Shiming Zhang Date: Mon Jan 30 15:20:19 2023 +0800 Update milestone commit 1dab419f76aa3ca4ab87f2a46874c22fa725bed2 Author: Atanas Atanasov Date: Sun Jan 29 11:24:11 2023 +0000 answer questioneer commit 70cffa6ec02c6b13e19deed358bdf2b7547d725d Author: Atanas Atanasov Date: Sun Jan 29 10:35:42 2023 +0000 fixed structure of tests and graduation sections commit 2da51449bcb8f93fbcc87a649f9d38f427da07e0 Merge: e3760a09 61b8cd26 Author: obiTrinobiIntel <98085336+obiTrinobiIntel@users.noreply.github.com> Date: Sun Jan 29 10:07:45 2023 +0000 Merge pull request #3 from catblade/Update-KEP-Progress Flesh out and Merge KEP doc information for CCI KEP commit 61b8cd2698e6aa08fd0feb78417f338bd4019a62 Author: Catblade Date: Sat Jan 28 13:38:43 2023 -0600 Add files via upload commit 1f891875dcb71d14046bf1c162ddc3feb409511e Author: catblade Date: Sat Jan 28 13:37:15 2023 -0600 remove unneeded diagrams, one which will be replaced. commit ff587b83d748c654eb1fd0d3943609dba675977b Author: Catblade Date: Sat Jan 28 13:36:06 2023 -0600 Add files via upload commit 4d92f15deb13a6d9ed036265d842e5eccfdebb97 Author: Catblade Date: Sat Jan 28 13:33:32 2023 -0600 Update README.md Remove now unneeded explanation section. Section is on diagram. commit 8d15219cd6f237afbfed113a6c03716e89608b5b Author: Catblade Date: Sat Jan 28 13:32:53 2023 -0600 Update README.md Add in pictures from directory. commit 534f3d5c3f449428b8e3f7d8fb7fb9f14bcd05e8 Author: Catblade Date: Sat Jan 28 13:30:36 2023 -0600 Add architecture diagram in jpg Add architecture diagram in jpg. commit d9aec8079c1b3404e4a1130caec61ddb43efd0dd Author: Catblade Date: Sat Jan 28 13:27:09 2023 -0600 Add diagrams for document CCI Allocation Sequence Diagram CCI Removal Sequence Diagram Externally Managed Resource Extension commit 40f7205c36a3647cc04ee94c95034ead33ff19e8 Author: catblade Date: Sat Jan 28 13:23:01 2023 -0600 Removing files. Will change to jpgs so readable under dark and light mode with github. commit acbb7d05b6e69b240010a2dd3064aa335216f315 Author: Catblade Date: Sat Jan 28 13:16:51 2023 -0600 Add files via upload commit 62cfcce9dff77e3f604316ff3c8e17ac10dc9f49 Merge: 1999a46a 48599d1c Author: catblade Date: Sat Jan 28 13:07:43 2023 -0600 Merge remote-tracking branch 'upstream/master' into Update-KEP-Progress commit 1999a46adebc002aebabb1059b54af6c4920fcd7 Author: Catblade Date: Fri Jan 27 19:44:22 2023 -0600 Update README.md Finish adding content for architecture. commit be7ce045fc7d5a34212d6dab5752d6f3f3b59ed6 Author: Catblade Date: Fri Jan 27 19:37:32 2023 -0600 Update README.md Continue adding content to the architecture part of the proposal, including the API components. commit 4b428513a551e580ecf1bc0639e2dc8cd7f6d7ac Author: Catblade Date: Fri Jan 27 19:28:24 2023 -0600 Update README.md Working through adding the architecture section. More nits on formatting. commit 2b2ff93afffebb8504e9c793025b667dddb128bc Author: Catblade Date: Fri Jan 27 19:17:59 2023 -0600 Update README.md commit 60e5fb343d8e729af26bb89cbf82c0292833f9e4 Author: Catblade Date: Fri Jan 27 19:17:24 2023 -0600 Update README.md Fix heading commit b07fac68636abfae0a814a5ba3668f87ae3dcaf9 Author: Catblade Date: Fri Jan 27 19:16:11 2023 -0600 Update README.md Add in formatting nits. commit 48599d1cc4391c5d176606490ed6f766677855d9 Merge: 67173c56 bd7ffce0 Author: Kubernetes Prow Robot Date: Fri Jan 27 16:54:34 2023 -0800 Merge pull request #3660 from Dyanngg/master KEP-2091: Update API types for AdminNetworkPolicy and BaselineAdminNetworkPolicy commit 67173c56ceacca1f46fe3e516ce01eca30712ce2 Merge: 79b30a2b 952a7671 Author: Kubernetes Prow Robot Date: Fri Jan 27 16:46:34 2023 -0800 Merge pull request #3706 from danwinship/cloud-node-ips KEP-3705: Cloud Dual-Stack --node-ip Handling commit 79b30a2b8d9e7db516a559df8e3a449eb645179a Merge: dfb5b643 ad3b43d6 Author: Kubernetes Prow Robot Date: Fri Jan 27 14:26:40 2023 -0800 Merge pull request #3767 from robscott/referencegrant KEP-3766: Move ReferenceGrant to sig-auth API Group commit ad3b43d6bbb42700c2a9f6177c424b6eb72edabd Author: Rob Scott Date: Fri Jan 27 22:13:44 2023 +0000 Removing PRR until KEP is marked implementable commit 9b6e87713047fe051e0c1fbaeb0462530f9626c9 Author: Catblade Date: Fri Jan 27 15:00:24 2023 -0600 Update README.md Still much more formatting, adding of pictures to do. commit e4de952162a7c1fffd5b6235c0f5335c7237029a Author: Catblade Date: Fri Jan 27 14:47:04 2023 -0600 Update README.md Add in goals, upgrade and rollback planning. commit 2aded5ab672dec653e0dbd915e1252383ca60684 Author: Catblade Date: Fri Jan 27 14:35:16 2023 -0600 Update README.md commit 5c05ccfaf42ca928791b0a110100c0856e12eca8 Merge: 0de89c61 e3760a09 Author: Catblade Date: Fri Jan 27 14:22:59 2023 -0600 Merge pull request #1 from obiTrinobiIntel/master merge changes from master. commit 6e8a2bf7558a00037890109956874eae7d2ec683 Author: Rob Scott Date: Fri Jan 27 19:28:04 2023 +0000 Moving open questions to unresolved blocks and adding links to prev discussion commit 26f1757098a848e5f824e0fa3cba059f9d9a7998 Author: Lee Verberne Date: Fri Jan 27 17:45:27 2023 +0100 KEP-277: Mark as implemented commit dfb5b64322fe861fcc173ca8246a2ec5a511e46e Merge: 92cda6fd c41c17e4 Author: Kubernetes Prow Robot Date: Fri Jan 27 08:00:27 2023 -0800 Merge pull request #3753 from logicalhan/slis KEP-3466: update beta graduation requirements for component SLIs commit 17d8ed04a1bd932b000900e638eb725a8157135a Author: Michal Wozniak Date: Thu Jan 19 15:42:09 2023 +0100 Fix typos commit becd62cca8ab1668848f56b6582fcc2f88d73763 Author: Michal Wozniak Date: Mon Jan 23 12:03:17 2023 +0100 Provide testgrid links to the e2e tests commit bdf0a73bc9bc61de1b44aeb3eda60c55d7307618 Author: Han Kang Date: Fri Jan 27 07:49:34 2023 -0800 amend beta requirements commit c41c17e4d7b76d0b6124b77700e41a02c7941579 Author: Han Kang Date: Thu Jan 26 15:10:49 2023 -0800 update to address wojtek's comments commit 135c8a1819ae9c4194efbf505f945631c6ef808e Author: Han Kang Date: Wed Jan 18 13:15:45 2023 -0800 add prr reviewer commit e3760a09fcdb9067185cc5842fe282a343f944cd Merge: 8340d4e5 c55599b5 Author: obiTrinobiIntel <98085336+obiTrinobiIntel@users.noreply.github.com> Date: Fri Jan 27 11:50:20 2023 +0000 Merge pull request #2 from catblade/patch-1 Patch 1 commit 78200cb9d1a4244fd068e819c4cb430ebd114eaa Author: Wojciech Tyczyński Date: Thu Jan 26 10:03:53 2023 +0100 Extend PRR template with node resource exhaustion question commit 92cda6fd6ace713798ee306201fe7238e733443a Merge: 34b46e89 bff55378 Author: Kubernetes Prow Robot Date: Thu Jan 26 09:40:27 2023 -0800 Merge pull request #3771 from MikeSpreitzer/apf-ga-update KEP-1040: update GA graduation criteria commit 767c0f7fba700e6255ffdd5c842b8c57919ff387 Author: Rob Scott Date: Wed Jan 25 02:10:28 2023 +0000 Moving KEP to sig-auth, fixes from PR feedback, test details commit 9483496b448bf5c5cd989e1ac3e0e123ab82ac0f Author: Cici Huang Date: Wed Jan 25 16:38:50 2023 +0000 Updates on resource constraints. commit 2cc267029cf21759f0ab5b262d07b15801f15022 Author: Cici Huang Date: Wed Jan 25 16:23:51 2023 +0000 Define GA graduation criteria commit aa4a1c670f6eb36e2153f82cf09299aa44b9f980 Author: Cici Huang Date: Wed Jan 25 16:18:13 2023 +0000 temp changes commit adb71ee393e8cbf20b00ac3a2e3f8ac5c723ed23 Author: Nick Young Date: Tue Jan 24 06:39:24 2023 +0000 Update with examples and clarifications after initial review Signed-off-by: Nick Young commit d9b390ef8879665e8412dc5b3f426d5fb1446e28 Author: Nick Young Date: Mon Jan 23 03:31:13 2023 +0000 Update with design notes and extra questions info Signed-off-by: Nick Young commit 462a10f394e5e6c3e1a24b605afd76293621bd36 Author: Rob Scott Date: Sat Jan 21 01:14:22 2023 +0000 KEP-3766: Move ReferenceGrant to sig-auth API Group Co-Authored-By: Nick Young commit 34b46e891ce4615fdd6a05dc612081dbb2825284 Author: Kevin Delgado Date: Tue Jan 24 11:01:53 2023 -0800 KEP-2885 Field Validation 1.27 GA graduation (#3725) * Update field validation KEP for 1.27 GA graduation * Address feedback * update gate removal timeline commit 5c79049c7a15f88056236e298f2bbe002c4c12a3 Author: Jordan Liggitt Date: Tue Jan 24 10:23:27 2023 -0500 Clarify no change is proposed for updating development branch to latest go version immediately commit 90f4c9b9ccd4f5adad8113b1dcdb3cbfb539e832 Author: Maksim Nabokikh Date: Tue Jan 24 19:05:33 2023 +0400 Apply suggestions from code review Co-authored-by: Jordan Liggitt Signed-off-by: m.nabokikh commit c28f8a5376b058b4c64a0a4f511946cf2001e0e4 Merge: c8840442 4099cdef Author: Kubernetes Prow Robot Date: Tue Jan 24 06:42:17 2023 -0800 Merge pull request #3735 from LiorLieberman/patch-1 Update verify-toc.sh commit 22e17dc97b8f2d1c8fa12de462acbd8ebb8be2ea Author: Jordan Liggitt Date: Mon Jan 23 17:39:23 2023 -0500 Update testing details for compatible library use commit d74071499ff8f0ddac9db69191bd8d513e46a60a Author: Jordan Liggitt Date: Mon Jan 23 17:29:12 2023 -0500 Update go compatibility proposal status commit ca46b0265ff84c0c0274b88089394a3556198292 Author: Jordan Liggitt Date: Mon Jan 23 17:28:50 2023 -0500 Clarify prereq merge, prereq backport, go version bump steps commit 26cea5d1a770e4fe61dbc9b3c42fb99793d854ab Author: Jordan Liggitt Date: Tue Jan 17 22:15:06 2023 -0500 Link to examples of go releases commit baa5a858394b363d1db9a6905da428681fa26470 Author: Jordan Liggitt Date: Tue Jan 17 22:11:40 2023 -0500 Future-proof branch name commit 3e7f7618d3238f474355c23b73635e40f62ee296 Author: Jordan Liggitt Date: Tue Jan 17 15:45:47 2023 -0500 KEP-3744: Stay on supported go versions: initial draft commit c88404426676d58cdcf3397897197fd98ef327ef Merge: f633d91b 524a1335 Author: Kubernetes Prow Robot Date: Mon Jan 23 14:22:16 2023 -0800 Merge pull request #3722 from Jefftree/agg-discovery-beta KEP-3352 Aggregated Discovery to Beta commit 524a1335fc566893a25f98d2da2cc440a4531b1a Author: Jefftree Date: Tue Jan 10 19:44:14 2023 +0000 Add beta requirements commit 4c6a711dc8d65241d347fb1649bd22d2aa7615ca Author: m.nabokikh Date: Mon Jan 23 23:11:42 2023 +0100 KEP-3325: SelfSubjectReview API Beta graduation Signed-off-by: m.nabokikh commit bff55378e01022f5f9788f4b02c0c7fe24d56274 Author: Mike Spreitzer Date: Mon Jan 23 16:12:38 2023 -0500 Update GA graduation criteria 1. Convert to check list. 2. Re-order so that completed items come first. 3. Update tuning item to refer to the whole interface (e.g, including logs and metrics) rather than just the API. 4. Update the tuning item to replace "auto-tuning" with simply "tuning". The thinking is that the proper focus is on observability and controllabiility; automation of the tuning was always intended to be a matter for later consideration. commit 39263f5cd970492946b53111985ec53d884ea694 Author: Kermit Alexander II Date: Mon Jan 23 19:53:30 2023 +0000 Add TODO and note on CEL upstream. commit bd2ca8393cefc747cd9918bb0e195cb96aea7539 Author: Kermit Alexander II Date: Mon Jan 23 19:39:30 2023 +0000 Update messageExpression behavior re: cost limits. commit f633d91bcf9d7fbf7e330786f1f591ddccc44f9c Merge: d2d2df65 58ec5f85 Author: Kubernetes Prow Robot Date: Mon Jan 23 11:31:57 2023 -0800 Merge pull request #3709 from ahg-g/mutable-stable KEP-2926: Graduate mutable scheduling directives to stable commit d2d2df65b0f750e58872f9876a6e24ad5863d167 Merge: 09a5eabe dd1f3822 Author: Kubernetes Prow Robot Date: Mon Jan 23 11:27:58 2023 -0800 Merge pull request #3682 from xuzhenglun/master Reserve Nodeport Ranges For Dynamic And Static Port Allocation commit 58ec5f8559c6df65016241056d978f77b24a08ba Author: ahg-g Date: Mon Jan 23 19:26:17 2023 +0000 Graduate mutable scheduling directives to stable commit dd1f3822e47b38f8d2f31f8cbc6233c82c6128a7 Author: xuzhenglun Date: Sat Dec 10 17:59:06 2022 +0800 Reserve Nodeport Ranges For Dynamic And Static Port Allocation Signed-off-by: xuzhenglun commit 19fcde4129fccd0a2601eac15d1d699d9f811661 Author: Paco Xu Date: Fri Aug 5 21:43:16 2022 +0800 update KEP 2227: implementation history commit 09a5eabe43c13ced30b2191508115a0ef90f4e1f Merge: fe684210 96ae1871 Author: Kubernetes Prow Robot Date: Thu Jan 19 16:12:15 2023 -0800 Merge pull request #3667 from wojtek-t/consistent_streaming_support_api Update API proposal for KEP 3157 commit fe684210564c789259617ec2f154c12b74214ec1 Merge: 545228cd 4301eea3 Author: Kubernetes Prow Robot Date: Thu Jan 19 11:28:16 2023 -0800 Merge pull request #3760 from dgrisonnet/383-update-scope Update KEP-383 graduation criterias commit 4301eea3654fd8cdde5d21dbab835cdaff8ac50f Author: Damien Grisonnet Date: Thu Jan 19 20:04:46 2023 +0100 keps-383: update graduation criterias The issue for KEP-383 can't be closed although the KEP has graduated to stable because all the Kubernetes components haven't been migrated to use the new API. The actual migration is a big effort that needs to be properly planned and as such would be better handled in a seperate KEP. There are also some changes that needs to be considered in order to not break existing behaviors. As such, the plan is to remove the migration from KEP-383's scope and instead do it as part of KEP-3728. Signed-off-by: Damien Grisonnet commit 3ad350bec2dc8114af43f458a3783e3446ed12de Author: Han Kang Date: Wed Jan 18 13:18:08 2023 -0800 KEP-3466: update beta graduation requirements commit 9c120e1a05cf09808974dd4d2bb8939f087f1c90 Author: Han Kang Date: Wed Jan 18 13:11:52 2023 -0800 update toc commit ddcc4839102759392fd4c468150e68f52074b209 Author: Han Kang Date: Wed Jan 18 12:25:48 2023 -0800 update stability KEP for beta commit 9176a2f888f38544dfbc470e7a81b3e15ab491aa Author: Maciej Szulik Date: Mon Aug 1 17:40:20 2022 +0200 Promote CronJob's TimeZone support to GA commit 952a7671f321ab7d8a6ce4cf1f9a63bf75861528 Author: Dan Winship Date: Mon Jan 16 14:43:15 2023 -0500 updates commit 96ae1871e2b2728930a50eae61c8c83d604a05ca Author: Wojciech Tyczyński Date: Thu Nov 24 12:09:59 2022 +0100 Update API proposal for KEP 3157 commit c55599b515ed3a594dd3cc3345433f99f6bb3f15 Author: Catblade Date: Fri Jan 13 15:00:27 2023 -0600 Updates to goals/non-goals. Begin fleshing out user stories. commit 616842ea62df5f5d3656e6ec0dda64120219d979 Author: Catblade Date: Fri Jan 13 14:51:31 2023 -0600 Update Summary to reflect DRA instead of kubelet refactor commit 317234305c10f82a2f4e38b56c5cd07694eb6740 Author: Kermit Alexander II Date: Fri Jan 13 18:14:53 2023 +0000 Update for inclusion of string.format in CEL. commit 4099cdef98ac3a54d85bdedb2f9d0ea7af1930c7 Author: Lior Lieberman Date: Fri Jan 13 15:00:27 2023 +0000 Update verify-toc.sh commit bd7ffce0471d2c4e48d3098e49a10bef4386f195 Author: Dyanngg Date: Wed Jan 11 10:58:54 2023 -0800 Address comments Signed-off-by: Dyanngg commit ba6965366034a8a7c5b3f0469921e1c33074d138 Author: Yang Ding Date: Thu Jun 9 15:17:43 2022 -0700 Update API types as well as doc contents based on CRD implementation Signed-off-by: Yang Ding commit 93020fca1c052fea155d7c32fc4f13b976e0decb Author: astoycos Date: Mon May 23 12:44:18 2022 -0700 Update ANP Sample Yamls Signed-off-by: astoycos commit ebef272c280bb04ea47f8295b3fc0d9626a84484 Author: Andrew Sy Kim Date: Thu Jan 5 10:08:52 2023 -0500 KEP-2133: set status to implemented Signed-off-by: Andrew Sy Kim commit 10fd2c992bda8b4a2db51b773e681b80d46414c4 Author: Ryan Phillips Date: Tue Jan 3 15:12:47 2023 -0600 2238: update liveness probe grace period enhancement for GA commit cf97fd57f3f0febdc24e211093707733d1ed6c64 Author: Dan Winship Date: Thu Dec 1 11:37:09 2022 -0500 KEP-3705 dual-stack cloud --node-ip handling commit 8340d4e569bfe4069e5fe0d4dbd52e4cdf1c423d Merge: 0de89c61 a93d3b4c Author: obiTrinobiIntel <98085336+obiTrinobiIntel@users.noreply.github.com> Date: Mon Dec 12 18:06:26 2022 +0000 Merge pull request #1 from catblade/patch-1 Updates to KEP sections for enhancement #3675, specifically goals, summary, and non-goals. commit a93d3b4cd3fcb8be747a1792875810cef8c79547 Author: Catblade Date: Thu Dec 8 15:58:31 2022 -0600 Read.md changes for resource Plugin Manager * Flesh out motivations * Add in proposal summary * Stub in user stories * Stub in test plan * Stub in pre-development test plan. commit e6c2f97be1de84cb7b23e6cd340f56742fe5cf27 Author: Catblade Date: Tue Dec 6 14:05:11 2022 -0600 Update README.md commit 8ec40d57dcfd20c0bc8cd5ff7c50632e8c2a2e24 Author: Catblade Date: Tue Dec 6 08:26:48 2022 -0600 Fleshing out KEP Add in goals, non-goals. Currently working on summary and motivations. commit 0de89c6106bd82c5a1afd3b6552837c727847ca0 Author: obiTrinobiIntel <98085336+obiTrinobiIntel@users.noreply.github.com> Date: Mon Dec 5 15:21:59 2022 +0000 fix typo commit 22886361968b518389a1e27bdea517ae90a5ab7b Author: Atanas Atanasov Date: Mon Dec 5 09:19:23 2022 -0600 add title commit ae5260c22f58057b11357dcab2a47c522f696226 Author: Atanas Atanasov Date: Mon Dec 5 09:13:23 2022 -0600 added kep template commit 1e8559f6380274386ae7f842e21d8e8c46b89e97 Author: Han Kang Date: Tue Nov 8 12:33:20 2022 -0800 add prr reviewer commit 8c40b32b9068a99829cf630adf756d424b9cf19b Author: Han Kang Date: Tue Nov 8 12:23:46 2022 -0800 update status of klog flag deprecation --- hack/verify-toc.sh | 3 +- keps/NNNN-kep-template/README.md | 12 + .../sig-api-machinery/1040.yaml | 2 + .../sig-api-machinery/2885.yaml | 2 + .../sig-api-machinery/2896.yaml | 2 + .../sig-api-machinery/3352.yaml | 2 + keps/prod-readiness/sig-apps/3140.yaml | 2 + 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.../383-new-event-api-ga-graduation/kep.yaml | 2 +- .../2091-admin-network-policy/README.md | 812 ++++++---- keps/sig-network/2681-pod-host-ip/kep.yaml | 8 +- .../README.md | 381 +++++ .../kep.yaml | 24 + .../README.md | 468 ++++++ .../kep.yaml | 40 + .../sig-network/3705-cloud-node-ips/README.md | 766 ++++++++++ keps/sig-network/3705-cloud-node-ips/kep.yaml | 49 + .../README.md | 294 ++++ .../kep.yaml | 34 + .../README.md | 10 +- .../kep.yaml | 2 +- .../README.md | 14 +- keps/sig-node/2400-node-swap/kep.yaml | 6 +- .../277-ephemeral-containers/kep.yaml | 2 +- .../README.md | 40 +- .../README.md | 861 +++++++++++ .../kep.yaml | 26 + .../CCIAllocSeqAlpha.jpg | Bin 0 -> 314882 bytes .../CCIAllocationSequenceDiagram.jpg | Bin 0 -> 594495 bytes .../CCIArchAlpha.jpg | Bin 0 -> 384800 bytes .../CCIRemovalSequenceDiagram.jpg | Bin 0 -> 493216 bytes .../CCIRemoveSeqAlpha.jpg | Bin 0 -> 257867 bytes .../CCITroubleshooting.jpg | Bin 0 -> 402509 bytes .../ExternallyManagedResourceExtension.jpg | Bin 0 -> 585205 bytes .../3675-resource-plugin-manager/README.md | 1319 +++++++++++++++++ .../3675-resource-plugin-manager/kep.yaml | 42 + .../3720-freezing-k8s-gcr-io/README.md | 172 +++ .../3720-freezing-k8s-gcr-io/kep.yaml | 29 + .../README.md | 49 +- .../kep.yaml | 6 +- .../README.md | 108 +- .../kep.yaml | 15 +- .../3521-pod-scheduling-readiness/README.md | 139 +- .../3521-pod-scheduling-readiness/kep.yaml | 6 +- .../README.md | 924 ++++++++++++ .../kep.yaml | 29 + .../README.md | 322 +++- .../kep.yaml | 7 +- 93 files changed, 9498 insertions(+), 855 deletions(-) create mode 100644 keps/prod-readiness/sig-apps/3715.yaml create mode 100644 keps/prod-readiness/sig-network/3668.yaml create mode 100644 keps/prod-readiness/sig-network/3705.yaml create mode 100644 keps/prod-readiness/sig-node/3673.yaml create mode 100644 keps/prod-readiness/sig-node/3675.yaml create mode 100644 keps/prod-readiness/sig-release/3720.yaml create mode 100644 keps/prod-readiness/sig-scheduling/3633.yaml create mode 100644 keps/sig-apps/3715-elastic-indexed-job/README.md create mode 100644 keps/sig-apps/3715-elastic-indexed-job/kep.yaml create mode 100644 keps/sig-auth/3766-referencegrant/README.md create mode 100644 keps/sig-auth/3766-referencegrant/kep.yaml create mode 100644 keps/sig-network/3458-remove-transient-node-predicates-from-service-controller/README.md create mode 100755 keps/sig-network/3458-remove-transient-node-predicates-from-service-controller/kep.yaml create mode 100644 keps/sig-network/3668-reserved-service-nodeport-range/README.md create mode 100755 keps/sig-network/3668-reserved-service-nodeport-range/kep.yaml create mode 100644 keps/sig-network/3705-cloud-node-ips/README.md create mode 100644 keps/sig-network/3705-cloud-node-ips/kep.yaml create mode 100644 keps/sig-network/3726-standard-application-protocols/README.md create mode 100644 keps/sig-network/3726-standard-application-protocols/kep.yaml create mode 100644 keps/sig-node/3673-kubelet-parallel-image-pull-limit/README.md create mode 100644 keps/sig-node/3673-kubelet-parallel-image-pull-limit/kep.yaml create mode 100644 keps/sig-node/3675-resource-plugin-manager/CCIAllocSeqAlpha.jpg create mode 100644 keps/sig-node/3675-resource-plugin-manager/CCIAllocationSequenceDiagram.jpg create mode 100644 keps/sig-node/3675-resource-plugin-manager/CCIArchAlpha.jpg create mode 100644 keps/sig-node/3675-resource-plugin-manager/CCIRemovalSequenceDiagram.jpg create mode 100644 keps/sig-node/3675-resource-plugin-manager/CCIRemoveSeqAlpha.jpg create mode 100644 keps/sig-node/3675-resource-plugin-manager/CCITroubleshooting.jpg create mode 100644 keps/sig-node/3675-resource-plugin-manager/ExternallyManagedResourceExtension.jpg create mode 100644 keps/sig-node/3675-resource-plugin-manager/README.md create mode 100644 keps/sig-node/3675-resource-plugin-manager/kep.yaml create mode 100644 keps/sig-release/3720-freezing-k8s-gcr-io/README.md create mode 100644 keps/sig-release/3720-freezing-k8s-gcr-io/kep.yaml create mode 100644 keps/sig-scheduling/3633-matchlabelkeys-to-podaffinity/README.md create mode 100644 keps/sig-scheduling/3633-matchlabelkeys-to-podaffinity/kep.yaml diff --git a/hack/verify-toc.sh b/hack/verify-toc.sh index e4f84abc54f8..0d06e18690d7 100755 --- a/hack/verify-toc.sh +++ b/hack/verify-toc.sh @@ -47,6 +47,7 @@ echo "Checking table of contents are up to date..." find keps -name '*.md' \ | grep -Fxvf hack/.notableofcontents \ | xargs mdtoc --inplace --max-depth=5 --dryrun || ( - echo "Table of content not up to date. If this failed silently and you are on mac, try 'brew install grep'" + echo "Table of content not up to date. Did you run 'make update-toc' ?" + echo "If this failed silently and you are on mac, try 'brew install grep'" exit 1 ) diff --git a/keps/NNNN-kep-template/README.md b/keps/NNNN-kep-template/README.md index 2d6e477767b7..18d6c1461139 100644 --- a/keps/NNNN-kep-template/README.md +++ b/keps/NNNN-kep-template/README.md @@ -720,6 +720,18 @@ This through this both in small and large cases, again with respect to the [supported limits]: https://git.k8s.io/community//sig-scalability/configs-and-limits/thresholds.md --> +###### Can enabling / using this feature result in resource exhaustion of some node resources (PIDs, sockets, inodes, etc.)? + + + ### Troubleshooting + +### Version Skew Strategy + +This feature affects only the kube-apiserver, so there is no issue +with version skew with other components. ## Production Readiness Review Questionnaire ### Feature Enablement and Rollback -* **How can this feature be enabled / disabled in a live cluster?** To enable - priority and fairness, all of the following must be enabled: - - [x] Feature gate - - Feature gate name: APIPriorityAndFairness - - Components depending on the feature gate: - - kube-apiserver - - [x] Command-line flags - - `--enable-priority-and-fairness`, and - - `--runtime-config=flowcontrol.apiserver.k8s.io/v1alpha1=true` +###### How can this feature be enabled / disabled in a live cluster? + +- [x] Feature gate (also fill in values in `kep.yaml`) + - Feature gate name: APIPriorityAndFairness + - Components depending on the feature gate: + - kube-apiserver +- [x] Other + - Describe the mechanism: command-line flag + `enable-priority-and-fairness`, which defaults to `true`. + - Will enabling / disabling the feature require downtime of the + control plane? Changing a command-line flag requires restarting + the kube-apiserver. + - Will enabling / disabling the feature require downtime or + reprovisioning of a node? (Do not assume `Dynamic Kubelet Config` + feature is enabled). No. -* **Does enabling the feature change any default behavior?** Yes, requests that - weren't rejected before could get rejected while requests that were rejected - previously may be allowed. Performance of kube-apiserver under heavy load - will likely be different too. +###### Does enabling the feature change any default behavior? -* **Can the feature be disabled once it has been enabled (i.e. can we roll back - the enablement)?** Yes. +Yes, requests that weren't rejected before could get rejected while +requests that were rejected previously may be allowed. Performance of +kube-apiserver under heavy load will likely be different too. -* **What happens if we reenable the feature if it was previously rolled back?** - The feature will be restored. +###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? -* **Are there any tests for feature enablement/disablement?** No. Manual tests - will be run before switching feature gate to beta. +Yes. + +###### What happens if we reenable the feature if it was previously rolled back? + +The feature will be restored. + +###### Are there any tests for feature enablement/disablement? + +No. Manual tests were run before switching feature gate to beta. ### Rollout, Upgrade and Rollback Planning -* **How can a rollout fail? Can it impact already running workloads?** A - misconfiguration could cause apiserver requests to be rejected, which could - have widespread impact such as: (1) rejecting controller requests, thereby - bringing a lot of things to a halt, (2) dropping node heartbeats, which may - result in overloading other nodes, (3) rejecting kube-proxy requests to - apiserver, thereby breaking existing workloads, (4) dropping leader election - requests, resulting in HA failure, or any combination of the above. - -* **What specific metrics should inform a rollback?** An abnormal spike in the - `apiserver_flowcontrol_rejected_requests_total` metric should potentially be - viewed as a sign that kube-apiserver is rejecting requests, potentially - incorrectly. The `apiserver_flowcontrol_request_queue_length_after_enqueue` - metric getting too close to the configured queue length could be a sign of - insufficient queue size (or a system overload), which can be precursor to - rejected requests. - -* **Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested?** - No. Manual tests will be run before switching feature gate to beta. - -* **Is the rollout accompanied by any deprecations and/or removals of features, APIs, - fields of API types, flags, etc.?** Yes, `--max-requests-inflights` will be - deprecated in favor of APF. +###### How can a rollout or rollback fail? Can it impact already running workloads? -### Monitoring Requirements +A misconfiguration could cause apiserver requests to be rejected, +which could have widespread impact such as: (1) rejecting controller +requests, thereby bringing a lot of things to a halt, (2) dropping +node heartbeats, which may result in overloading other nodes, (3) +rejecting kube-proxy requests to apiserver, thereby breaking existing +workloads, (4) dropping leader election requests, resulting in HA +failure, or any combination of the above. -* **How can an operator determine if the feature is in use by workloads?** - If the `apiserver_flowcontrol_dispatched_requests_total` metric is non-zero, - this feature is in use. Note that this isn't a workload feature, but a - control plane one. +###### What specific metrics should inform a rollback? -* **What are the SLIs (Service Level Indicators) an operator can use to determine -the health of the service?** - - [x] Metrics - - Metric name: `apiserver_flowcontrol_request_queue_length_after_enqueue` - - Components exposing the metric: kube-apiserver +See [the remarks on service health](#what-are-the-slis-service-level-indicators-an-operator-can-use-to-determine-the-health-of-the-service). -* **What are the reasonable SLOs (Service Level Objectives) for the above SLIs?** - No SLOs are proposed for the above SLI. +###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? + +Manual tests were run during promotion to Beta in 1.20. + +###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? + +The rollout replaces the behavior of the max-in-flight filter with the +more sophisticated behavior of this feature. + +### Monitoring Requirements -* **Are there any missing metrics that would be useful to have to improve observability -of this feature?** No. +###### How can an operator determine if the feature is in use by workloads? + +If the `apiserver_flowcontrol_dispatched_requests_total` metric is +non-zero, this feature is in use. Note that this isn't a workload +feature, but a control plane one. + +###### How can someone using this feature know that it is working for their instance? + +The classification functionality can be reviewed by looking at the +`apf_pl` and `apf_fs` attributes that appear in the httplog lines from +the apiserver when `-v=3` or more verbose. The classification is also +reported in each HTTP response via the +`X-Kubernetes-PF-PriorityLevel-UID` and +`X-Kubernetes-PF-FlowSchema-UID` headers, respectively. + +The nominal division of concurrency can be checked by looking at the +`apiserver_flowcontrol_nominal_limit_seats` metric of the limited +priority levels to see whether they are in the proportions given by +the `NominalConcurrencyShares` fields in the corresponding +`PriorityLevelConfiguration` objects, and sum to the server's +concurrency limit (the sum of the `--max-requests-inflight` and +`--max-mutating-requests-inflight` command line parameters) allowing +for rounding error. + +The dynamic adjustment of concurrency limits can be checked for +validity by checking whether the +`apiserver_flowcontrol_current_limit_seats` metrics sum to the +server's concurrency limit allowing for rounding error. The +responsiveness to load can be checked by comparing those dynamic +concurrency limits to various indications of load and keeping in mind +the bounds shown by the `apiserver_flowcontrol_lower_limit_seats` and +`apiserver_flowcontrol_upper_limit_seats` metrics. Indications of +load include the `apiserver_flowcontrol_request_wait_duration_seconds` +histogram vector metric and the +`apiserver_flowcontrol_demand_seats_smoothed` gauge vector metric. + +The dispatching can be checked by checking whether there are +significant queuing delays only for flow schemeas that go to priority +levels whose seats are highly utilized. The histogram vector metric +`apiserver_flowcontrol_request_wait_duration_seconds` shows the +former, and tThe histogram vector metric +`apiserver_flowcontrol_priority_level_seat_utilization` shows the +latter. + +###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? + +None have been identified. + +###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? + +Since this feature is about protecting the server from overload, +trouble in this feature and actual overload can show similar symptoms. +Following are some thoughts about how to tell them apart. + +- high latency / long queue lengths + low request volume / low CPU + usage = probably APF misconfiguration or bug + +- high latency / long queue lengths + high request volume / high CPU + usage = probably APF is saving your cluster from an outage + +The following metrics give relevant clues. + +- `apiserver_flowcontrol_request_wait_duration_seconds` shows queuing + delay in APF. +- `apiserver_flowcontrol_request_execution_seconds` shows execution + durations in APF; that summed with + `apiserver_flowcontrol_request_wait_duration_seconds` shows total + handling time covered by APF. +- The `apiserver_request_duration_seconds_count` histogram shows total + request delay as measured in a handler tha encloses APF, grouped by + request characteristics. +- The rate of change in + `apiserver_flowcontrol_request_execution_seconds_count` shows the + rates of request handling, grouped by flow schema. +- The rate of change in `apiserver_request_total` shows the rates at + which requests are being handled, grouped by request + characteristics. +- the `apiserver_flowcontrol_current_inqueue_requests` gauge vector + samples queue lengths for each flow schema. +- the `apiserver_flowcontrol_priority_level_seat_utilization` + histogram vector summarizes per-nanosecond samples of the fraction + each priority level's seats that are occupied (these should not all + be low if the server is heavily loaded). + +###### Are there any missing metrics that would be useful to have to improve observability of this feature? + +No. ### Dependencies -* **Does this feature depend on any specific services running in the cluster?** - No. +###### Does this feature depend on any specific services running in the cluster? + +No ### Scalability -* **Will enabling / using this feature result in any new API calls?** Yes. - Self-requests for new API objects will be introduced. In addition, the - request execution order may change, which could occasionally increase the - number of retries. +###### Will enabling / using this feature result in any new API calls? -* **Will enabling / using this feature result in introducing new API types?** - Yes, a new flowcontrol API group, configuration types, and status types are - introduced. See `k8s.io/api/flowcontrol/v1alpha1/types.go` for a full list. +Yes. Self-requests for new API objects will be introduced. In +addition, the request execution order may change, which could +occasionally increase the number of retries. -* **Will enabling / using this feature result in any new calls to the cloud - provider?** No. +###### Will enabling / using this feature result in introducing new API types? -* **Will enabling / using this feature result in increasing size or count of - the existing API objects?** No. +Yes, a new flowcontrol API group, configuration types, and status +types are introduced. See `k8s.io/api/flowcontrol/v1alpha1/types.go` +for a full list. -* **Will enabling / using this feature result in increasing time taken by any - operations covered by [existing SLIs/SLOs]?** Yes, a non-negligible latency - is added to API calls to kube-apiserver. While [preliminary tests](https://github.com/tkashem/graceful/blob/master/priority-fairness/filter-latency/readme.md) - shows that the API server latency is still well within the existing SLOs, - more thorough testing needs to be performed. +###### Will enabling / using this feature result in any new calls to the cloud provider? -* **Will enabling / using this feature result in non-negligible increase of - resource usage (CPU, RAM, disk, IO, ...) in any components?** The proposed - flowcontrol logic in request handling in kube-apiserver will increase the CPU - and memory overheads involved in serving each request. Note that the resource - usage will be configurable and may require the operator to fine-tune some - parameters. +No. -### Troubleshooting +###### Will enabling / using this feature result in increasing size or count of the existing API objects? -* **How does this feature react if the API server and/or etcd is unavailable?** - The feature is itself within the API server. Etcd being unavailable would - likely cause kube-apiserver to fail at processing incoming requests. +No. -* **What are other known failure modes?** A misconfiguration could reject - requests incorrectly. See the rollout and monitoring sections for details on - which metrics to watch to detect such failures (see the `kep.yaml` file for - the full list of metrics). The following kube-apiserver log messages could - also indicate potential issues: - - "Unable to list PriorityLevelConfiguration objects" - - "Unable to list FlowSchema objects" +###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? -* **What steps should be taken if SLOs are not being met to determine the - problem?** No SLOs are proposed. +Yes, a non-negligible latency is added to API calls to +kube-apiserver. While [preliminary +tests](https://github.com/tkashem/graceful/blob/master/priority-fairness/filter-latency/readme.md) +shows that the API server latency is still well within the existing +SLOs, more thorough testing needs to be performed. -[supported limits]: https://git.k8s.io/community//sig-scalability/configs-and-limits/thresholds.md -[existing SLIs/SLOs]: https://git.k8s.io/community/sig-scalability/slos/slos.md#kubernetes-slisslos +###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? -## Implementation History +The proposed flowcontrol logic in request handling in kube-apiserver +will cause a small increase the CPU and memory overheads involved in +serving each request when there is no significant queuing. When there +_is_ significant queuing, it is because this feature is doing its +intended function of smoothing out usage of many resources by limiting +the number of requests being actively handled at once. Holding +requests in queues involves an added memory cost. Note that the +resource usage will be configurable and may require the operator to +fine-tune some parameters. + +###### Can enabling / using this feature result in resource exhaustion of some node resources (PIDs, sockets, inodes, etc.)? + +This feature does not directly consume any resources on worker nodes. +It can have indirect effects, through the changes in how the +kube-apiserver serves requests. +### Troubleshooting + +###### How does this feature react if the API server and/or etcd is unavailable? + +This feature is entirely in the apiserver, so will be unavailable when +the apiserver is unavailable. + +This feature does not depend directly on the storage and will continue +to perform its function while the storage is unavailable, except for +the parts of the function that involve maintaining its configuration +objects and reacting to changes in them. While the storage is +unavailable this feature continues to use the last configuration that +it read. Unavailability of storage will naturally have severe effects +on request executions and this feature will react to the relevant +consequences. + +###### What are other known failure modes? + + - Some client makes requests with big responses that the client does + not finish reading in the first minute, constantly occupying (hand + size) X (max width = 10) seats --- which nearly starves other + clients when the priority level's concurrency limit is not much + greater than that. + - Detection: How can it be detected via metrics? In this situation + the requests from the bad client will timeout during execution + at a rate of (hand size)/minute, and other requests in the same + priority level will almost all timeout while waiting in a queue. + - Mitigations: What can be done to stop the bleeding, especially + for already running user workloads? Identify the bad client and + create a special flow schema and priority level to isolate that + client. + - Diagnostics: What are the useful log messages and their required + logging levels that could help debug the issue? In the + kube-apiserver's log at `-v=3` or more verbose the httplog + entries will indicate timeouts. + - Testing: Are there any tests for failure mode? If not, describe + why. We only recently realized this failure mode and we hope to + make a change that will prevent it or automatically mitigate it. + See https://github.com/kubernetes/kubernetes/issues/115409 . + + - A misconfiguration could reject + requests incorrectly. + - Detection: See the rollout and monitoring sections for details + on which metrics to watch to detect such failures (see the + `kep.yaml` file for the full list of metrics). The following + kube-apiserver log messages could also indicate potential + issues: + - "Unable to list PriorityLevelConfiguration objects" + - "Unable to list FlowSchema objects" + +###### What steps should be taken if SLOs are not being met to determine the problem? + +No SLOs are proposed. -- v1.19: `Alpha` release +## Implementation History + +- v1.18: `Alpha` release - v1.20: graduated to `Beta` - v1.22: initial support for width concept and watch initialization - v1.23: introduce `v1beta2` API - no changes compared to `v1beta1` - `v1beta1` remain as storage version - v1.24: storage version changed to `v1beta2` +- v1.26: introduce concurrency borrowing between priority levels ## Drawbacks @@ -2995,6 +3184,5 @@ designs not chosen. ## Infrastructure Needed -The end-to-end test suite should exercise the functionality introduced -by this KEP. This may require creating a special client to submit an -overload of low-priority work. +Nothing beyond the usual CI. + diff --git a/keps/sig-api-machinery/1040-priority-and-fairness/kep.yaml b/keps/sig-api-machinery/1040-priority-and-fairness/kep.yaml index befebd21bb18..55f16b8c3932 100644 --- a/keps/sig-api-machinery/1040-priority-and-fairness/kep.yaml +++ b/keps/sig-api-machinery/1040-priority-and-fairness/kep.yaml @@ -10,6 +10,7 @@ participating-sigs: - wg-multitenancy - sig-scheduling status: implementable +creation-date: 2019-02-28 reviewers: - "@deads2k" - "@lavalamp" @@ -19,21 +20,20 @@ reviewers: approvers: - "@deads2k" - "@lavalamp" -creation-date: 2019-02-28 # The target maturity stage in the current dev cycle for this KEP. -stage: beta +stage: stable # The most recent milestone for which work toward delivery of this KEP has been # done. This can be the current (upcoming) milestone, if it is being actively # worked on. -latest-milestone: "v1.23" +latest-milestone: "v1.27" # The milestone at which this feature was, or is targeted to be, at each stage. milestone: alpha: "v1.18" beta: "v1.20" - stable: "v1.23" + stable: "v1.27" # The following PRR answers are required at alpha release. # List the feature gate name and the components for which it must be enabled. @@ -47,9 +47,33 @@ disable-supported: true metrics: - apiserver_flowcontrol_rejected_requests_total - apiserver_flowcontrol_dispatched_requests_total +- apiserver_flowcontrol_priority_level_seat_utilization +- apiserver_flowcontrol_priority_level_request_utilization +- apiserver_flowcontrol_read_vs_write_current_requests +- apiserver_flowcontrol_current_r +- apiserver_flowcontrol_dispatch_r +- apiserver_flowcontrol_latest_s +- apiserver_flowcontrol_next_s_bounds +- apiserver_flowcontrol_next_discounted_s_bounds - apiserver_flowcontrol_current_inqueue_requests - apiserver_flowcontrol_request_queue_length_after_enqueue - apiserver_flowcontrol_request_concurrency_limit - apiserver_flowcontrol_current_executing_requests +- apiserver_flowcontrol_request_concurrency_in_use - apiserver_flowcontrol_request_wait_duration_seconds - apiserver_flowcontrol_request_execution_seconds +- apiserver_flowcontrol_watch_count_samples +- apiserver_flowcontrol_epoch_advance_total +- apiserver_flowcontrol_work_estimated_seats +- apiserver_flowcontrol_request_dispatch_no_accommodation_total +- apiserver_flowcontrol_nominal_limit_seats +- apiserver_flowcontrol_lower_limit_seats +- apiserver_flowcontrol_upper_limit_seats +- apiserver_flowcontrol_demand_seats +- apiserver_flowcontrol_demand_seats_high_watermark +- apiserver_flowcontrol_demand_seats_average +- apiserver_flowcontrol_demand_seats_stdev +- apiserver_flowcontrol_demand_seats_smoothed +- apiserver_flowcontrol_target_seats +- apiserver_flowcontrol_seat_fair_frac +- apiserver_flowcontrol_current_limit_seats diff --git a/keps/sig-api-machinery/2885-server-side-unknown-field-validation/README.md b/keps/sig-api-machinery/2885-server-side-unknown-field-validation/README.md index 5c21990c662e..5d2fc7449907 100644 --- a/keps/sig-api-machinery/2885-server-side-unknown-field-validation/README.md +++ b/keps/sig-api-machinery/2885-server-side-unknown-field-validation/README.md @@ -105,6 +105,8 @@ tags, and then generate with `hack/update-toc.sh`. - [Graduation Criteria](#graduation-criteria) - [Alpha](#alpha) - [Beta](#beta) + - [GA](#ga) + - [Version Skew Strategy](#version-skew-strategy) - [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) - [Feature Enablement and Rollback](#feature-enablement-and-rollback) - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) @@ -313,11 +315,12 @@ client-side validation, albeit one that is error-prone and not officially supported). Long-term, we want to favor using out-of-tree solutions for client-side -validation, though this idea is still in its infancy. +validation. The [kubeconform](https://github.com/yannh/kubeconform) project is an example of an out-of-tree solution that does this. -The [kubeval](https://www.kubeval.com/) project is an example of an out-of-tree solution that does this, and -we will look into expanding its support of open API to v3, and investigate -whether it makes sense as a permanent solution to client-side validation. +SIG API Machinery's effort will go to producing clear and complete (and +improving over time) API spec documents insteading of making client side +validation. We strongly recommend that third part integrators make use of such +documents. ##### Aligning json and yaml errors @@ -615,6 +618,11 @@ It tests the cross product of all valid permutations along the dimensions of: With field validation on by default in beta, we will modify [test/e2e/kubectl/kubectl.go](https://github.com/kubernetes/kubernetes/blob/master/test/e2e/kubectl/kubectl.go) to ensure that kubectl defaults to using server side field validation and detects unknown/duplicate fields as expected. +[GA] +We will introduce field validation specific e2e/conformance tests to submit +requests directly against the API server for both built-in and custom resources +to test that duplicate and unknown fields are appropriately detected. + ### Graduation Criteria ### Version Skew Strategy -If applicable, how will the component handle version skew with other -components? What are the guarantees? Make sure this is in the test plan. +Following the graduation of server-side field validation to GA, there will be a +period of time when a newer client (which expects server-side field validation locked in GA) will send +requests to an older server that could have server-side field validation +disabled. -Consider the following in developing a version skew strategy for this -enhancement: -- Does this enhancement involve coordinating behavior in the control plane and - in the kubelet? How does an n-2 kubelet without this feature available behave - when this feature is used? -- Will any other components on the node change? For example, changes to CSI, - CRI or CNI may require updating that component before the kubelet. ---> +Until version skew makes it incompatible for a client to hit a server +with field validation disabled, kubectl must continue to check if the feature is +enabled server-side. As long as the feature can be disabled server-side, kubectl +must continue to have client-side validation. When the feature can't be disabled +server-side, kubectl should remove client-side validation entirely. + +Given that kubectl [supports](https://kubernetes.io/releases/version-skew-policy/#kubectl) one minor version skew (older or newer) of kube-apipserver, +this would mean that removing client-side validation in 1.28 would be +1-version-skew-compatible with GA in 1.27 (when server-side validation can no +longer be disabled). + +See section on [Out-of-Tree +Alternatives to Client Side +Validation](#out-of-tree-alternatives-to-client-side-validation) for +alternatives to client-side validation ## Production Readiness Review Questionnaire @@ -749,6 +761,8 @@ Pick one of these and delete the rest. - [x] Feature gate (also fill in values in `kep.yaml`) - Feature gate name: ServerSideFieldValidation - Components depending on the feature gate: kube-apiserver + - Note: feature gate locked to true upon graduation to GA (1.27) and removed + two releases later (1.29) - [x] Other - Describe the mechanism: query parameter - Will enabling / disabling the feature require downtime of the control @@ -851,8 +865,15 @@ Recall that end users cannot usually observe component logs or access metrics. ###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? -Users should expect to see an increase in request latency and memory usage -(~20-25% increase) for requests that desire server side schema validation. +We have benchmark tests for field validation +[here](https://github.com/kubernetes/kubernetes/blob/master/test/integration/apiserver/field_validation_test.go#L2936-L2996) and an analysis of those +benchmarks summarized +[here](https://github.com/kubernetes/kubernetes/pull/107848#issuecomment-1032216698). + +Based on the above, users should should expect to see negligible latency increases (with the +exception of SMP requests that are ~5% slower), and memory that is negligible +for JSON (and no change for protobuf), but around 10-20% more memory usage for +YAML data. Cluster operators can also use cpu usage monitoring to determine whether increased usage of server-side schema validation dramatically increases CPU usage after feature enablement. diff --git a/keps/sig-api-machinery/2885-server-side-unknown-field-validation/kep.yaml b/keps/sig-api-machinery/2885-server-side-unknown-field-validation/kep.yaml index 3e69f60e4bba..26528b7ff4cd 100644 --- a/keps/sig-api-machinery/2885-server-side-unknown-field-validation/kep.yaml +++ b/keps/sig-api-machinery/2885-server-side-unknown-field-validation/kep.yaml @@ -18,21 +18,22 @@ see-also: replaces: # The target maturity stage in the current dev cycle for this KEP. -stage: beta +stage: stable # The most recent milestone for which work toward delivery of this KEP has been # done. This can be the current (upcoming) milestone, if it is being actively # worked on. -latest-milestone: "v1.25" +latest-milestone: "v1.27" # The milestone at which this feature was, or is targeted to be, at each stage. milestone: alpha: "v1.23" beta: "v1.25" - stable: "v1.26" + stable: "v1.27" # The following PRR answers are required at alpha release # List the feature gate name and the components for which it must be enabled +# Note: feature-gate removed upon graduation to GA in 1.27 feature-gates: - name: ServerSideFieldValidation components: diff --git a/keps/sig-api-machinery/2896-openapi-v3/README.md b/keps/sig-api-machinery/2896-openapi-v3/README.md index 43b2a0a8cc62..48e7b257950d 100644 --- a/keps/sig-api-machinery/2896-openapi-v3/README.md +++ b/keps/sig-api-machinery/2896-openapi-v3/README.md @@ -63,6 +63,7 @@ Architecture for cross-cutting KEPs). --> - [Proposal](#proposal) - [Notes/Constraints/Caveats (Optional)](#notesconstraintscaveats-optional) - [Future Work](#future-work) + - [OpenAPI V2 plan](#openapi-v2-plan) - [Risks and Mitigations](#risks-and-mitigations) - [Design Details](#design-details) - [Paths](#paths) @@ -73,10 +74,12 @@ Architecture for cross-cutting KEPs). --> - [OpenAPI](#openapi) - [Version Skew](#version-skew) - [OpenAPI V3 Proto](#openapi-v3-proto) + - [Clients](#clients) - [Test Plan](#test-plan) - [Graduation Criteria](#graduation-criteria) - [Alpha](#alpha) - [Beta](#beta) + - [GA](#ga) - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) - [Version Skew Strategy](#version-skew-strategy) - [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) @@ -209,6 +212,17 @@ endpoints. After OpenAPI v3 is implemented, we can start working on updating clients to consume OpenAPI v3. A separate KEP will be published for that. +#### OpenAPI V2 plan + +As OpenAPI V3 becomes more and more available and easily accessible, +clients should move to OpenAPI V3 in favor of OpenAPI V2. This should +result in a steady decline in the number of requests sent to the +OpenAPI V2 endpoint. In the short term, we will make OpenAPI V2 make +computations more lazily, deferring the aggregation and marshaling +process to be on demand rather than at a set interval. This is not +directly part of OpenAPI V3's GA plan, but is something we will be +monitoring closely once OpenAPI V3 is GA. + ### Risks and Mitigations Aggregation for OpenAPI v2 already consumes a non-negligible amount of @@ -277,6 +291,12 @@ updates. If there is a race and the client passes in an outdated etag value, the server will send a 301 to redirect the client to the URL with the latest etag value. +To ensure that the client cache does not grow in an unbounded manner, +the client-go disk cache will be replaced with a cmopactable disk +cache which performs occasional cleanup of old cached files. Refer to +[PR](https://github.com/kubernetes/kubernetes/pull/109701) for more +details. + ### Controllers #### OpenAPI Builder @@ -383,6 +403,16 @@ This solves the immediate protobuf issue but adds complexity to the OpenAPI sche The final alternative is to upgrade to OpenAPI 3.1 where the new JSON Schema version it is based off of supports fields alongside a `$ref`. However, OpenAPI does not follow semvar and 3.1 is a major upgrade over 3.0 and introduces various backwards incompatible changes. Furthermore, library support is currently lacking (gnostic) and doesn't fully support OpenAPI 3.1. One important backwards incompatible change is the removal of the nullable field and replacing it by changing the type field from a single string to an array of strings. +### Clients + +Updating all OpenAPI V2 clients to use OpenAPI V3 is outside the scope +of this KEP and part of future work. However, some key clients will be +updated to use OpenAPI V3 as part of GA. One example is [OpenAPI V3 +for kubectl +explain](https://github.com/kubernetes/enhancements/blob/master/keps/sig-cli/3515-kubectl-explain-openapiv3/README.md). +Server Side Apply will also be updated to directly use the OpenAPI V3 +schema rather than OpenAPI V2. Finally, the query param verifier in +kubectl will be updated to use OpenAPI V3. ### Test Plan @@ -407,6 +437,8 @@ For alpha, unit tests will be included to ensure that v3 schemas are properly generated and published. A validator will also be used to ensure that the spec generated is valid OpenAPI v3. +A fuzzer and performance benchmark tests will also be included. + ### Graduation Criteria #### Alpha @@ -420,13 +452,20 @@ generated is valid OpenAPI v3. - Incorrect OpenAPI polymorphic types (IntOrString, Quantity) are updated to use `anyOf` in OpenAPI V3 - Definition names of native resources are updated to omit their package paths - Parameters are reused as components -- `kubectl explain` to support using the OpenAPI v3 Schema - Aggregated API servers are queried for their v2 endpoint and converted to publish v3 if they do not directly publish v3 - Heuristics are used for the OpenAPI v2 to v3 conversion to maximize correctness of published spec - Aggregation for OpenAPI v3 will serve as a proxy to downstream OpenAPI paths +#### GA + +- OpenAPI V3 uses the optimized JSON marshaler for increased performance. See [link](https://github.com/kubernetes/kube-openapi/pull/319) for the benefits with OpenAPI V2. +- [Updated OpenAPI V3 Client Interface](https://docs.google.com/document/d/1HmqJH-yyK8WyU8V1y5z-RyMLq9-Xe8JfTTuaNkm9GZ0) +- Direct conversion from OpenAPI V3 to SMD schema for Server Side Apply +- HTTP Disk Cache is replaced with Compactable Disk Cache +- Conformance tests + ### Upgrade / Downgrade Strategy -In order to lower memory consumption while getting a list of data and make it more predictable, we propose to use consistent streaming from the watch-cache instead of paging from etcd. +In order to lower memory consumption while getting a list of data and make it more predictable, we propose to use streaming from the watch-cache instead of paging from etcd. Initially, the proposed changes will be applied to informers as they are usually the heaviest users of LIST requests (see [Appendix](#appendix) section for more details on how informers operate today). The primary idea is to use standard WATCH request mechanics for getting a stream of individual objects, but to use it for LISTs. This would allow us to keep memory allocations constant. @@ -266,17 +271,17 @@ plus a few additional allocations, that will be explained later in this document The rough idea/plan is as follows: - step 1: change the informers to establish a WATCH request with a new query parameter instead of a LIST request. -- step 2: upon receiving the request from an informer, contact etcd to get the latest RV. It will be used to make sure the watch cache has seen objects up to the received RV. This step is necessary and ensures we will serve consistent data, even from the cache. -- step 2a: send all objects currently stored in memory for the given resource. +- step 2: upon receiving the request from an informer, compute the RV at which the result should be returned (possibly contacting etcd if consistent read was requested). It will be used to make sure the watch cache has seen objects up to the received RV. This step is necessary and ensures we will meet the consistency requirements of the request. +- step 2a: send all objects currently stored in memory for the given resource type. - step 2b: propagate any updates that might have happened meanwhile until the watch cache catches up to the latest RV received in step 2. - step 2c: send a bookmark event to the informer with the given RV. - step 3: listen for further events using the request from step 1. Note: the proposed watch-list semantics (without bookmark event and without the consistency guarantee) kube-apiserver follows already in RV="0" watches. The mode is not used in informers today but is supported by every kube-apiserver for legacy, compatibility reasons. -A watch started with RV="0" may return stale. It is possible for the watch to start at a much older resource version that the client has previously observed, particularly in high availability configurations, due to partitions or stale caches +A watch started with RV="0" may return stale data. It is possible for the watch to start at a much older resource version that the client has previously observed, particularly in high availability configurations, due to partitions or stale caches. -Note 2: informers need consistent lists to avoid time-travel when switching to another HA instance of kube-apiserver with outdated/lagging watch cache. +Note 2: informers need consistent lists to avoid time-travel when initializing after restart to avoid time travel in case of switching to another HA instance of kube-apiserver with outdated/lagging watch cache. See the following [issue](https://github.com/kubernetes/kubernetes/issues/59848) for more details. @@ -310,7 +315,7 @@ required) or even code snippets. If there's any ambiguity about HOW your proposal will be implemented, this is the place to discuss them. --> -### Required changes for a WATCH request with the RV="" and the ResourceVersionMatch=MostRecent +### Required changes for a WATCH request with the SendInitialEvents=true The following sequence diagram depicts steps that are needed to complete the proposed feature. A high-level overview of each was provided in a table that follows immediately the diagram. @@ -328,11 +333,11 @@ Whereas further down in this section we provided a detailed description of each 2. - The watch cache contacts etcd for the most up-to-date ResourceVersion. + If needed, the watch cache contacts etcd for the most up-to-date ResourceVersion. 2a. - The watch cache starts streaming initial data. The data it already has in memory. + The watch cache starts streaming initial data it already has in memory. 2b. @@ -352,14 +357,14 @@ Whereas further down in this section we provided a detailed description of each -Step 1: On initialization the reflector gets a snapshot of data from the server by passing RV=”” (= unset value) and setting resourceVersionMatch=MostRecent (= ensure freshness). +Step 1: On initialization the reflector gets a snapshot of data from the server by passing RV=”” (= unset value) to ensure freshness and setting resourceVersionMatch=NotOlderThan and sendInitialEvents=true. We do that only during the initial ListAndWatch call. Each event (ADD, UPDATE, DELETE) except the BOOKMARK event received from the server is collected. -Passing resourceVersionMatch=MostRecent tells the cacher it has to guarantee that the cache is at least up to date as a LIST executed at the same time. +Passing resourceVersion="" tells the cacher it has to guarantee that the cache is at least up to date as a LIST executed at the same time. Note: This ensures that returned data is consistent, served from etcd via a quorum read and prevents "going back in time". -Note 2: Unfortunately as of today, the watch cache is vulnerable to stale reads, see https://github.com/kubernetes/kubernetes/issues/59848 for more details. +Note 2: Watch cache currently doesn't have the feature of supporting resourceVersion="" and thus is vulnerable to stale reads, see https://github.com/kubernetes/kubernetes/issues/59848 for more details. Step 2: Right after receiving a request from the reflector, the cacher gets the current resourceVersion (aka bookmarkAfterResourceVersion) directly from the etcd. It is used to make sure the cacher is up to date (has seen data stored in etcd) and to let the reflector know it has seen all initial data. @@ -447,19 +452,52 @@ It replaces its internal store with the collected items (syncWith) and reuses th #### API changes -Extend the optional `ResourceVersionMatch` query parameter of `ListOptions` with the following enumeration value: +Extend the `ListOptions` struct with the following field: ``` -const ( - // ResourceVersionMatchMostRecent matches data at the most recent ResourceVersion. - // The returned data is consistent, that is, served from etcd via a quorum read. - // For watch calls, it begins with synthetic "Added" events of all resources up to the most recent ResourceVersion. - // It ends with a synthetic "Bookmark" event containing the most recent ResourceVersion. - // For list calls, it has the same semantics as leaving ResourceVersion and ResourceVersionMatch unset. - ResourceVersionMatchMostRecent ResourceVersionMatch = "MostRecent" -) +type ListOptions struct { + ... + + // SendInitialEvents, when set together with Watch option, + // begin the watch stream with synthetic init events to build the + // whole state of all resources followed by a synthetic "Bookmark" + // event containing a ResourceVersion after which the server + // continues streaming events. + // + // When SendInitialEvents option is set, we require ResourceVersionMatch + // option to also be set. The semantic of the watch request is as following: + // - ResourceVersionMatch = NotOlderThan + // It starts with sending initial events for all objects (at some resource + // version), potentially followed by an event stream until the state + // becomes synced to a resource version as fresh as the one provided by + // the ResourceVersion option. At this point, a synthetic bookmark event + // is send and watch stream is continued to be send. + // If RV is unset, this is interpreted as "consistent read" and the + // bookmark event is send when the state is synced at least to the moment + // when request started being processed. + // - ResourceVersionMatch = Exact + // Unsupported error is returned. + // - ResourceVersionMatch unset (or set to any other value) + // BadRequest error is returned. + // + // Defaults to true if ResourceVersion="" or ResourceVersion="0" (for backward + // compatibility reasons) and to false otherwise. + SendInitialEvents bool +} ``` +The watch bookmark marking the end of initial events stream will have a dedicated +annotation: +``` +"k8s.io/initial-events-end": "true" +``` +(the exact name is subject to change during API review). It will allow clients to +precisely figure out when the initial stream of events is finished. + +It's worth noting that explicitly setting SendInitialEvents to false with ResourceVersion="0" +will result in not sending initial events, which makes the option works exactly the same +across every potential resource version passed as a parameter. + #### Important optimisations 1. Avoid DeepCopying of initial data

@@ -542,19 +580,9 @@ Then on the server side we: 4. otherwise, construct the final list and send back to a client. ### Test Plan -- unit tests for new code added to the watch cache were implemented. -- unit tests for new code added to the reflector were implemented. -- integration tests asserting fallback mechanism for reflector were added. +[X] I/we understand the owners of the involved components may require updates to +existing tests to make this code solid enough prior to committing the changes necessary +to implement this enhancement. + +##### Prerequisite testing updates + + + +##### Unit tests + + + +- k8s.io/apiserver/pkg/storage/cacher: 02/02/2023 - 74,7% +- k8s.io/client-go/tools/cache/reflector: 02/02/2023 - 88,6% + +##### Integration tests + +- For alpha, tests asserting fallback mechanism for reflector will be added. + +##### e2e tests + +- For alpha, tests exercising this feature will be added. + ### Graduation Criteria +#### Alpha + +- The Feature is implemented behind `ConsistentWatchList` feature flag +- Initial e2e tests completed and enabled +- Scalability/Performance tests confirm gains of this feature + +###### Can enabling / using this feature result in resource exhaustion of some node resources (PIDs, sockets, inodes, etc.)? + +On the contrary. It will decrease the memory usage required for master nodes. + ### Troubleshooting ###### Does enabling the feature change any default behavior? -No +Clients using client-go version 1.26 and up will use the aggregated +discovery endpoint rather than the unaggregated discovery endpoint. +This is handled automatically in client-go and clients should see less +requests to the api server when fetching discovery information. Client +versions older than 1.26 will continue to use the old unaggregated +discovery endpoint without any changes. ###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? @@ -690,7 +696,13 @@ and restarting the component. No other changes should be necessary to disable the feature. NOTE: Also set `disable-supported` to `true` or `false` in `kep.yaml`. ---> Yes, the feature may be disabled by reverting the feature flag. +--> + +Yes, the feature may be disabled on the apiserver by reverting the +feature flag. This will disable aggregated discovery for all clients. If there is a golang specific client side bug, the feature may also be +turned off in client-go via the +[WithLegacy()](https://github.com/kubernetes/kubernetes/blob/master/staging/src/k8s.io/client-go/discovery/discovery_client.go#L80) +toggle and this will require a recompile of the application. ###### What happens if we reenable the feature if it was previously rolled back? @@ -731,6 +743,18 @@ feature flags will be enabled on some API servers and not others during the rollout. Similarly, consider large clusters and how enablement/disablement will rollout across nodes. --> +During a rollout, some apiservers may support aggregated discovery and +some may not. It is recommended that clients request for both the +aggregated discovery document with a fallback to the unaggregated +discovery format. This can be achieved by setting the Accept header to +have a fallback to the default GVK of the `/apis` and `/api` endpoint. +For example, to request the aggregated discovery type and fallback to +the unaggregated discovery, the following header can be sent: `Accept: +application/json;as=APIGroupDiscoveryList;v=v2beta1;g=apidiscovery.k8s.io,application/json` + +This kind of fallback is already implemented in client-go and this +note is intended for non-golang clients. + ###### What specific metrics should inform a rollback? +n/a. The API introduced does not store data and state is recalculated on the upgrade, downgrade, upgrade cycle. No state is preserved between versions. + ###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? +By enabling aggregated discovery as the default, the new API is +slightly different from the unaggregated version. The +StorageVersionHash field is removed from resources in the aggregated +discovery API. The storage version migrator will have an additional +flag when initializing the discovery client to continue using the +unaggregated API. + ### Monitoring Requirements Kubernetes API (e.g., checking if there are objects with field X set) may be a last resort. Avoid logs or events for this purpose. --> +Operators can check whether an aggregated discovery request can be +made by sending a request to `apis` with +`application/json;as=APIGroupDiscoveryList;v=v2beta1;g=apidiscovery.k8s.io,application/json` +as the Accept header and looking at the the `Content-Type` response +header. A Content Type response header of `Content-Type: +application/json;g=apidiscovery.k8s.io;v=v2beta1;as=APIGroupDiscoveryList` +indicates that aggregated discovery is supported and a `Content-Type: +application/json` header indicates that aggregated discovery is not +supported. They can also check for the presence of aggregated +discovery related metrics: `aggregated_discovery_aggregation_count` + ###### How can someone using this feature know that it is working for their instance? - [x] Metrics - Metric name: `aggregator_discovery_aggregation_duration` - Components exposing the metric: `kube-server` - - This is a metric for exposing the time it took to aggregate all the + - This is a metric for exposing the time it took to aggregate all the api resources. + + - Metric name: `aggregator_discovery_aggregation_count` + - Components exposing the metric: `kube-server` + - This is a metric for the number of times that the discovery document has been aggregated. ###### Are there any missing metrics that would be useful to have to improve observability of this feature? -Yes. A metric for the regeneration count of the discovery document. `aggregator_discovery_aggregation_count` +No. ### Dependencies @@ -833,6 +881,12 @@ cluster-level services (e.g. DNS): - Impact of its degraded performance or high-error rates on the feature: --> +No, but if aggregated apiservers are present, the feature will attempt +to contact and aggregate the data published from the aggregated +apiserver on a set interval. If there is high error rate, stale data +may be returned because the latest data was not able to be fetched +from the aggregated apiserver. + ### Scalability +No. Enabling this feature should reduce the total number of API calls +for client discovery. Instead of clients sending a discovery request +to all group versions (`/apis//`), they will only need +to send a request to the aggregated endpoint to obtain all resources +that the cluster supports. + ###### Will enabling / using this feature result in introducing new API types? +Yes, but these API types are not persisted. + ###### Will enabling / using this feature result in any new calls to the cloud provider? +No. + ###### Will enabling / using this feature result in increasing size or count of the existing API objects? - Estimated amount of new objects: (e.g., new Object X for every existing Pod) --> +No. + ###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? +No. + ###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? +No. + ### Troubleshooting ###### What steps should be taken if SLOs are not being met to determine the problem? +The feature can be rolled back by setting the AggregatedDiscoveryEndpoint feature flag to false. + ## Implementation History ## Proposal @@ -118,6 +114,10 @@ This problem can be mitigated with a fresh build of kube-controller-manager with updated golang version, but it heavily relies on the go community to keep the time zone database up-to-date. +- Outdated time zone database on the system where kube-controller-manager is running + +Cluster administrator should always ensure their systems are up-to-date. + - Malicious user can create multiple CronJobs with different time zone which can actually trigger Jobs at the exact same time @@ -175,9 +175,9 @@ to implement this enhancement. ##### Unit tests -- `k8s.io/kubernetes/pkg/apis/batch/validation`: `2022-06-09` - `94.4%` -- `k8s.io/kubernetes/pkg/controller/cronjob`: `2022-06-09` - `50.8%` -- `k8s.io/kubernetes/pkg/registry/batch/cronjob`: `2022-06-09` - `61.8%` +- `k8s.io/kubernetes/pkg/apis/batch/validation`: `2023-01-18` - `96.0%` +- `k8s.io/kubernetes/pkg/controller/cronjob`: `2023-01-18` - `51.7%` +- `k8s.io/kubernetes/pkg/registry/batch/cronjob`: `2023-01-18` - `56.3%` ##### Integration tests @@ -185,7 +185,7 @@ None. ##### e2e tests -None. +- [CronJob should support timezone](https://github.com/kubernetes/kubernetes/blob/db4c64b1a987675fff7a234e8633f4fd01c69530/test/e2e/apps/cronjob.go#L301): https://storage.googleapis.com/k8s-triage/index.html?sig=apps&test=should%20support%20timezone ### Graduation Criteria @@ -203,38 +203,7 @@ None. #### GA -TBD - - +- Add a new condition when a cronjob controller encounters an invalid time zone. ### Upgrade / Downgrade Strategy @@ -429,6 +398,7 @@ lies. - *2022-01-14* - Initial KEP draft - *2022-06-09* - Updated KEP for beta promotion. +- *2023-01-18* - Updated KEP for stable promotion. ## Drawbacks diff --git a/keps/sig-apps/3140-TimeZone-support-in-CronJob/kep.yaml b/keps/sig-apps/3140-TimeZone-support-in-CronJob/kep.yaml index 9db242e20fdf..90d29535f9f8 100644 --- a/keps/sig-apps/3140-TimeZone-support-in-CronJob/kep.yaml +++ b/keps/sig-apps/3140-TimeZone-support-in-CronJob/kep.yaml @@ -18,12 +18,12 @@ see-also: replaces: # The target maturity stage in the current dev cycle for this KEP. -stage: beta +stage: stable # The most recent milestone for which work toward delivery of this KEP has been # done. This can be the current (upcoming) milestone, if it is being actively # worked on. -latest-milestone: "v1.25" +latest-milestone: "v1.27" # The milestone at which this feature was, or is targeted to be, at each stage. milestone: diff --git a/keps/sig-apps/3329-retriable-and-non-retriable-failures/README.md b/keps/sig-apps/3329-retriable-and-non-retriable-failures/README.md index 719d620a2b46..87a40386d145 100644 --- a/keps/sig-apps/3329-retriable-and-non-retriable-failures/README.md +++ b/keps/sig-apps/3329-retriable-and-non-retriable-failures/README.md @@ -230,7 +230,7 @@ thousands of nodes requires usage of pod restart policies in order to account for infrastructure failures. Currently, kubernetes Job API offers a way to account for infrastructure -failures by setting `.backoffLimit > 0`. However, this mechanism intructs the +failures by setting `.backoffLimit > 0`. However, this mechanism instructs the job controller to restart all failed pods - regardless of the root cause of the failures. Thus, in some scenarios this leads to unnecessary restarts of many pods, resulting in a waste of time and computational @@ -354,7 +354,7 @@ As a machine learning researcher, I run jobs comprising thousands of long-running pods on a cluster comprising thousands of nodes. The jobs often run at night or over weekend without any human monitoring. In order to account for random infrastructure failures we define `.backoffLimit: 6` for the job. -However, a signifficant portion of the failures happen due to bugs in code. +However, a significant portion of the failures happen due to bugs in code. Moreover, the failures may happen late during the program execution time. In such case, restarting such a pod results in wasting a lot of computational time. @@ -729,7 +729,7 @@ in different messages for pods. - Reproduction: Run kube-controller-manager with disabled taint-manager (with the flag `--enable-taint-manager=false`). Then, run a job with a long-running pod and disconnect the node -- Comments: handled by node lifcycle controller in: `controller/nodelifecycle/node_lifecycle_controller.go`. +- Comments: handled by node lifecycle controller in: `controller/nodelifecycle/node_lifecycle_controller.go`. However, the pod phase remains `Running`. - Pod status: - status: Unknown @@ -762,7 +762,7 @@ In Alpha, there is no support for Pod conditions for failures or disruptions ini For Beta we introduce handling of Pod failures initiated by Kubelet by adding the pod disruption condition (introduced in Alpha) in case of disruptions -initiated by kubetlet (see [Design details](#design-details)). +initiated by Kubelet (see [Design details](#design-details)). Kubelet can also evict a pod in some scenarios which are not covered with adding a pod failure condition: @@ -863,7 +863,7 @@ dies) between appending a pod condition and deleting the pod. In particular, scheduler can possibly decide to preempt a different pod the next time (or none). This would leave a pod with a condition that it was preempted, when it actually wasn't. This in turn -could lead to inproper handling of the pod by the job controller. +could lead to improper handling of the pod by the job controller. As a solution we implement a worker, part of the disruption controller, which clears the pod condition added if `DeletionTimestamp` is @@ -1218,7 +1218,7 @@ the pod failure does not match any of the specified rules, then default handling of failed pods applies. If we limit this feature to use `onExitCodes` only when `restartPolicy=Never` -(see: [limitting this feature](#limitting-this-feature)), then the rules using +(see: [limiting this feature](#limitting-this-feature)), then the rules using `onExitCodes` are evaluated only against the exit codes in the `state` field (under `terminated.exitCode`) of `pod.status.containerStatuses` and `pod.status.initContainerStatuses`. We may also need to check for the exit codes @@ -1279,9 +1279,9 @@ the following scenarios will be covered with unit tests: - handling of a pod failure, in accordance with the specified `spec.podFailurePolicy`, when the failure is associated with - a failed container with non-zero exit code, - - a dedicated Pod condition indicating termmination originated by a kubernetes component + - a dedicated Pod condition indicating termination originated by a kubernetes component - adding of the `DisruptionTarget` by Kubelet in case of: - - eviciton due to graceful node shutdown + - eviction due to graceful node shutdown - eviction due to node pressure -The following scenario will be covered with e2e tests: -- early job termination when a container fails with a non-retriable exit code +The following scenario are covered with e2e tests: +- [sig-apps#gce](https://testgrid.k8s.io/sig-apps#gce): + - Job Using a pod failure policy to not count some failures towards the backoffLimit Ignore DisruptionTarget condition + - Job Using a pod failure policy to not count some failures towards the backoffLimit Ignore exit code 137 + - Job should allow to use the pod failure policy on exit code to fail the job early + - Job should allow to use the pod failure policy to not count the failure towards the backoffLimit +- [sig-scheduling#gce-serial](https://testgrid.k8s.io/sig-scheduling#gce-serial): + - SchedulerPreemption [Serial] validates pod disruption condition is added to the preempted pod +- [sig-release-master-informing#gce-cos-master-serial](https://testgrid.k8s.io/sig-release-master-informing#gce-cos-master-serial): + - NoExecuteTaintManager Single Pod [Serial] pods evicted from tainted nodes have pod disruption condition + +The following scenarios are covered with node e2e tests +([sig-node-presubmits#pr-kubelet-gce-e2e-pod-disruption-conditions](https://testgrid.k8s.io/sig-node-presubmits#pr-kubelet-gce-e2e-pod-disruption-conditions) and +[sig-node-presubmits#pr-node-kubelet-serial-containerd](https://testgrid.k8s.io/sig-node-presubmits#pr-node-kubelet-serial-containerd)): + - GracefulNodeShutdown [Serial] [NodeFeature:GracefulNodeShutdown] [NodeFeature:GracefulNodeShutdownBasedOnPodPriority] graceful node shutdown when PodDisruptionConditions are enabled [NodeFeature:PodDisruptionConditions] should add the DisruptionTarget pod failure condition to the evicted pods + - PriorityPidEvictionOrdering [Slow] [Serial] [Disruptive][NodeFeature:Eviction] when we run containers that should cause PIDPressure; PodDisruptionConditions enabled [NodeFeature:PodDisruptionConditions] should eventually evict all of the correct pods More e2e test scenarios might be considered during implementation if practical. @@ -1439,7 +1453,7 @@ N/A An upgrade to a version which supports this feature should not require any additional configuration changes. In order to use this feature after an upgrade users will need to configure their Jobs by specifying `spec.podFailurePolicy`. The -only noticeable difference in behaviour, without specifying `spec.podFailurePolicy`, +only noticeable difference in behavior, without specifying `spec.podFailurePolicy`, is that Pods terminated by kubernetes components will have an additional condition appended to `status.conditions`. @@ -1654,7 +1668,7 @@ Manual test performed to simulate the upgrade->downgrade->upgrade scenario: - Scenario 2: - Create a job with a long running containers and `backoffLimit=0`. - Verify that the job continues after the node in uncordoned -1. Disable the feature gates. Verify that the above scenarios result in default behaviour: +1. Disable the feature gates. Verify that the above scenarios result in default behavior: - In scenario 1: the job restarts pods failed with exit code `42` - In scenario 2: the job is failed due to exceeding the `backoffLimit` as the failed pod failed during the draining 1. Re-enable the feature gates @@ -1953,7 +1967,7 @@ technics apply): is an increase of the Job controller processing time. - Inspect the Job controller's `job_pods_finished_total` metric for the to check if the numbers of pod failures handled by specific actions (counted - by the `failure_policy_action` label) agree with the expetations. + by the `failure_policy_action` label) agree with the expectations. For example, if a user configures job failure policy with `Ignore` action for the `DisruptionTarget` condition, then a node drain is expected to increase the metric for `failure_policy_action=Ignore`. @@ -1963,7 +1977,7 @@ technics apply): - 2022-06-23: Initial KEP merged - 2022-07-12: Preparatory PR "Refactor gc_controller to do not use the deletePod stub" merged -- 2022-07-14: Preparatory PR "efactor taint_manager to do not use getPod and getNode stubs" merged +- 2022-07-14: Preparatory PR "Refactor taint_manager to do not use getPod and getNode stubs" merged - 2022-07-20: Preparatory PR "Add integration test for podgc" merged - 2022-07-28: KEP updates merged - 2022-08-01: Additional KEP updates merged @@ -1972,7 +1986,7 @@ technics apply): - 2022-08-04: PR "Support handling of pod failures with respect to the configured rules" merged - 2022-09-09: Bugfix PR for test "Fix the TestRoundTripTypes by adding default to the fuzzer" merged - 2022-09-26: Prepared PR for KEP Beta update. Summary of the changes: - - propsal to extend kubelet to add the following pod conditions when evicting a pod (see [Design details](#design-details)): + - proposal to extend kubelet to add the following pod conditions when evicting a pod (see [Design details](#design-details)): - DisruptionTarget for evictions due graceful node shutdown, admission errors, node pressure or Pod admission errors - ResourceExhausted for evictions due to OOM killer and exceeding Pod's ephemeral-storage limits - extended the review of pod eviction scenarios by kubelet-initiated pod evictions: diff --git a/keps/sig-apps/3715-elastic-indexed-job/README.md b/keps/sig-apps/3715-elastic-indexed-job/README.md new file mode 100644 index 000000000000..cc51802e97c2 --- /dev/null +++ b/keps/sig-apps/3715-elastic-indexed-job/README.md @@ -0,0 +1,954 @@ + +# KEP-3715: Elastic Indexed Job + + + + + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [Goals](#goals) + - [Non-Goals](#non-goals) +- [Proposal](#proposal) + - [User Stories (Optional)](#user-stories-optional) + - [Story 1](#story-1) + - [Risks and Mitigations](#risks-and-mitigations) +- [Design Details](#design-details) + - [Test Plan](#test-plan) + - [Prerequisite testing updates](#prerequisite-testing-updates) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) + - [Graduation Criteria](#graduation-criteria) + - [Beta](#beta) + - [GA](#ga) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) + - [Feature Enablement and Rollback](#feature-enablement-and-rollback) + - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) + - [Monitoring Requirements](#monitoring-requirements) + - [Dependencies](#dependencies) + - [Scalability](#scalability) + - [Troubleshooting](#troubleshooting) +- [Implementation History](#implementation-history) +- [Alternatives](#alternatives) + - [Use StatefulSets](#use-statefulsets) + - [Make spec.completions fully mutable](#make-speccompletions-fully-mutable) + - [Allow spec.completions=nil for Indexed mode](#allow-speccompletionsnil-for-indexed-mode) + + +## Release Signoff Checklist + + + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +- [x] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [ ] (R) KEP approvers have approved the KEP status as `implementable` +- [x] (R) Design details are appropriately documented +- [x] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [ ] e2e Tests for all Beta API Operations (endpoints) + - [ ] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [ ] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [x] (R) Graduation criteria is in place + - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [ ] (R) Production readiness review completed +- [ ] (R) Production readiness review approved +- [ ] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + + + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + +Currently `spec.completions` is an immutable field in Job for both `Indexed` and `NonIndexed` modes. +This KEP proposes to allow mutating `spec.completions` for `Indexed` job iff `spec.completions` equals +to `spec.parallelism` before and after the update, meaning that `spec.completions` is mutable only +in tandem with `spec.parallelism`. + +## Motivation + +There are cases where a batch workload requires an autoscaled indexed job with stable +DNS pod names, for example MPI Horovord, Ray, PyTorch etc. This is currently not possible +because `spec.completions`, which controls the range of indexes in `Indexed` job, is immutable. +While such workloads could be modeled as a StatefulSet, the Job API is a better fit because it +offers batch-specific features such as allowing indexes to run to completion, and [pod and container failure handling](https://kubernetes.io/docs/concepts/workloads/controllers/job/#handling-pod-and-container-failures). + +In the above mentioned cases, there is no distinction between the concept of "how many completed +indexes do I need" (i.e., `spec.completions`) and the concept of "how many pods do I want running +at a time" (i.e., `spec.parallelism`). All indexes are expected to start at the same time, but they +can finish at different times. + +The above behavior can be modeled using an Indexed job with +- `spec.completions` equal to `spec.parallelism` +- mutable `spec.completions` and `spec.parallelsim` as long as they are mutated together. + + + +### Goals + +- Allow mutating `spec.completions` for `Indexed` job iff the updated value is equal to `spec.parallelism`. + + + +### Non-Goals + +- Change the existing behavior of `NonIndexed` mode. +- Change the existing behavior of `Indexed` mode for jobs that never mutate + `.spec.completions` and `.spec.parallelism` together. + + + +## Proposal + +The proposal is to allow mutating `spec.completions` for `Indexed` Job when equal to and updated +in tandem with `spec.parallelsim`. + +Success and failure semantics are not changed for jobs that never mutate `spec.completions`; +however, for ones that do, the semantics are changed in the following manner: + +Failures will always count. If `spec.completions` was scaled down, then previous pod failures +outside the new range will still count against the job's backoffLimit. Morever, the field `status.Failed` will not be +decremented if previously failed pods are now outside the range. However, `status.Succeeded` will be updated to reflect +the number of successful indexes within the range as defined below. + +In the case where an index successfully completes, and then the job is scaled down rendering the index +out of range, and then the job is scaled up again including back the index in the range, then the index +will be restarted. + + + + +### User Stories (Optional) + + + +#### Story 1 + +I have a batch workload that requires two sets of pods: a manager and a group of workers that can scale up or down. +The manager communicates with the workers to manage their load; examples of such workloads include distributed HPC +and districuted ML training. Examples of frameworks include Horovod with MPI, Spark and Ray. + +This workload can be modeled as two `Indexed` Jobs, one for the manager and one for the workers. A +headless service is created to set up stable hostnames for the worker pods. The workers job is +scaled up/down by updating `spec.completions` and `spec.parallelism` in tandem. + +The success semantics of these workloads are tied to the manager, not the workers. However, in +such workloads, when the job is finished the workers are either deleted directly (effectively scaled down to 0) +or they potentially exit on their own after communicating their final status to the manager who decides the final status +of the whole workload. + + + + +### Risks and Mitigations + +There is a concern that changing completion semantics on the fly can be subject to +race conditions with declaring the job finished. However, after a closer look, this +seems to not be an issue because the job controller uses Update when setting the +finished status on the job object, which is subject to object modified errors if the spec +changes at the same time. Moreover, `spec.completions` will be immutable once a job has a +finished condition. + + + +## Design Details + +The controller already counts the number of completed indexes within the range defined by `spec.completions` and +uses that to evaluate if the job completed successfully and to set the `status.Succeeded` count. This is not impacted +if `spec.completions` changes over time. Morever, on scale down, the controller also automatically removes any indexes +outside the range. + +As mentioned above, pod failures may have happened to indexes that are outside the range after `spec.completions` +is updated. Those failures will still count against the backoffLimit of the job and the field `status.Failed` will +not be decremented. + +The only needed change is to modify Job update validation in the kube-apiserver to allow updating an `Indexed` Job's +`spec.completions` if `spec.completions=spec.parallelism` in both the old and new instance of the Job object. + + + +### Test Plan + + + +[x] I/we understand the owners of the involved components may require updates to +existing tests to make this code solid enough prior to committing the changes necessary +to implement this enhancement. + +##### Prerequisite testing updates + + + +##### Unit tests + + + + + +- `k8s.io/kubernetes/pkg/controller/job`: `1/10/2023` - `90%` +- `k8s.io/kubernetes/pkg/apis/batch/validation`: `1/10/2023` - `96%` + +##### Integration tests + +For an `Indexed` Job test that: +- `spec.completions` is only mutable if equal to `spec.parallelism` +- When scaled down, higher indexes are removed first. +- When scaled down to zero, the job is marked as finished successfully. +- When scaled up, the range is extended and new higher indexes are created. +- Success, failure and completion semantics are as discussed above. + + + + + +##### e2e tests + +Coverage is achieved via integration tests. But we will add one e2e test: +- Job is allowed to scale down, then up, then successfully finish when all pods in the new range exit with success + + + + + +### Graduation Criteria + +Since the change is only relaxing validation that doesn't require multiple releases and +requires no changes to the job controller, we will start the feature in beta and enabled +by default since we will not get a lot of value from an alpha release. Just like we +successfully did for [mutable scheduling directives](https://github.com/kubernetes/enhancements/issues/2926). + +Note that if tests reveals a required change that invalidates the above understanding, then we will +revert and start in Alpha. + +#### Beta +- Validation logic in place to allow mutating `spec.completions` in tandem with `.spec.parallelism`. + +#### GA +- Fix any potentially reported bugs. + + + + +### Upgrade / Downgrade Strategy + +N/A, when the feature is enabled, mutating completions will be allowed, when disabled (via +a downgrade or the feature flag) mutating completions will be rejected. + + + +### Version Skew Strategy + +N/A. This feature doesn't impact nodes. + + + +## Production Readiness Review Questionnaire + + + +### Feature Enablement and Rollback + +The feature can be safely rolled back. + + + +###### How can this feature be enabled / disabled in a live cluster? + + + +- [x] Feature gate (also fill in values in `kep.yaml`) + - Feature gate name: ElasticIndexedJob + - Components depending on the feature gate: kube-apiserver +- [ ] Other + - Describe the mechanism: + - Will enabling / disabling the feature require downtime of the control + plane? + - Will enabling / disabling the feature require downtime or reprovisioning + of a node? (Do not assume `Dynamic Kubelet Config` feature is enabled). + +###### Does enabling the feature change any default behavior? + +No. + + + + +###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? +Yes. If disabled, kube-apiserver will reject mutating requests to `spec.completions` for `Indexed` jobs. +For Jobs that were previously mutated, then the only implication is that future mutating requests will be +rejected. + + + +###### What happens if we reenable the feature if it was previously rolled back? + +The api-server will accept mutation requests to `spec.completions` for `Indexed` job. + +###### Are there any tests for feature enablement/disablement? + +N/A + + + +### Rollout, Upgrade and Rollback Planning + + + +###### How can a rollout or rollback fail? Can it impact already running workloads? + +The change is opt-in, it doesn't impact already running workloads. + + + +###### What specific metrics should inform a rollback? + +N/A + + + +###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? + +It will be tested manually prior to beta launch. + + + +###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? + +No. + + + +### Monitoring Requirements + + + +###### How can an operator determine if the feature is in use by workloads? + +Attempt to mutate `spec.completions` for `Indexed` job. + + + +###### How can someone using this feature know that it is working for their instance? + + + + +- [ ] Events + - Event Reason: +- [ ] API .status + - Condition name: + - Other field: +- [x] Other (treat as last resort) + - Details: `spec.completions` for `Indexed` jobs are successfully mutated according to the semantics described above. + +###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? + +N/A + + + +###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? + + + +- [X] Metrics + - Metric name: apiserver_request_total[resource=job, group=batch, verb=UPDATE, code=400] + - [Optional] Aggregation method: + - Components exposing the metric: +- [ ] Other (treat as last resort) + - Details: + +###### Are there any missing metrics that would be useful to have to improve observability of this feature? + + + +### Dependencies + + + +###### Does this feature depend on any specific services running in the cluster? + +No. + + + +### Scalability + + + +###### Will enabling / using this feature result in any new API calls? + +Not on of itself. + + + +###### Will enabling / using this feature result in introducing new API types? + +No. + + + +###### Will enabling / using this feature result in any new calls to the cloud provider? + +No. + + + +###### Will enabling / using this feature result in increasing size or count of the existing API objects? + +No. + + + +###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? + +No. + + + +###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? + +No. + + + +### Troubleshooting + + + +###### How does this feature react if the API server and/or etcd is unavailable? + +Create requests will be rejected. + +###### What are other known failure modes? + +In a multi-master setup, when the cluster has skewed apiservers, some create requests +may get accepted and some may get rejected. + +Detection: failed update requests; metric that an operator can monitor is apiserver_request_total[resource=job, group=batch, verb=UPDATE, code=403] +Diagnostics: apiserver logs indicating rejected/accepted job update requests +Testing: no testing, this is a transient state until all instances are on the same k8s version. + + + +###### What steps should be taken if SLOs are not being met to determine the problem? + +N/A. + +## Implementation History + +- 2023-01-10: Proposed KEP. + + + + + +## Alternatives + +### Use StatefulSets +Jobs have different success and retry semantics compared to StatefulSet that makes it better suited +for batch workloads. + + +### Make spec.completions fully mutable +Making `spec.completions` fully mutable has no clear use case, and it is in theory a larger scope change. +Scaling a job is not related to how many pods I want completed, it is more about how many pods I want active, +and so tying it to parallelism makes sense. + +### Allow spec.completions=nil for Indexed mode +`spec.completions=nil` is a special case that currently allowed only for `NonIndexed` mode. +The success and completions semantics where designed to address the [work queue pattern](https://kubernetes.io/docs/tasks/job/fine-parallel-processing-work-queue/); +specifically, a job is marked as successful if at least one pod exits successfully, and all +remaining pods complete and the number of failures do not exceed `spec.backoffLimit`. +Currently `spec.completions=nil` is not allowed for `Indexed` mode, and so an alternative is to allow it and use `spec.parallelism` to +define the range of indexes. However, this has the following drawbacks: +- the success semantics are not compatible with the use cases we are targeting +- falling back to `spec.parallelism` to define the range of indexes changes how job completion criteria works for `Indexed` job. +- Relaxing validation to allow for a nil value may not be a safe change to API clients that expected completions to not be nil. + +While we could change the success criteria to work better for our use case, and we could do the change under a new `spec.completionMode` +to ensure that the change is safe to clients, making `spec.completions` mutable seems like the clearer API. + + + + + diff --git a/keps/sig-apps/3715-elastic-indexed-job/kep.yaml b/keps/sig-apps/3715-elastic-indexed-job/kep.yaml new file mode 100644 index 000000000000..b7fe39bcb058 --- /dev/null +++ b/keps/sig-apps/3715-elastic-indexed-job/kep.yaml @@ -0,0 +1,38 @@ +title: Elastic Indexed Job +kep-number: 3715 +authors: + - "@ahg-g" +owning-sig: sig-apps +status: implementable +creation-date: 2023-01-10 +reviewers: + - "@alculquicondor" + - "@liggitt" +approvers: + - "@soltysh" + +see-also: + - "/keps/sig-apps/2214-indexed-job" + +# The target maturity stage in the current dev cycle for this KEP. +stage: beta + +# The most recent milestone for which work toward delivery of this KEP has been +# done. This can be the current (upcoming) milestone, if it is being actively +# worked on. +latest-milestone: "v1.27" + +# The milestone at which this feature was, or is targeted to be, at each stage. +milestone: + beta: "1.27" + stable: "v1.28" + +feature-gates: + - name: ElasticIndexedJob + components: + - kube-apiserver +disable-supported: true + +# The following PRR answers are required at beta release +metrics: + diff --git a/keps/sig-auth/3257-trust-anchor-sets/README.md b/keps/sig-auth/3257-trust-anchor-sets/README.md index 0913484d6273..0b8611daebb0 100644 --- a/keps/sig-auth/3257-trust-anchor-sets/README.md +++ b/keps/sig-auth/3257-trust-anchor-sets/README.md @@ -319,11 +319,11 @@ that happens. ### Risks and Mitigations -Scalability: In the limit, ClusterTrustBundle objects will be used by -every pod in the cluster, which will require watches from all Kubelets. When -they are updated, workloads will need to receive the updates fairly quickly -(within 5 minutes across the whole cluster), to accommodate emergency rotation -of trust anchors for a private CA. +Scalability: In the limit, ClusterTrustBundle objects will be used by every pod +in the cluster, which will require one ClusterTrustBundle watch from each +Kubelet in the cluster. When they are updated, workloads will need to receive +the updates fairly quickly (within 5 minutes across the whole cluster), to +accommodate emergency rotation of trust anchors for a private CA. Security: Should individual trust anchor set entries designate an OSCP endpoint to check for certificate revociation? Or should we require the URL to be @@ -853,13 +853,8 @@ and creating new ones, as well as about cluster-level services (e.g. DNS): Yes. -A pod that uses a pemTrustAnchors projected volume will result in an additional -watch on the named ClusterTrustBundle object orginating from Kubelet. This -watch will be low-throughput. - -Similar to the existing kubelet watches on secrets and configmaps, special care -will need to be taken to ensure that kube-apiserver can efficiently choose which -single-ClusterTrustBundle watches to update for a given etcd update. +Kubelet will open a watch on ClusterTrustBundle objects. This watch will be +low-throughput. ###### Will enabling / using this feature result in introducing new API types? @@ -894,12 +889,11 @@ arbitrary startup latency for my pod and cause an SLO breach.) Use of the ClusterTrustBundle objects by themselves should have negligible resource impact. -Use of the pemTrustAnchors projected volume type will result in an additional -watch on kube-apiserver for each unique (Node, ClusterTrustBundle) tuple in the -cluster. This is similar to existing kubelet support for projecting configmaps -and secrets into a pod. Just like for secrets and configmaps, we will need to -make sure that kube-apiserver has the indexes it needs to efficiently map etcd -watch events to Kubernetes watch channels. +When the feature gate is enabled, Kubelet will open a watch on all +ClusterTrustBundle objects in the cluster. We expect there to be a low number +of ClusterTrustBundle objects that does not scale with the number of nodes or +workloads in the cluster, although individual ClusterTrustBundle objects could +be large. ### Troubleshooting diff --git a/keps/sig-auth/3257-trust-anchor-sets/kep.yaml b/keps/sig-auth/3257-trust-anchor-sets/kep.yaml index 9d24d2261bfb..e4fb03991332 100644 --- a/keps/sig-auth/3257-trust-anchor-sets/kep.yaml +++ b/keps/sig-auth/3257-trust-anchor-sets/kep.yaml @@ -8,9 +8,11 @@ participating-sigs: status: implementable creation-date: 2022-02-16 reviewers: - - TBD + - liggitt + - enj approvers: - - TBD + - liggitt + - enj ##### WARNING !!! ###### # prr-approvers has been moved to its own location @@ -25,11 +27,11 @@ stage: alpha # The most recent milestone for which work toward delivery of this KEP has been # done. This can be the current (upcoming) milestone, if it is being actively # worked on. -latest-milestone: "v1.26" +latest-milestone: "v1.27" # The milestone at which this feature was, or is targeted to be, at each stage. milestone: - alpha: "v1.26" + alpha: "v1.27" beta: "" stable: "" diff --git a/keps/sig-auth/3325-self-subject-attributes-review-api/README.md b/keps/sig-auth/3325-self-subject-attributes-review-api/README.md index da707967e3c4..3e3892e12a8c 100644 --- a/keps/sig-auth/3325-self-subject-attributes-review-api/README.md +++ b/keps/sig-auth/3325-self-subject-attributes-review-api/README.md @@ -243,16 +243,33 @@ We expect no non-infra related flakes in the last month as a GA graduation crite #### Alpha +- `SelfSubjectReview` endpoint is introduced in `authentication.k8s.io/v1alpha1` API - Feature implemented behind a feature flag - Initial unit and integration tests completed and enabled +- Corresponding kubectl command implemented: `kubectl alpha auth whoami` #### Beta - Gather feedback from users +- `SelfSubjectReview` is promoted to `authentication.k8s.io/v1beta1` API (Beta APIs are not enabled by default, [see](https://github.com/kubernetes/enhancements/blob/master/keps/sig-architecture/3136-beta-apis-off-by-default/README.md)). +- Promote feature gate to Beta and make it enabled by default +- Unit tests coverage improved +- `kubectl alpha auth whoami` command uses `authentication.k8s.io/v1beta1` API, falls back to `authentication.k8s.io/v1alpha1` API +- Fix [documentation](https://kubernetes.io/docs/reference/access-authn-authz/authentication/#self-subject-review): + - Change API version + - Rewrite conditions to enable the feature #### GA -- Corresponding kubectl command implemented +- `SelfSubjectReview` is promoted to `authentication.k8s.io/v1` API and enable by default +- Promote feature gate to Stable +- `kubectl alpha auth whoami` replaced with `kubectl auth whoami` +- `kubectl auth whoami` command prefers `authentication.k8s.io/v1` API over `authentication.k8s.io/v1beta1` and `authentication.k8s.io/v1alpha1` +- More integration and e2e tests cases +- Fix [documentation](https://kubernetes.io/docs/reference/access-authn-authz/authentication/#self-subject-review): + - Change API version + - Rewrite conditions to enable the feature + - Change kubectl command NOTE: Should not be a part of [conformance tests](https://git.k8s.io/community/contributors/devel/sig-architecture/conformance-tests.md). The fact that a user possesses a token does not necessarily imply the power to know to whom that token belongs. @@ -263,22 +280,9 @@ The fact that a user possesses a token does not necessarily imply the power to k ###### How can this feature be enabled / disabled in a live cluster? - - -- Feature gate +- [X] Feature gate (also fill in values in `kep.yaml`) - Feature gate name: `APISelfSubjectReview` - - Components depending on the feature gate: - - kube-apiserver - -```go -FeatureSpec{ - Default: false, - LockToDefault: false, - PreRelease: featuregate.Alpha, -} -``` + - Components depending on the feature gate: `kube-apiserver` ###### Does enabling the feature change any default behavior? diff --git a/keps/sig-auth/3325-self-subject-attributes-review-api/kep.yaml b/keps/sig-auth/3325-self-subject-attributes-review-api/kep.yaml index 5a40f31de61b..303aff5f4e54 100755 --- a/keps/sig-auth/3325-self-subject-attributes-review-api/kep.yaml +++ b/keps/sig-auth/3325-self-subject-attributes-review-api/kep.yaml @@ -10,12 +10,14 @@ reviewers: - "@enj" - "@deads2k" - "@mikedanese" +- "@liggitt" approvers: -- TBD +- "@deads2k" +- "@liggitt" creation-date: "2022-05-30" status: implementable -stage: alpha -latest-milestone: "v1.26" +stage: beta +latest-milestone: "v1.27" milestone: alpha: "v1.26" beta: "v1.27" diff --git a/keps/sig-auth/3766-referencegrant/README.md b/keps/sig-auth/3766-referencegrant/README.md new file mode 100644 index 000000000000..587751c04060 --- /dev/null +++ b/keps/sig-auth/3766-referencegrant/README.md @@ -0,0 +1,941 @@ +# KEP-3766: Move ReferenceGrant to SIG Auth API Group + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [Goals](#goals) + - [Non-Goals](#non-goals) +- [Proposal](#proposal) + - [Risks and Mitigations](#risks-and-mitigations) + - [No Default Implementation](#no-default-implementation) + - [Potential for Variations Among Implementations](#potential-for-variations-among-implementations) + - [Cross-Namespace References may Weaken Namespace Boundaries](#cross-namespace-references-may-weaken-namespace-boundaries) +- [Design Details](#design-details) + - [General Notes](#general-notes) + - [ReferenceGrant is half of a handshake](#-is-half-of-a-handshake) + - [ReferenceGrant authors must have sufficient access](#referencegrant-authors-must-have-sufficient-access) + - [Resource vs Kind](#-vs-) + - [Revocation behavior](#revocation-behavior) + - [Example Usage](#example-usage) + - [Gateway API Gateway Referencing Secret](#gateway-api-gateway-referencing-secret) + - [Gateway API HTTPRoute Referencing Service](#gateway-api-httproute-referencing-service) + - [PersistentVolumeClaim using cross namespace data source](#persistentvolumeclaim-using-cross-namespace-data-source) + - [API Spec](#api-spec) + - [Outstanding questions and clarifications](#outstanding-questions-and-clarifications) + - [Test Plan](#test-plan) + - [Prerequisite testing updates](#prerequisite-testing-updates) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) + - [Graduation Criteria](#graduation-criteria) + - [Beta](#beta) + - [GA](#ga) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Open Questions](#open-questions) + - [Do We Need Verbs?](#do-we-need-verbs) + - [Do We Need Any or Wildcard Selectors?](#do-we-need-any-or-wildcard-selectors) + - [Do We Need Label Selectors?](#do-we-need-label-selectors) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) + - [Feature Enablement and Rollback](#feature-enablement-and-rollback) + - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) + - [Monitoring Requirements](#monitoring-requirements) + - [Dependencies](#dependencies) + - [Scalability](#scalability) + - [Troubleshooting](#troubleshooting) +- [Implementation History](#implementation-history) +- [Drawbacks](#drawbacks) +- [Alternatives](#alternatives) + + +## Release Signoff Checklist + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +- [ ] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [ ] (R) KEP approvers have approved the KEP status as `implementable` +- [ ] (R) Design details are appropriately documented +- [ ] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [ ] e2e Tests for all Beta API Operations (endpoints) + - [ ] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [ ] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [ ] (R) Graduation criteria is in place + - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [ ] (R) Production readiness review completed +- [ ] (R) Production readiness review approved +- [ ] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + +[ReferenceGrant](https://gateway-api.sigs.k8s.io/api-types/referencegrant/) was +developed by the [Gateway API subproject](https://gateway-api.sigs.k8s.io/) to +enable certain object references to cross namespaces. More recently, it has also +been [used by +sig-storage](https://kubernetes.io/blog/2023/01/02/cross-namespace-data-sources-alpha/) +to enable cross-namespace data sources. + +This KEP proposes moving ReferenceGrant from its current +`gateway.networking.k8s.io` API group into the `authorization.k8s.io` API +group. + +## Motivation + +Any project that wants to enable cross-namespace references currently has to choose +between introducing a dependency on Gateway API's ReferenceGrant or creating a +new API that would be partially redundant (leading to confusion for users). + +Recent interest between SIGs has made it clear that ReferenceGrant is wanted for use +cases other than Gateway API. We would like to move ReferenceGrant to a neutral home +(ideally, under SIG Auth) in order to make it the canonical API for managing references +across namespaces. + +### Goals + +* Move ReferenceGrant to an API Group that SIG Auth manages +* Clearly define how ReferenceGrant should be used, including both current use + cases and guidance for future use cases +* Implement a library to ensure that ReferenceGrant is implemented consistently + by all controllers + +### Non-Goals + +* Develop an authorizer that will automatically implement ReferenceGrant for all + use cases. (It would be impossible to represent concepts like "all namespaces" + or label selectors that have become important for this KEP). + +## Proposal + +Move the existing ReferenceGrant resource into a new +`authorization.k8s.io` API group, defined within the Kubernetes code base +as part of the 1.27 release. + +We will take this opportunity to clarify and update the API after SIG Auth +feedback. This resource will start with v1alpha1 as the API version. + + +### Risks and Mitigations + +#### No Default Implementation +Similar to the Ingress and Gateway APIs, this API will be dependent on +implementations by controllers that are not included by default in Kubernetes. +This could lead to confusion for users. We'll need to rely heavily on +documentation for this feature, tracking all uses of official Kubernetes APIs +that support ReferenceGrant in a central place. + +#### Potential for Variations Among Implementations +Because this relies on each individual controller to implement the logic, +it is possible that implementations may become inconsistent. To avoid that, +we'll provide a standard library for implementing ReferenceGrant. We'll +also strongly recommend that every API that relies on ReferenceGrant +includes robust conformance tests covering this functionality. Existing +Gateway API conformance tests can serve as a model for this. + +#### Cross-Namespace References may Weaken Namespace Boundaries +Although we believe that the handshake required for cross-namespace references +with ReferenceGrant ensures these references will be safe, it does potentially +weaken existing namespace boundaries. We believe ReferenceGrant will have a net +benefit on the ecosystem as it will allow workloads, secrets, and configuration +to be deployed in separate namespaces that more clearly match up with desired +authorization. + +## Design Details + +### General Notes + +#### `ReferenceGrant` is half of a handshake + +When thinking about ReferenceGrant, it is important to remember that it does not +do anything by itself. It *Grants* the *possibility* of making a *Reference* +across namespaces. It's intended that _another object_ (that is, the From object) +complete the handshake by creating a reference to the referent object (the To +object). + +#### ReferenceGrant authors must have sufficient access + +Anyone creating or updating a ReferenceGrant MUST have read access to the resources +they are providing access to. If that authorization check fails, the update or +create action will also fail. + +<<[UNRESOLVED Do we need checks beyond read access? ]>> +Previous Discussion: https://github.com/kubernetes/enhancements/pull/3767#discussion_r1084528657 + +Comment that started that thread: + +does anything ensure the user creating the ReferenceGrant has permissions (read? +write?) on the object they are granting access to? Translating the existing +ReferenceGrant into an authz check means translating from Kind to Resource + +since this is extending "half of a handshake", it seems important to ensure the +actor extending the handshake actually has permission to do so + +<<[/UNRESOLVED]>> + +#### `Resource` vs `Kind` + +When creating a metaresource (that is, a resource that targets other resources) +like ReferenceGrant, it's important to consider if the metaresource uses the more +common `Kind` or the more correct `Resource`. + +In the original Gateway API implementation, we chose to use `Kind` rather than +`Resource`, mainly to improve the user experience. That is, it's easier users +to take the value from the `kind` field at the top of the YAML they are already +using, and put it straight into these fields, rather than needing to do a +kind-resource lookup for every user's interaction with the API. @robscott even +ended up making https://github.com/kubernetes/community/pull/5973 to clarify +the API conventions. + +However, in discussion on this KEP, it's clear that the more generic nature of +_this_ API requires the additional specificity that `Resource` provides. + +The Gateway API ReferenceGrant looked like this: +```yaml +apiVersion: gateway.networking.k8s.io/v1beta1 +kind: ReferenceGrant +metadata: + name: allow-gateways + namespace: bar +spec: + from: + # Note that in Gateway API, Group is currently defaulted + # to this, which means you to explicitly set the group to + # the empty string for Core resources. We should definitely + # change this. + - group: "gateway.networking.kubernetes.io" + kind: Gateway + namespace: foo + to: + - group: "" + kind: Secret +``` + +The new version will look like this instead: +```yaml +apiVersion: authorization.k8s.io/v1alpha1 +kind: ReferenceGrant +metadata: + name: allow-gateways + namespace: bar +spec: + from: + # Assuming that we leave the default for Group to the empty + # string, so that Core objects don't need additional config. + - group: "gateway.networking.kubernetes.io" + resource: gateways + namespace: foo + to: + - group: "" + resource: secrets + +``` + +The new version communicates the scope more clearly because `group`+`resource` +is unambiguous and corresponds to exactly one set of objects on the API Server. + +This change also leaves room for an enhancement. Whether we have an in-tree or +CRD implementation, we can rely on the exact matching that the plural resource +name gives us, and [warn](https://kubernetes.io/blog/2020/09/03/warnings/) if +either side of the grant is for an API that's not served by this cluster. + +#### Revocation behavior + +Unfortunately, there's no way to be specific about what happens when a +ReferenceGrant is deleted in every possible case - the revocation behavior is +dependent on what access is being granted (and revoked). With that said, we +expect the following guidelines to be rules to apply to ALL implementations of +the API: + +* Deletion of a ReferenceGrant means the granted access is revoked. +* ReferenceGrant controllers must remove any configuration generated by the + granted access as soon as possible (eventual consistence permitting). +* Some actions that have already been enabled by the ReferenceGrant (such as + forwarding requests or persisting data) cannot be undone, but no future + actions should be allowed. + +The examples below include information about what happens when the ReferenceGrant +is removed as data points. + +### Example Usage + +#### Gateway API Gateway Referencing Secret + +In this example (from the Gateway API docs), we have a Gateway in the +`gateway-api-example-ns1` namespace, referencing a Secret in the +`gateway-api-example-ns2` namespace. The following ReferenceGrant allows this: + +```yaml +apiVersion: gateway.networking.k8s.io/v1beta1 +kind: Gateway +metadata: + name: cross-namespace-tls-gateway + namespace: gateway-api-example-ns1 +spec: + gatewayClassName: acme-lb + listeners: + - name: https + protocol: HTTPS + port: 443 + hostname: "*.example.com" + tls: + # There's a Kind/Resource mismatch here, which sucks, but it is not + # easily fixable, since Gateway is already a beta, close to GA + # object. + certificateRefs: + - kind: Secret + group: "" + name: wildcard-example-com-cert + namespace: gateway-api-example-ns2 +--- +apiVersion: authorization.k8s.io/v1alpha1 +kind: ReferenceGrant +metadata: + name: allow-ns1-gateways-to-ref-secrets + namespace: gateway-api-example-ns2 +spec: + from: + - group: gateway.networking.k8s.io + resource: gateways + namespace: gateway-api-example-ns1 + to: + - group: "" + resource: secrets +``` + +For Gateway TLS references, if this ReferenceGrant is deleted (revoking, +the grant), then the Listener will become invalid, and the configuration +will be removed as soon as possible (eventual consistency permitting). + +#### Gateway API HTTPRoute Referencing Service + +In this example, a HTTPRoute in the `baz` namespace is directing traffic +to a Service backend in the `quux` namespace. + +```yaml +apiVersion: gateway.networking.k8s.io/v1beta1 +kind: HTTPRoute +metadata: + name: quuxapp + namespace: baz +spec: + parentRefs: + - name: example-gateway + sectionName: https + hostnames: + - quux.example.com + rules: + - matches: + - path: + type: PathPrefix + value: / + # BackendRefs are Services by default. + backendRefs: + - name: quuxapp + namespace: quux + port: 80 +--- +apiVersion: authorization.k8s.io/v1alpha1 +kind: ReferenceGrant +metadata: + name: allow-baz-httproutes + namespace: quux +spec: + from: + - group: gateway.networking.k8s.io + resource: httproutes + namespace: baz + to: + - group: "" + resource: services +``` + +For HTTPRoute objects referencing a backend in another namespace, if the +ReferenceGrant is deleted, the backend will become invalid (since the target +can't be found). If there was more than one backend, then the valid parts of the +HTTPRoute's config would persist in the data plane. + +But in this case, the cross-namespace reference is the _only_ backend, so the +removal of the ReferenceGrant will also result in the removal of the HTTPRoute's +config from the data plane. + +#### PersistentVolumeClaim using cross namespace data source + +This example is taken from https://kubernetes.io/blog/2023/01/02/cross-namespace-data-sources-alpha/ +and updated to use the proposed new spec. + +It allows the PersistentVolumeClaim in the `dev` namespace to use a volume +snapshot from the `prod` namespace as its data source. + +```yaml +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: example-pvc + namespace: dev +spec: + storageClassName: example + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 1Gi + dataSourceRef: + apiGroup: snapshot.storage.k8s.io + kind: VolumeSnapshot + name: new-snapshot-demo + namespace: prod + volumeMode: Filesystem +--- +apiVersion: authorization.k8s.io/v1alpha1 +kind: ReferenceGrant +metadata: + name: allow-prod-pvc + namespace: prod +spec: + from: + - resource: persistentvolumeclaims + namespace: dev + to: + - group: snapshot.storage.k8s.io + resource: volumesnapshots + name: new-snapshot-demo +``` + +When a ReferenceGrant is deleted, any existing volumes created from the +cross-namespace datasource will still persist, but new volumes will be +rejected". + +### API Spec + +```golang +// ReferenceGrant identifies kinds of resources in other namespaces that are +// trusted to reference the specified kinds of resources in the same namespace +// as the policy. +// +// Each ReferenceGrant can be used to represent a unique trust relationship. +// Additional ReferenceGrants can be used to add to the set of trusted +// sources of inbound references for the namespace they are defined within. +// +// ReferenceGrant is a form of runtime verification allowing users to assert +// which cross-namespace object references are permitted. Implementations that +// support ReferenceGrant MUST NOT permit cross-namespace references which have +// no grant, and MUST respond to the removal of a grant by revoking the access +// that the grant allowed. +// +// Implementation of ReferenceGrant is eventually consistent, dependent on +// watch events being received from the Kubernetes API. Although some processing +// delay is inevitable, any updates that could result in revocation of access MUST +// be considered high priority and handled as quickly as possible. +// +// Implementations of ReferenceGrant MUST treat all of the following scenarios +// as equivalent: +// +// * A reference to a Namespace that doesn't exist +// * A reference to a Namespace that exists and a Resource that doesn't exist +// * A reference to Namespace and Resource that exists but a ReferenceGrant +// allowing the reference does not exist +// +// If any of the above occur, a generic error message such as "RefNotPermitted" +// should be communicated, likely via status on the referring resource. +// +// Support: Core +type ReferenceGrant struct { + metav1.TypeMeta `json:",inline"` + metav1.ObjectMeta `json:"metadata,omitempty"` + + // Spec defines the desired state of ReferenceGrant. + Spec ReferenceGrantSpec `json:"spec,omitempty"` + + // Note that `Status` sub-resource has been excluded at the + // moment as it was difficult to work out the design. + // A `Status` sub-resource may be added in the future. +} + +// +kubebuilder:object:root=true +// ReferenceGrantList contains a list of ReferenceGrant. +type ReferenceGrantList struct { + metav1.TypeMeta `json:",inline"` + metav1.ListMeta `json:"metadata,omitempty"` + Items []ReferenceGrant `json:"items"` +} + +// ReferenceGrantSpec identifies a cross namespace relationship that is trusted +// for Gateway API. +type ReferenceGrantSpec struct { + // From describes the trusted namespaces and kinds that can reference the + // resources described in "To". Each entry in this list MUST be considered + // to be an additional place that references can be valid from, or to put + // this another way, entries MUST be combined using OR. + // + // +kubebuilder:validation:MinItems=1 + // +kubebuilder:validation:MaxItems=16 + From []ReferenceGrantFrom `json:"from"` + + // To describes the resources in this namespace that may be referenced by + // the resources described in "From". Each entry in this list MUST be + // considered to be an additional set of objects that references can be + // valid to, or to put this another way, entries MUST be combined using OR. + // + // +kubebuilder:validation:MinItems=1 + // +kubebuilder:validation:MaxItems=16 + To []ReferenceGrantTo `json:"to"` +} + +``` +<<[UNRESOLVED Are "To" and "From" the right field names? ]>> +Previous Discussion: https://github.com/kubernetes/enhancements/pull/3767#discussion_r1084671720 + +Comments from @thockin: + +I would not argue for subject/object - that's confusing, and I love to take +analogies too far. + +NetPol uses To/From but only for actual communications, and that still has been +critiqued as perhaps "too cute". + +Subject/From isn't too bad, but not as symmetric. Subject/Referrer is correct +but decidedly uncute. Subject/Origin? + +I hold opinions from an API review POV, but I'd like sig-auth to own the +decision :) + +For reference, there was an [earlier +discussion](https://groups.google.com/g/kubernetes-api-reviewers/c/ldmrXXQC4G4) +on the kubernetes-api-reviewers mailing list that's also relevant to this. +<<[/UNRESOLVED]>> + +```go + +// ReferenceGrantFrom describes trusted namespaces and kinds. +type ReferenceGrantFrom struct { + // Group is the group of the referent. + // When empty, the Kubernetes core API group is inferred. + Group Group `json:"group"` + + // Resource is the resource of the referent. + Resource string `json:"resource"` + + // Namespace is the namespace of the referent. + Namespace string `json:"namespace"` +} + +// ReferenceGrantTo describes what Kinds are allowed as targets of the +// references. +type ReferenceGrantTo struct { + // Group is the group of the referent. + // When empty, the Kubernetes core API group is inferred. + Group string `json:"group"` + + // Resource is the resource of the referent. + Resource string `json:"resource"` + + // Name is the name of the referent. When unspecified, this policy + // refers to all resources of the specified Group and Kind in the local + // namespace. + // + // +optional + Name *string `json:"name,omitempty"` +} +``` + +### Outstanding questions and clarifications + +This section lists some of the outstanding questions people have had about +ReferenceGrant, and other items that we'll be clarifying in the godoc and other +documentation as part of the transition to the new API group, along with any +other changes we need to make that aren't already reflected in this document. + +Also note that we don't consider any of these blockers for the general _idea_ of +moving ReferenceGrant to the new API group, just notes to save discussion time. + +* Clarify that an implementation is required to reconcile ReferenceGrant for + specific `To` Kinds. +* Corollary for future work, define how controllers interact. Is it a problem if + multiple controllers consume the same ReferenceGrant? +* Status design is still pending, but it's currently expected that controllers + will indicate status on the _referring_ resources, not on ReferenceGrant itself. +<<[UNRESOLVED do we need status? ]>> +Original Thread: https://github.com/kubernetes/enhancements/pull/3767#discussion_r1084670421 + +We want to be able to represent the following, in descending order of +importance: + +1. Communicate that the ReferenceGrant is actively being used +2. Communicate which controllers are using this ReferenceGrant +3. Communicate how many times it's been used with sufficient granularity that I + can see the effects of my changes (if I remove this reference, am I removing + a dependency on this ReferenceGrant?) + +We could introduce a status structure that allowed each implementing controller +to write 1 entry: + +```yaml +status: + referencesAllowed: + - controllerName: gateway.example.com + numReferences: 1 +``` + +@thockin responded with: + +If we think that the cardinality of controllers is low, we can put it in status. +The downsides are: + +1. Could frequently require retries because of optimistic concurrency failures + (I'm trying to increment my count, but so is everyone else) +1. If we're wrong about cardinality, there's not an easy way out +1. Lots of writes to a resource that will be watched fairly often (every + controller which needs refs will watch all refgrants) +1. We need .status. +1. If we instead put that into a ReferenceGrantUse resource (just a tuple of + controller-name and count), then we only have optimistic concurrency + problems with ourselves, we have ~infinite cardinality, nobody will be + watching them, and RefGrant doesn't need .status. + +Downsides: + +1. It's another new resource +1. It's a new pattern, untested in other places. + +<<[/UNRESOLVED]>> +* Clarify that the expected operating model for implementations expects them to + have broad, read access to both ReferenceGrant and the specific `To` Kinds they + support, and then self-limit to only _use_ the relevant ones. +* Decide whether to formally add `*` as a special value for Namespace, to mean + "all namespaces". + +### Test Plan + +[x] I/we understand the owners of the involved components may require updates to +existing tests to make this code solid enough prior to committing the changes necessary +to implement this enhancement. + +##### Prerequisite testing updates + +This is a net new resource to Kubernetes so it will not require any changes or +additions to existing tests. + +##### Unit tests + +Unit tests will be used to cover: + +1. ReferenceGrant validation +2. ReferenceGrant implementation library + +Test Cases of the ReferenceGrant implementation library will cover the +following: + +* A reference to a Namespace that doesn't exist +* A reference to a Namespace that exists and a Resource that doesn't exist +* A reference to a Namespace and Resource that exists but a ReferenceGrant + allowing the reference does not exist +* Multiple entries in both from and to entries within a ReferenceGrant +* A ReferenceGrant that allows references to kinds of resources that do not + exist +* Multiple ReferenceGrants with partially overlapping grants +* Revocation of a ReferenceGrant with partially overlapping grants +* A ReferenceGrant that does not specify `to.name` +* A ReferenceGrant that includes overlapping grants for the same namespace both + with and without the resource name specified +* A reference that has not been allowed by any ReferenceGrants +* A ReferenceGrant that is ineffective due to the wrong `from.namespace` value +* A ReferenceGrant that is ineffective due to the wrong `from.group` value +* A ReferenceGrant that is ineffective due to the wrong `from.resource` value +* A ReferenceGrant that is ineffective due to the wrong `to.group` value +* A ReferenceGrant that is ineffective due to the wrong `to.resource` value +* A ReferenceGrant that is ineffective due to the wrong `to.name` value +* A ReferenceGrant that is ineffective due to being in the wrong namespace + +More details will be added as the details of the implementation library are +clarified. + +##### Integration tests + +Before this graduates to beta, we will provide a reference implementation with a +sample CRD that will be used to provide integration tests. + +##### e2e tests + +We will strongly encourage every API that uses ReferenceGrant to define +conformance tests for their use of ReferenceGrant. + +### Graduation Criteria + +#### Beta + +[ ] Reference implementation with integration tests. +[ ] Almost all of the fields and behavior have conformance test coverage in at least one project (for example Gateway API). + +#### GA + +[ ] Conformance tests that exercise all ReferenceGrant API calls (not the actual implementation of the API). +[ ] Multiple implementations of this API passing all relevant conformance tests. + +### Upgrade / Downgrade Strategy + +N/A + +### Version Skew Strategy + +Version skew is a bit different here. Although we will provide a shared library +for implementing this API, this will only be used by third-party controllers, +not built-in components. + +There will be some implementations that support both the API defined by Gateway +API and this API. Since these resources are entirely additive and can be +duplicative, we can copy Gateway API resources to the new API group and delete +the old Gateway API resources as part of a seamless migration. We expect that +many implementations will provide this recommendation to users, and we may even +provide tooling to simplify this process. + +<<[UNRESOLVED open questions that don't clearly fit elsewhere ]>> +## Open Questions + +This KEP was merged in a provisional state with a number of open questions +remaining. This section highlights the questions we have not resolved yet. + +### Do We Need Verbs? + +Previous Discussion: https://github.com/kubernetes/enhancements/pull/3767#discussion_r1084509958 + +We could add a `verbs` field to enable users to specify the kind of referential +access they want to grant. For example, we could define "read", "route", and +"backup" as well-known verbs to start. We could also allow implementations to +support additional domain-prefixed verbs. + +This would enable more precise grants, and potentially more open ended fields +elsewhere in the resource, see the next item for more. + +### Do We Need Any or Wildcard Selectors? + +Previous Discussions: +* https://github.com/kubernetes/enhancements/pull/3767#discussion_r1086020464 +* https://github.com/kubernetes/enhancements/pull/3767#discussion_r1086012665 + +We already allow "Name" to be optional in `To`, effectively resulting in +wildcard behavior. Should we expand that to allow any of the following? + +1. References to any group or resource +1. References from any group or resource +1. References from any namespace + +Historically, there has been pushback to allowing any group or resource +because it could enable unknown or unintended kinds of access. If we +introduced the concepts of "verbs" described above, this would become +a moot point. + +### Do We Need Label Selectors? + +Previous Discussions: +* https://github.com/kubernetes/enhancements/pull/3767#discussion_r1084492070 +* https://github.com/kubernetes/enhancements/pull/3767#discussion_r1084674648 + +As a natural next step, instead of simply allowing all, we could use +label selectors to enable: + +1. Access to resources with specific labels +1. Access from namespaces with specific labels + +In both cases, this would significantly increase implementation +complexity. + +As a potential middleground, we could explore a solution that left +room for namespace selectors without actually including them. For example: + +```go +type ReferenceGrantFrom struct { + //... + Peer ReferenceGrantPeer +} + +// Exatcly one field should be set. If none are found, clients must +// assume that an unknown value was specified. +type ReferenceGrantPeer { + Namespace *string + // Future: Namespace selector +} +``` + +This assumes that group+resource supersedes namespaces - is that true? Or do we +really want: + +```go +type ReferenceGrant struct { + // ... + From ReferenceGrantPeer +} + +type ReferenceGrantPeer struct { + // ... + Namespace *string + NamespaceResource *NamespaceResource +} + +type NamespaceResource struct { + Namespace string + Group string + Resource string +} +``` +<<[/UNRESOLVED]>> + + +## Production Readiness Review Questionnaire + +### Feature Enablement and Rollback + +###### How can this feature be enabled / disabled in a live cluster? + +- [x] Other + - Describe the mechanism: Enable alpha ReferenceGrant API + - Will enabling / disabling the feature require downtime of the control + plane? + No + - Will enabling / disabling the feature require downtime or reprovisioning + of a node? (Do not assume `Dynamic Kubelet Config` feature is enabled). + No + +###### Does enabling the feature change any default behavior? + +No + +###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? + +Yes + +###### What happens if we reenable the feature if it was previously rolled back? + +The API would become accessible again, implementing controllers may need to be +restarted to pick up the presence of this API. + +###### Are there any tests for feature enablement/disablement? + +No + +### Rollout, Upgrade and Rollback Planning + +###### How can a rollout or rollback fail? Can it impact already running workloads? + +API enablement may not work, but that would not be unique to this API. + +###### What specific metrics should inform a rollback? + +N/A, this is just an API + +###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? + +N/A, this is just an API + +###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? + +No + +### Monitoring Requirements + +N/A, this is just an API + +###### How can an operator determine if the feature is in use by workloads? +``` +kubectl get referencegrants --all-namespaces +``` + +###### How can someone using this feature know that it is working for their instance? + +This will be dependent on the API that ReferenceGrant is used with. In Gateway API, +each resource has clear status conditions that reflect the validity of a cross-namespace +reference. + +###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? + +Changes to ReferenceGrants are processed by the shared library within 10 seconds 99% over a quarter. + +###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? + +Changes to ReferenceGrants are processed by the shared library within 10 seconds. + +###### Are there any missing metrics that would be useful to have to improve observability of this feature? + +No + +### Dependencies + +N/A, this is just an API + +###### Does this feature depend on any specific services running in the cluster? + +- API Server + +### Scalability + +###### Will enabling / using this feature result in any new API calls? + +Yes, users may install controllers that watch for changes to ReferenceGrants. +Users may also create ReferenceGrants to enable cross-namespace references. + +###### Will enabling / using this feature result in introducing new API types? + +API Type: ReferenceGrant +Supported Number of Objects per Cluster: No limit +Supported Number of Objects per Namespace: No limit + +###### Will enabling / using this feature result in any new calls to the cloud provider? + +No + +###### Will enabling / using this feature result in increasing size or count of the existing API objects? + +No + +###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? + +No + +###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? + +No + +### Troubleshooting + +###### How does this feature react if the API server and/or etcd is unavailable? + +The API would not be accessible. We would likely recommend that controllers revoke +cross-namespace references if they could not find ReferenceGrants that allow them +so this could result in a disruption for anything that relied on cross-namespace +references. + +###### What are other known failure modes? + +N/A, this is just an API + +###### What steps should be taken if SLOs are not being met to determine the problem? + +N/A, this is just an API + +## Implementation History + +* July 2021: [ReferencePolicy is proposed in Gateway API](https://github.com/kubernetes-sigs/gateway-api/pull/711) +* August 2021: [ReferencePolicy is added to Gateway API](https://github.com/kubernetes-sigs/gateway-api/pulls?page=2&q=is%3Apr+is%3Aclosed+ReferencePolicy) +* June 2022: [ReferencePolicy is renamed to ReferenceGrant](https://github.com/kubernetes-sigs/gateway-api/pull/1179) +* December 2022: [SIG-Storage uses ReferenceGrant for cross-namespace data storage sources](https://kubernetes.io/blog/2023/01/02/cross-namespace-data-sources-alpha/) +* December 2022: [ReferenceGrant graduates to beta in Gateway API v0.6.0](https://github.com/kubernetes-sigs/gateway-api/releases/tag/v0.6.0) + +## Drawbacks + +N/A + +## Alternatives + +1. ReferenceGrant could remain as a CRD +This would probably be fine, we just don't really have a good place for it to +live. This could also complicate installation of Gateway API and other APIs that +depended on this. + +2. Every API that wanted to support cross-namespace references could maintain their own version of ReferenceGrant +This would be a confusing mess, we should avoid this at all costs. + diff --git a/keps/sig-auth/3766-referencegrant/kep.yaml b/keps/sig-auth/3766-referencegrant/kep.yaml new file mode 100644 index 000000000000..6f8f282e1982 --- /dev/null +++ b/keps/sig-auth/3766-referencegrant/kep.yaml @@ -0,0 +1,29 @@ +title: Move ReferenceGrant to sig-auth API Group +kep-number: 3766 +authors: + - "@robscott" + - "@youngnick" +owning-sig: sig-auth +participating-sigs: + - sig-network + - sig-storage +status: provisional +creation-date: 2023-01-20 +reviewers: + - "@enj" + - "@deads2k" + - "@liggitt" + - "@msau42" + - "@thockin" +approvers: + - "@enj" + - "@liggitt" + +stage: alpha + +latest-milestone: "v1.27" + +milestone: + alpha: "v1.27" + +disable-supported: true diff --git a/keps/sig-cli/2227-kubectl-default-container/README.md b/keps/sig-cli/2227-kubectl-default-container/README.md index 8fd2b7e22652..0055da193fb3 100644 --- a/keps/sig-cli/2227-kubectl-default-container/README.md +++ b/keps/sig-cli/2227-kubectl-default-container/README.md @@ -16,6 +16,11 @@ - [Risks and Mitigations](#risks-and-mitigations) - [Design Details](#design-details) - [Test Plan](#test-plan) + - [Testing Strategy](#testing-strategy) + - [Prerequisite testing updates](#prerequisite-testing-updates) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) - [Graduation Criteria](#graduation-criteria) - [Alpha -> Beta Graduation](#alpha---beta-graduation) - [Beta -> GA Graduation](#beta---ga-graduation) @@ -179,13 +184,37 @@ metadata: ``` ### Test Plan + +#### Testing Strategy + Add a unit test for each command, testing the behavior with the annotation, without the annotation, and with the --container flag +##### Prerequisite testing updates + +##### Unit tests + +The main unit test is in package under `vendor/k8s.io/kubectl/pkg/`. + +- vendor/k8s.io/kubectl/pkg/cmd/exec:2023-01-13 - 68.9% +- vendor/k8s.io/kubectl/pkg/cmd/util/helpers.go:2023-01-13 - 38.1% +- vendor/k8s.io/kubectl/pkg/polymorphichelpers/logsforobject.go:2023-01-13 - 79% + +See details in . + +##### Integration tests + +N/A + +##### e2e tests + +[Kubectl logs default container logs](https://github.com/kubernetes/kubernetes/blob/02f893b6e28549a1008d4fc65c40990b87c07830/test/e2e/kubectl/logs.go#L163): + ### Graduation Criteria #### Alpha -> Beta Graduation As this is an opt-in feature, no gate is expected. + - At least 2 release cycles pass to gather feedback and bug reports during - Documentations, add it to [well-known annotations docs](https://kubernetes.io/docs/reference/kubernetes-api/labels-annotations-taints/) - Add a warning deprecation message when using the annotation `kubectl.kubernetes.io/default-logs-container` @@ -310,11 +339,26 @@ resource usage (CPU, RAM, disk, IO, ...) in any components?** ## Implementation History -2021-03-10: Alpha implementation completion in 1.21 -- https://github.com/kubernetes/kubernetes/pull/97099 -- https://github.com/kubernetes/kubernetes/pull/99615 -- https://github.com/kubernetes/kubernetes/pull/99581 -- https://github.com/kubernetes/kubernetes/pull/99833 +2021-03-10(v1.21) Alpha: implementation completion + +- +- +- +- + +2021-10-28(v1.24) Beta: make 'kubectl logs' default to the first container when default container cannot be +determined or found by annotations + +- + +2022-04-05(v1.25): remove deprecated message of `kubectl.kubernetes.io/default-logs-container` + +- + +2023-01-13(v1.27): add an e2e test case + +- + ## Drawbacks diff --git a/keps/sig-cli/2227-kubectl-default-container/kep.yaml b/keps/sig-cli/2227-kubectl-default-container/kep.yaml index 36cc39d41ec6..ec491dfb578d 100644 --- a/keps/sig-cli/2227-kubectl-default-container/kep.yaml +++ b/keps/sig-cli/2227-kubectl-default-container/kep.yaml @@ -6,7 +6,7 @@ owning-sig: sig-cli participating-sigs: status: implementable creation-date: 2020-12-16 -last-updated: 2021-03-10 +last-updated: 2023-01-20 reviewers: - "@dougsland" - "@eddiezane" @@ -19,18 +19,18 @@ approvers: see-also: # The target maturity stage in the current dev cycle for this KEP. -stage: alpha +stage: stable # The most recent milestone for which work toward delivery of this KEP has been # done. This can be the current (upcoming) milestone, if it is being actively # worked on. -latest-milestone: "v1.21" +latest-milestone: "v1.27" # The milestone at which this feature was, or is targeted to be, at each stage. milestone: alpha: "v1.21" - beta: "v1.23" - stable: "v1.25" + beta: "v1.24" + stable: "v1.27" # The following PRR answers are required at alpha release # List the feature gate name and the components for which it must be enabled diff --git a/keps/sig-instrumentation/2845-deprecate-klog-specific-flags-in-k8s-components/kep.yaml b/keps/sig-instrumentation/2845-deprecate-klog-specific-flags-in-k8s-components/kep.yaml index 34ba8626c52f..d08c499973d0 100644 --- a/keps/sig-instrumentation/2845-deprecate-klog-specific-flags-in-k8s-components/kep.yaml +++ b/keps/sig-instrumentation/2845-deprecate-klog-specific-flags-in-k8s-components/kep.yaml @@ -5,7 +5,7 @@ authors: owning-sig: sig-instrumentation participating-sigs: - sig-arch -status: implementable +status: implemented creation-date: 2021-07-30 reviewers: - pohly @@ -16,12 +16,12 @@ approvers: see-also: - "/keps/sig-instrumentation/1602-structured-logging" replaces: [] -stage: beta -latest-milestone: "v1.24" +stage: stable +latest-milestone: "v1.26" milestone: alpha: "v1.23" beta: "v1.24" - stable: "v1.25" + stable: "v1.26" feature-gates: [] disable-supported: true diff --git a/keps/sig-instrumentation/3466-kubernetes-component-health-slis/README.md b/keps/sig-instrumentation/3466-kubernetes-component-health-slis/README.md index ced1109680a6..b7e6db5153f2 100644 --- a/keps/sig-instrumentation/3466-kubernetes-component-health-slis/README.md +++ b/keps/sig-instrumentation/3466-kubernetes-component-health-slis/README.md @@ -128,20 +128,20 @@ checklist items _must_ be updated for the enhancement to be released. Items marked with (R) are required *prior to targeting to a milestone / release*. -- [ ] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) -- [ ] (R) KEP approvers have approved the KEP status as `implementable` -- [ ] (R) Design details are appropriately documented -- [ ] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) - - [ ] e2e Tests for all Beta API Operations (endpoints) - - [ ] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) - - [ ] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [X] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [X] (R) KEP approvers have approved the KEP status as `implementable` +- [X] (R) Design details are appropriately documented +- [X] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [X] e2e Tests for all Beta API Operations (endpoints) + - [X] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [X] (R) Minimum Two Week Window for GA e2e tests to prove flake free - [ ] (R) Graduation criteria is in place - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) -- [ ] (R) Production readiness review completed +- [X] (R) Production readiness review completed - [ ] (R) Production readiness review approved -- [ ] "Implementation History" section is up-to-date for milestone -- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] -- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes +- [X] "Implementation History" section is up-to-date for milestone +- [X] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [X] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes - + - [x] API .status - Condition name: The Condition name will not be standardized in `alpha` however implementations are given the `status` field to report what they see fit. @@ -1175,8 +1355,8 @@ Describe the metrics themselves and the reasons why they weren't added (e.g., co implementation difficulties, etc.). --> -A metric describing the time it takes for the implementation to program the rules -defined in an AdminNetworkPolicy could be useful. However, some implementations +A metric describing the time it takes for the implementation to program the rules +defined in an AdminNetworkPolicy could be useful. However, some implementations may struggle to report such a metric. ### Dependencies @@ -1242,10 +1422,10 @@ Describe them, providing: - Supported number of objects per namespace (for namespace-scoped objects) --> -- API Type: AdminNetworkPolicy -- Supported number of objects per cluster: The total number of AdminNetworkPolicies -will not be limited. However, it is important to remember that the only users -creating ANPs will be Cluster-Admins, of which there should only be a handful. This +- API Type: AdminNetworkPolicy +- Supported number of objects per cluster: The total number of AdminNetworkPolicies +will not be limited. However, it is important to remember that the only users +creating ANPs will be Cluster-Admins, of which there should only be a handful. This will help limit the total number ANPs being deployed at any given time. ###### Will enabling / using this feature result in any new calls to the cloud provider? @@ -1256,7 +1436,7 @@ Describe them, providing: - Estimated increase: --> -This depends on the implementation, specifically based on the API used to program +This depends on the implementation, specifically based on the API used to program the AdminNetworkPolicy rules into the data-plane. ###### Will enabling / using this feature result in increasing size or count of the existing API objects? @@ -1295,7 +1475,7 @@ This through this both in small and large cases, again with respect to the [supported limits]: https://git.k8s.io/community//sig-scalability/configs-and-limits/thresholds.md --> -Not in any in-tree components, resource efficiency will need to be monitored by the +Not in any in-tree components, resource efficiency will need to be monitored by the implementation. ### Troubleshooting diff --git a/keps/sig-network/2681-pod-host-ip/kep.yaml b/keps/sig-network/2681-pod-host-ip/kep.yaml index e08ac84cafc7..9de5d23944fb 100644 --- a/keps/sig-network/2681-pod-host-ip/kep.yaml +++ b/keps/sig-network/2681-pod-host-ip/kep.yaml @@ -25,13 +25,13 @@ stage: alpha # The most recent milestone for which work toward delivery of this KEP has been # done. This can be the current (upcoming) milestone, if it is being actively # worked on. -latest-milestone: "v1.24" +latest-milestone: "v1.27" # The milestone at which this feature was, or is targeted to be, at each stage. milestone: - alpha: "v1.24" - beta: "v1.25" - stable: "v1.27" + alpha: "v1.27" + beta: "v1.28" + stable: "v1.30" # The following PRR answers are required at alpha release # List the feature gate name and the components for which it must be enabled diff --git a/keps/sig-network/3458-remove-transient-node-predicates-from-service-controller/README.md b/keps/sig-network/3458-remove-transient-node-predicates-from-service-controller/README.md new file mode 100644 index 000000000000..529cc8c90fbb --- /dev/null +++ b/keps/sig-network/3458-remove-transient-node-predicates-from-service-controller/README.md @@ -0,0 +1,381 @@ +# KEP-3458: Remove transient node predicates from KCCM's service controller + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [Goals](#goals) + - [Non-Goals](#non-goals) +- [Proposal](#proposal) + - [Risks and Mitigations](#risks-and-mitigations) + - [Risk](#risk) + - [Mitigations](#mitigations) +- [Design Details](#design-details) + - [Test Plan](#test-plan) + - [Prerequisite testing updates](#prerequisite-testing-updates) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) + - [Graduation Criteria](#graduation-criteria) + - [Beta](#beta) + - [GA](#ga) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) + - [Feature Enablement and Rollback](#feature-enablement-and-rollback) + - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) + - [Monitoring Requirements](#monitoring-requirements) + - [Dependencies](#dependencies) + - [Scalability](#scalability) + - [Troubleshooting](#troubleshooting) +- [Implementation History](#implementation-history) +- [Drawbacks](#drawbacks) +- [Alternatives](#alternatives) + + +## Release Signoff Checklist + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +- [x] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [ ] (R) KEP approvers have approved the KEP status as `implementable` +- [ ] (R) Design details are appropriately documented +- [ ] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [ ] e2e Tests for all Beta API Operations (endpoints) + - [ ] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [ ] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [ ] (R) Graduation criteria is in place + - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [ ] (R) Production readiness review completed +- [ ] (R) Production readiness review approved +- [ ] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + + + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + +The service controller in the Kubernetes cloud controller manager (KCCM) +currently adds/removes Nodes from the load balancers' node set in the following +cases: + +a) When a node gets the taint `ToBeDeletedByClusterAutoscaler` added/removed +b) When a node goes `Ready` / `NotReady` + +b) however only applies to services with `externalTrafficPolicy: Cluster`. In +both cases: removing the Node in question from the load balancers' node set will +cause all connections on that node to get terminated instantly. This can be +considered a bug / sub-optimal behavior for nodes which are experiencing +transient readiness state or for terminating nodes, since connections are not +allowed to drain in those cases, even though the load balancer might support +that. Moreover: on large clusters with a lot nodes and entropy, re-syncing load +balancers like this can lead to rate-limiting by the cloud provider due to an +excessive amount of update calls. + +As to enable connection draining, reduce cloud provider API calls and simplify +the KCCMs sync loop: this KEP proposes that the service controller stops +synchronizing the load balancer node set in these cases. Seeing as how this has +always been the case, a new feature gate `StableLoadBalancerNodeSet` will +be introduced, which will be used to enable the more optimal behavior. + +## Motivation + +Abruptly terminating connections in the cases defined by a) and b) above can be +seen as buggy behavior and should be improved. By enabling connection draining, +applications are allowed profit from graceful shutdown / termination, for what +concerns cluster ingress connectivity. Users of Kubernetes will also see a +reduction in the amount of cloud API calls, for what concerns calls stemming +from syncing load balancers with the Kubernetes cluster state. + +### Goals + +- Stop re-configuring the load balancers' node set for cases a) and b) above + +### Non-Goals + +- Stop re-configuring the load balancers' node set for fully deleted / + newly added cluster nodes, or for nodes which get annotated with + `node.kubernetes.io/exclude-from-external-load-balancers`. +- Enable load balancer connection draining while Node is draining. This requires + health check changes. + +## Proposal + +### Risks and Mitigations + +#### Risk + +1. Cloud providers which do not allow VM deletion when the VM is referenced by + other constructs, will block the cluster auto-scaler (CA) from deleting the VM + upon downscale. This will result in reduced downscale performance by the CA, + or completely block VM deletion from happening - this is because the service + controller will never proceed to de-reference the VM from the load balancer + node set until the Node is fully deleted in the API server, which will never + occur until the VM is deleted. The three major cloud providers (GCP/AWS/Azure) + do however support this, and it is not expected that other providers don't. +2. Cloud providers which do not configure their load balancer health checks to + target the service proxy's healthz, alternatively: constructs which validate + the endpoint's reachability across the data plane; risk experiencing + regressions as a consequence of the removal of b). This would happen if a node + is faced with a terminal error which does impact the Node's network + connectivity. Doing this is considered incorrect, and therefor not expected to + be the case. +3. By removing b) above we are delaying the removal of the Node from the load + balancers' node set until the Node is completely deleted in the API server. + This might have an impact on CA downscaling. The reason for this is: the CA + deletes the VM and expects the node controller in the KCCM to notice this and + delete the Node in Kubernetes, as a consequence. If the node controller takes + a while to sync that and other Node related events trigger load balancer + reconciliation while this is happening, then the service controller will error + until the cluster reaches steady-state (because it's trying to sync Nodes for + which the VM is non-existent). A mitigation to this is presented in + [Mitigations](#mitigations) + +#### Mitigations + +- Cloud providers/workloads which do not support the behavior mentioned in + [Risk](#risk), have the possibility to set the feature flag to false, thus + default back to the current mechanism. +- For point 3. we could implement the following change in the service + controller; ensure it only enqueues Node UPDATE on changes to + `.metadata.labels["node.kubernetes.io/exclude-from-external-load-balancers"]`. + When processing the sync: list only Node following the existing predicates + defined for `externalTrafficPolicy: Cluster/Local` services (both currently + exclude Nodes with the taint `ToBeDeletedByClusterAutoscaler`). This will + ensure that whatever Nodes are included in the load balancer set, always have + a corresponding VM. Doing this is however reverting on the goal of the KEP. + +## Design Details + +- Implement the change in the service controller and ensure it does not add / + remove nodes from the load balancers' node set for cases a) and b) mentioned + in (Summary)[#Summary] +- Add the feature gate: `StableLoadBalancerNodeSet`, set it to "on" by + default and promote it directly to Beta. + +### Test Plan + +#### Prerequisite testing updates + +#### Unit tests + +The service controller in the KCCM currently has a set of tests validating +expected syncs caused by Node predicates, these will need to be updated. + +#### Integration tests + +Kubernetes is mostly tested via unit tests and e2e, not integration, and this is +not expected to change. + +#### e2e tests + +Kubernetes in general needs to extended its load balancing test suite with +disruption tests, this might be the right effort we need to get that ball +rolling. Testing would include: + +- validation that an application running on a deleting VM benefits from graceful + termination of its TCP connection. +- validation that Node readiness state changes do not result in load balancer + re-syncs. + +### Graduation Criteria + +#### Beta + +This is addressing a sub-optimal solution currently existing in Kubernetes, so +the feature gate will be moved to Beta and "on" by default from the start. + +The feature flag should be kept available until we get sufficient evidence of +people not being affected by anything mentioned in (Risks)[#Risks] or other. + +#### GA + +Given the lack of reported issues in Beta: the feature gate will be locked-in in +GA. + +Tentative timeline for this is in v1.29. Services of `type: LoadBalancer` are +sufficiently common on any given Kubernetes cluster, that any cloud provider +susceptible to the (Risks)[#Risks] will very likely report issues in Beta. + +### Upgrade / Downgrade Strategy + +Any upgrade to a version enabling the feature, succeeded by a downgrade to a +version disabling it, is not expected to be impacted in any way. On upgrade: the +service controller will add all existing cluster nodes (bar excluded ones) to +the load balancer set. On downgrade: any nodes `NotReady` / tainted will get +reconciled by the service controller corresponding to the downgraded control +plane version and get removed from the load balancer set - as they should. + +### Version Skew Strategy + +This change is contained to only the control plane and is therefor not +impacted by any version skew. + +## Production Readiness Review Questionnaire + +### Feature Enablement and Rollback + +###### How can this feature be enabled / disabled in a live cluster? + +- [X] Feature gate (also fill in values in `kep.yaml`) + - Feature gate name: `StableLoadBalancerNodeSet` + - Components depending on the feature gate: Kubernetes cloud controller manager + +###### Does enabling the feature change any default behavior? + +Yes, Kubernetes Nodes will remain in the load balancers' node set until fully +deleted in the API server, as opposed to the current behavior: which adds / +removes the nodes from the set when the Node experience transient state changes. +Cloud providers which do not support deleting VMs which are still referenced by +load balancers, will be unable to do so upon downscaling by the cluster +auto-scaler when it attempts to delete the VM. + +###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? + +Yes, by resetting the feature gate back. + +###### What happens if we reenable the feature if it was previously rolled back? + +Behavior will be restored back immediately. + +###### Are there any tests for feature enablement/disablement? + +N/A + +### Rollout, Upgrade and Rollback Planning + +###### How can a rollout or rollback fail? Can it impact already running workloads? + +Rollout and rollback are not expected to fail. + +###### What specific metrics should inform a rollback? + +Performance degradation by the CA when downscaling / flat out inability to delete VMs. + +###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? + +N/A + +###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? + +No. + +### Monitoring Requirements + +The only mechanism currently implemented, is: events for syncing load balancers +in the KCCM. The events are triggered any time a service is synced or Node +change triggers a re-sync of all services. This will not change and can be used +to monitor the implemented change. The implementation will result in less load +balancer re-syncs. + +A new metric `load_balancer_sync_count` will be added for explicitly monitoring +the amount of load balancer related syncs performed by the service controller. +This will include load balancer syncs caused by Service and Node changes. + +A new metric `nodesync_error_rate` will be added for explicitly monitoring the +amount of errors produced by syncing Node related events for load balancers. The +goal is have an indicator of if the service controller is impacted by point 3. +mentioned in (Risk)[#Risk], and at which frequency. + +###### How can an operator determine if the feature is in use by workloads? + +Analyze events stemming from the API server, correlating node state changes +(readiness or addition / removal of the taint: `ToBeDeletedByClusterAutoscaler`) +to load balancer re-syncs. The events should show a clear reduction in re-syncs +post the implementation and rollout of the change. + +###### How can someone using this feature know that it is working for their instance? + +Yes, when a node transition from `Ready` <-> `NotReady` the load balancers are +not re-synced and the load balancers' node set will remain unchanged for +`externalTrafficPolicy: Cluster` services. On downscaling by the CA, the node +will remain the the load balancers' set for a longer period of time, just until +the Node object in Kubernetes is fully deleted. + +###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? + +Total amount of load balancer re-syncs should be reduced, leading to less cloud +provider API calls. Also, and more subtle: connections will get a chance to +gracefully terminate when the CA downscales cluster nodes. For services of type +`externalTrafficPolicy: Cluster` "traversing" connections through a "nexthop" +node might not be impacted by that Node's readiness state anymore. + +###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? + + + +- [X] Metrics + - Events: The KCCM triggers events when syncing load balancers. The amount of + these events should be reduced. + +###### Are there any missing metrics that would be useful to have to improve observability of this feature? + +N/A + +### Dependencies + +###### Does this feature depend on any specific services running in the cluster? + +It depends on: + +- having a `type: LoadBalancer` service with `externalTrafficPolicy: Cluster` + +### Scalability + +###### Will enabling / using this feature result in any new API calls? + +No + +###### Will enabling / using this feature result in introducing new API types? + +No + +###### Will enabling / using this feature result in any new calls to the cloud provider? + +No + +###### Will enabling / using this feature result in increasing size or count of the existing API objects? + +No + +###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? + +No + +###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? + +No + +### Troubleshooting + +###### How does this feature react if the API server and/or etcd is unavailable? + +Not any different than today. + +###### What are other known failure modes? + +None + +###### What steps should be taken if SLOs are not being met to determine the problem? + +Validate that services of `type: LoadBalancer` exists on the cluster and that +Nodes are experiencing a transitioning readiness state, alternatively that the +CA downscales and deletes VMs. + +## Implementation History + +- 2023-02-01: Initial proposal + +## Drawbacks + +## Alternatives diff --git a/keps/sig-network/3458-remove-transient-node-predicates-from-service-controller/kep.yaml b/keps/sig-network/3458-remove-transient-node-predicates-from-service-controller/kep.yaml new file mode 100755 index 000000000000..eea8ff138019 --- /dev/null +++ b/keps/sig-network/3458-remove-transient-node-predicates-from-service-controller/kep.yaml @@ -0,0 +1,24 @@ +prnumber: "3460" +name: 3458-remove-transient-node-predicates-from-service-controller +title: Remove transient node predicates from KCCM's service controller +kep-number: "3458" +authors: ['@alexanderConstantinescu'] +owning-sig: sig-network +participating-sigs: [sig-network] +reviewers: + - "@thockin" +approvers: + - "@thockin" +creation-date: "2022-08-07" +last-updated: v1.27 +status: implementeable +stage: stable +latest-milestone: "v1.27" +milestone: + beta: "v1.27" + stable: "v1.29" +feature-gates: + - name: StableLoadBalancerNodeSet + components: + - kube-controller-manager +disable-supported: true diff --git a/keps/sig-network/3668-reserved-service-nodeport-range/README.md b/keps/sig-network/3668-reserved-service-nodeport-range/README.md new file mode 100644 index 000000000000..4b0a626b5ade --- /dev/null +++ b/keps/sig-network/3668-reserved-service-nodeport-range/README.md @@ -0,0 +1,468 @@ +# KEP-3668: Reserve Nodeport Ranges For Dynamic And Static Port Allocation + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [Goals](#goals) + - [Non-Goals](#non-goals) +- [Proposal](#proposal) + - [Story 1](#story-1) + - [Story 2](#story-2) + - [Risks and Mitigations](#risks-and-mitigations) +- [Design Details](#design-details) + - [Current Services NodePort allocation model](#current-services-nodeport-allocation-model) + - [Proposed Services NodePorts allocation model](#proposed-services-nodeports-allocation-model) + - [Test Plan](#test-plan) + - [Prerequisite testing updates](#prerequisite-testing-updates) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) + - [Graduation Criteria](#graduation-criteria) + - [Alpha](#alpha) + - [Beta](#beta) + - [GA](#ga) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) + - [Feature Enablement and Rollback](#feature-enablement-and-rollback) + - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) + - [Monitoring Requirements](#monitoring-requirements) + - [Dependencies](#dependencies) + - [Scalability](#scalability) + - [Troubleshooting](#troubleshooting) +- [Implementation History](#implementation-history) +- [Drawbacks](#drawbacks) +- [Alternatives](#alternatives) + + +## Release Signoff Checklist + + + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +- [ ] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [ ] (R) KEP approvers have approved the KEP status as `implementable` +- [ ] (R) Design details are appropriately documented +- [ ] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [ ] e2e Tests for all Beta API Operations (endpoints) + - [ ] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [ ] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [ ] (R) Graduation criteria is in place + - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [ ] (R) Production readiness review completed +- [ ] (R) Production readiness review approved +- [ ] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + + + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + +Nodeport Service can expose a Service outside the cluster, and allow external applications access to an set of Pods. NodePort has several ports that are widespread in the cluster and allow to load-balance traffic from the external. And the port number can be assigned: + +- dynamically, the cluster will pick one within the configured service node port range. +- statically, the user will set one port within the configured service node port range. + +Currently, there is no possibility, before creating a NodePort Service with a static port, to know if the port has been chosen already by any other NodePort using dynamic allocation. + +The NodePort Service port range can be logically subdivided to avoid the risk of conflict between NodePort that use static and dynamic port allocation. The idea is mostly the same with [Reserve Service IP Ranges (KEP-3070)](https://github.com/kubernetes/enhancements/tree/master/keps/sig-network/3070-reserved-service-ip-range#release-signoff-checklist) did. + +## Motivation + +There are many situations that users need to rely on well-known predefined NodePort ports. + +The usage scenario is similar in nature to the pre-assigned Cluster IP addresses described in KEP 3070: in some deployments, IPs or ports need to be hard-coded in some specific components of the cluster. Hard-coding of NodePort typically occurs in private cloud deployments with complex hyper-converged architectures, where we cannot rely on some of the underlying infrastructure, or even need to use the services running on Kubernetes as a base service. As a concrete example, imagine we need to deploy a set of applications in an environment without DNS servers and external LBs, this set of applications includes several K8S-based deployments, but others are non-K8S-based which deploied on baremetal. At this point, CoreDNS is expected to be the only DNS server in the environment, and both need to provide resolution services not only within K8S, but also outside the K8S cluster, where a fixed IP and NodePort is necessary. + +During cluster initialization, some services created earlier may take up the CluserIP and NodePort ports that we expect to assign later, the ClusterIP problem is solved in and KEP 3070, while the NodePort problem may still occur. + + +### Goals + +- allow to create a Service with a static NodePort with less risk of port conflict. + + +### Non-Goals + +- changing the allocators implementation (bitmaps, ...). +- add new configuration options or flags. + +## Proposal + +### Story 1 + +"As a Kubernetes administrator, I would like to be able to assign a fixed port to my DNS Service to provide access to services outside the cluster and reduce the possibility of conflicts with existing NodePort Services within the cluster." + +### Story 2 +"As a Kubernetes developer I want to allocate safely fixed ports to some NodePort Services so I can automate some configuration parameters of my cluster" + +### Risks and Mitigations +There is no risk. Every NodePort Service should be able to get an port from the NodePort range as long as there are free ports. + +This KEP only subdivides the NodePort range, and prioritize one range over other for dynamically port allocation, without adding limitations to the number of ports assigned. + +## Design Details + +### Current Services NodePort allocation model + +nodePort is an additional port that needs to be bound to all nodes for the service, if a port is specified manually, is in-range, and is not in use, +it will be allocated to the nodePort; otherwise creation of the service will fail. +The Service NodePort range is defined in the apiserver with the following flag: + +``` +--service-node-port-range Default: 30000-32767 +A port range to reserve for services with NodePort visibility. This must not overlap with the ephemeral port range on nodes. Example: '30000-32767'. Inclusive at both ends of the range. +``` + +In a multi master environment, multiple requests can arrive at same time at different apiservers, the allocation logic must +guarantee that there are no duplicate port assigned. To solve this consensus problem in a distributed system, allocators are +implemented using bitmaps that are serialized and stored in an ["opaque" API object](https://github.com/kubernetes/kubernetes/blob/6a16d7d31aeb0f95c4ae513311bfecef9492f30e/pkg/apis/core/types.go#L5714). + +```go +// RangeAllocation is an opaque API object (not exposed to end users) that can be persisted to record +// the global allocation state of the cluster. The schema of Range and Data generic, in that Range +// should be a string representation of the inputs to a range (for instance, for IP allocation it +// might be a CIDR) and Data is an opaque blob understood by an allocator which is typically a +// binary range. Consumers should use annotations to record additional information (schema version, +// data encoding hints). A range allocation should *ALWAYS* be recreatable at any time by observation +// of the cluster, thus the object is less strongly typed than most. +type RangeAllocation struct { + metav1.TypeMeta + // +optional + metav1.ObjectMeta + // A string representing a unique label for a range of resources, such as a CIDR "10.0.0.0/8" or + // port range "10000-30000". Range is not strongly schema'd here. The Range is expected to define + // a start and end unless there is an implicit end. + Range string + // A byte array representing the serialized state of a range allocation. Additional clarifiers on + // the type or format of data should be represented with annotations. For IP allocations, this is + // represented as a bit array starting at the base IP of the CIDR in Range, with each bit representing + // a single allocated address (the fifth bit on CIDR 10.0.0.0/8 is 10.0.0.4). + Data []byte +} +``` + +The [apiserver Service registry contains allocators backed by those bitmaps](p[kg/registry/core/rest/storage_core.go](https://github.com/kubernetes/kubernetes/blob/2ac6a4121f5b2a94acc88d62c07d8ed1cd34ed63/pkg/registry/core/rest/storage_core.go#L96-L103)) in order to assign these ports. + +```go +type LegacyRESTStorage struct { + ServiceClusterIPAllocator rangeallocation.RangeRegistry + SecondaryServiceClusterIPAllocator rangeallocation.RangeRegistry + ServiceNodePortAllocator rangeallocation.RangeRegistry +} + +... +func (c LegacyRESTStorageProvider) NewLegacyRESTStorage(apiResourceConfigSource serverstorage.APIResourceConfigSource, restOptionsGetter generic.RESTOptionsGetter) (LegacyRESTStorage, genericapiserver.APIGroupInfo, error) { + ... + var serviceNodePortRegistry rangeallocation.RangeRegistry + serviceNodePortAllocator, err := portallocator.New(c.ServiceNodePortRange, func(max int, rangeSpec string) (allocator.Interface, error) { + mem := allocator.NewAllocationMap(max, rangeSpec) + // TODO etcdallocator package to return a storage interface via the storageFactory + etcd, err := serviceallocator.NewEtcd(mem, "/ranges/servicenodeports", serviceStorageConfig.ForResource(api.Resource("servicenodeportallocations"))) + if err != nil { + return nil, err + } + serviceNodePortRegistry = etcd + return etcd, nil + }) +``` + +The bitmaps implement a [strategy for allocating a random free value if none is specified](https://github.com/kubernetes/kubernetes/blob/2ac6a4121f5b2a94acc88d62c07d8ed1cd34ed63/pkg/registry/core/service/allocator/bitmap.go#L186-L205): + +```go +// randomScanStrategy chooses a random address from the provided big.Int, and then +// scans forward looking for the next available address (it will wrap the range if +// necessary). +type randomScanStrategy struct { + rand *rand.Rand +} + +func (rss randomScanStrategy) AllocateBit(allocated *big.Int, max, count int) (int, bool) { + if count >= max { + return 0, false + } + offset := rss.rand.Intn(max) + for i := 0; i < max; i++ { + at := (offset + i) % max + if allocated.Bit(at) == 0 { + return at, true + } + } + return 0, false +} +``` + +### Proposed Services NodePorts allocation model + +The strategy proposaled here is mentioned and implemented in (KEP 3070)[https://github.com/kubernetes/enhancements/blob/master/keps/sig-network/3070-reserved-service-ip-range/README.md#proposed-services-clusterips-allocation-model] first, with some fine-tuning. The following is a specific explanation of the strategy. + +the strategy following formula `min(max($min, node-range-size/$step), $max)`, described as never less than $min or more than $max, with a graduated step function between them, with $min = 16, $max = 128 and $step = 32. If node-range-size < $min the formula doesn't apply and the strategy will not change, both dynamic and static ports will be allocated from the whole range with equal probability. + +- lower band, used preferably for static port assignment. +- upper band, used preferably for dynamic port assignment. + +Dynamically port assignment will use the upper band by default, once this has been exhausted it will use the lower range. This will allow users to define static allocations on the lower band of the predefined range with a low risk of collision, keeping the implementation backwards compatible. + + +Example 1 Default service nodeport range: + +- Service Node Port Range: 30000-32767 +- Range Size: 32767 - 30000 = 2767 +- Band Offset: min(max(16,2767/32),128) = min(86,128) = 86 +- Static band start: 30000 +- Static band ends: 30086 + + ┌─────────────┬─────────────────────────────────────────────┐ + │ static │ dynamic │ + └─────────────┴─────────────────────────────────────────────┘ + + ◄────────────► ◄────────────────────────────────────────────► + 30000 30086 32767 + + +Example 2 Large service nodeport range: + +- Service Node Port Range: 20000-32767 +- Range Size: 32767 - 30000 = 12767 +- Band Offset: min(max(16,12767/32),128) = min(398,128) = 128 +- Static band start: 20000 +- Static band ends: 20128 + + ┌─────────────┬─────────────────────────────────────────────┐ + │ static │ dynamic │ + └─────────────┴─────────────────────────────────────────────┘ + + ◄────────────► ◄────────────────────────────────────────────► + 20000 20128 32767 + + +Example 3 Small service nodeport range: + +- Service Node Port Range: 32567-32767 +- Range Size: 32767 - 32567 = 200 +- Band Offset: min(max(16,200/32),128) = min(max(16, 6),128) = 16 +- Static band start: 32567 +- Static band ends: 32583 + + ┌─────────────┬─────────────────────────────────────────────┐ + │ static │ dynamic │ + └─────────────┴─────────────────────────────────────────────┘ + + ◄────────────► ◄────────────────────────────────────────────► + 32567 32583 32767 + + + +### Test Plan + +[x] I/we understand the owners of the involved components may require updates to +existing tests to make this code solid enough prior to committing the changes necessary +to implement this enhancement. + +##### Prerequisite testing updates +None + +##### Unit tests +- `kubernetes/pkg/registry/core/service/portallocator`: `12/10/2022` - `83.1` + +##### Integration tests + +This feature doesn't modify the cluster behavior, only the order on which dynamic port are assigned to NodePort Services, there is no need for e2e or integration tests, unit tests are enough. + +##### e2e tests + +### Graduation Criteria + +#### Alpha + +- Feature implemented behind a feature flag + +#### Beta + +- Gather feedback from developers and community. +- No issues reported. + +#### GA + +- No issues reported during two releases. + + +### Upgrade / Downgrade Strategy + +The feature only changes the allocation strategy, the bitmaps and the underlay logic remain the same, +guaranteeing full compatibility and no risk rolling back the feature. + +### Version Skew Strategy + +Same as with upgrade, there is no change in the bitmaps, keeping the feature 100% compatible. + + +## Production Readiness Review Questionnaire + +### Feature Enablement and Rollback + +###### How can this feature be enabled / disabled in a live cluster? + +- [x] Feature gate (also fill in values in `kep.yaml`) + - Feature gate name: ServiceNodePortStaticSubrange + - Components depending on the feature gate: kube-apiserver +- [ ] Other + - Describe the mechanism: + - Will enabling / disabling the feature require downtime of the control + plane? + - Will enabling / disabling the feature require downtime or reprovisioning + of a node? (Do not assume `Dynamic Kubelet Config` feature is enabled). + +###### Does enabling the feature change any default behavior? + +Dynamic allocated NodePort will not be initially chosen from the first X values of the Service Node Port range, where X is obtained from the formula +described in [Proposed Services NodePorts allocation model](#proposed-services-nodeports-allocation-model) +This change is transparent to the user, since the port is and was already random, it doesn't matter from which range the port is obtained. + +###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? + +Yes. + +###### What happens if we reenable the feature if it was previously rolled back? + +Nothing, this only affects new requests and how these new request obtain the dynamically assigned ports. + + +###### Are there any tests for feature enablement/disablement? + +No need to add new test, current tests should keep working as today. + +### Rollout, Upgrade and Rollback Planning + +###### How can a rollout or rollback fail? Can it impact already running workloads? + +Current Services will not be affected, it doesn't matter in which range their port are allocated. +This only affects the creation of new NodePort Services without an port specified, there is no risk of impact on running workloads. + +###### What specific metrics should inform a rollback? + +There is currently no metric available for the NodePort allocation. so 4 metric should be added. + + - kube_apiserver_nodeport_allocator_allocated_ports + - kube_apiserver_nodeport_allocator_available_ports + - kube_apiserver_nodeport_allocator_allocation_total + - kube_apiserver_nodeport_allocator_allocation_errors_total + +###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? + +Since it is a purely in-memory feature the upgrade or downgrande doesn't have any impact. + +###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? +no + +### Monitoring Requirements + +Following allocator metrics have a new label to each metric containing information about the type of allocation requested (dynamic or static): + + - kube_apiserver_nodeport_allocator_allocation_total + - kube_apiserver_nodeport_allocator_allocation_errors_total + +The other allocator the metrics can not use the additional label because, when an port is released, there is not information on how the port was allocated. + + - kube_apiserver_nodeport_allocator_allocated_ports + - kube_apiserver_nodeport_allocator_available_ports + +###### How can an operator determine if the feature is in use by workloads? + +An operator will only observe that the change in behavior described for dynamically assigned NodePort for Services. + +###### How can someone using this feature know that it is working for their instance? + +- [ ] Events + - Event Reason: +- [ ] API .status + - Condition name: + - Other field: +- [X] Other (treat as last resort) + - Details: Create services without setting the nodePort and observe that all the services ports allocated belong the upper band of the range, and once the upper band is exhausted it keep assigning ports on the lower band until the whole range is exhausted. + +###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? + +N/A + +###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? + +- [ ] Metrics + - Metric name: + - [Optional] Aggregation method: + - Components exposing the metric: +- [ ] Other (treat as last resort) + - Details: + +###### Are there any missing metrics that would be useful to have to improve observability of this feature? + +This proposal adds 4 more metrics, and two of them is used to observe this feature. I think there is no any missing metrics should be added in feature. + +### Dependencies + +###### Does this feature depend on any specific services running in the cluster? + +No +### Scalability + +###### Will enabling / using this feature result in any new API calls? + +No +###### Will enabling / using this feature result in introducing new API types? + +No +###### Will enabling / using this feature result in any new calls to the cloud provider? + +No + +###### Will enabling / using this feature result in increasing size or count of the existing API objects? + +No +###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? + +No +###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? + +No + +###### Can enabling / using this feature result in resource exhaustion of some node resources (PIDs, sockets, inodes, etc.)? + +No + +### Troubleshooting + +###### How does this feature react if the API server and/or etcd is unavailable? + +N/A +###### What are other known failure modes? + +N/A + +###### What steps should be taken if SLOs are not being met to determine the problem? + +## Implementation History + +## Drawbacks + +## Alternatives diff --git a/keps/sig-network/3668-reserved-service-nodeport-range/kep.yaml b/keps/sig-network/3668-reserved-service-nodeport-range/kep.yaml new file mode 100755 index 000000000000..7261316646a1 --- /dev/null +++ b/keps/sig-network/3668-reserved-service-nodeport-range/kep.yaml @@ -0,0 +1,40 @@ +title: Reserve Nodeport Ranges For Dynamic And Static Port Allocation +kep-number: 3668 +authors: + - "@xuzhenglun" +owning-sig: sig-network +participating-sigs: +status: implementable +creation-date: 2022-11-30 +reviewers: +approvers: + - "@thockin" + - "@aojea" + +see-also: + - "/keps/sig-network/3070-reserved-service-ip-range" + +# The target maturity stage in the current dev cycle for this KEP. +stage: alpha + +# The most recent milestone for which work toward delivery of this KEP has been +# done. This can be the current (upcoming) milestone, if it is being actively +# worked on. +latest-milestone: "v1.27" + +# The milestone at which this feature was, or is targeted to be, at each stage. +milestone: + alpha: "v1.27" + beta: "v1.28" + stable: "v1.30" + +# The following PRR answers are required at alpha release +# List the feature gate name and the components for which it must be enabled +feature-gates: + - name: ServiceNodePortStaticSubrange + components: + - kube-apiserver +disable-supported: true + +# The following PRR answers are required at beta release +metrics: diff --git a/keps/sig-network/3705-cloud-node-ips/README.md b/keps/sig-network/3705-cloud-node-ips/README.md new file mode 100644 index 000000000000..7baba7274423 --- /dev/null +++ b/keps/sig-network/3705-cloud-node-ips/README.md @@ -0,0 +1,766 @@ +# KEP-3705: Cloud Dual-Stack --node-ip Handling + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [Goals](#goals) + - [Non-Goals](#non-goals) +- [Proposal](#proposal) + - [Risks and Mitigations](#risks-and-mitigations) +- [Design Details](#design-details) + - [Current behavior](#current-behavior) + - [Changes to --node-ip](#changes-to-) + - [Changes to the provided-node-ip annotation](#changes-to-the--annotation) + - [Changes to cloud providers](#changes-to-cloud-providers) + - [Example of --node-ip possibilities](#example-of--possibilities) + - [Test Plan](#test-plan) + - [Prerequisite testing updates](#prerequisite-testing-updates) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) + - [Graduation Criteria](#graduation-criteria) + - [Alpha](#alpha) + - [Beta](#beta) + - [GA](#ga) + - [Deprecation](#deprecation) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) + - [Feature Enablement and Rollback](#feature-enablement-and-rollback) + - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) + - [Monitoring Requirements](#monitoring-requirements) + - [Dependencies](#dependencies) + - [Scalability](#scalability) + - [Troubleshooting](#troubleshooting) +- [Implementation History](#implementation-history) +- [Drawbacks](#drawbacks) +- [Alternatives](#alternatives) + + +## Release Signoff Checklist + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +- [ ] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [ ] (R) KEP approvers have approved the KEP status as `implementable` +- [ ] (R) Design details are appropriately documented +- [ ] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [ ] e2e Tests for all Beta API Operations (endpoints) + - [ ] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [ ] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [ ] (R) Graduation criteria is in place + - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [ ] (R) Production readiness review completed +- [ ] (R) Production readiness review approved +- [ ] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + +Kubelet supports dual-stack `--node-ip` values for clusters with +no cloud provider (eg, "bare metal" clusters), but not for clusters +using a cloud provider. This KEP proposes to fix that. + +## Motivation + +### Goals + +- Allow administrators of clusters using external cloud providers to + override the cloud-selected node IPs in a more dual-stack-aware + manner: + + - Allow administrators to override a single node IP on a node in a + dual-stack cluster without causing the node to become + single-stack. + + - Allow administrators to override both node IPs on a node in a + dual-stack cluster. + + - Allow administrators to override the order of node IPs on a node + in a dual-stack cluster (ie, requesting that nodes be + IPv6-primary dual stack rather than IPv4-primary dual stack, or + vice versa). + + - Allow administrators to configure nodes to be single-stack when + the cloud provider suggests dual-stack, without needing to + provide a specific IPv4 or IPv6 node IP. + +- Define how kubelet will communicate these new intents to cloud + providers. + +- Update the code in `k8s.io/cloud-provider/node/helpers` to implement + the needed algorithms for the new behaviors. + +- Rename the `alpha.kubernetes.io/provided-node-ip` annotation, which + has not been alpha for a long time. + +### Non-Goals + +- Changing the behavior of nodes using legacy cloud providers. + +- Changing the node-IP-selection behavior in any currently-existing + Kubernetes cluster. This means that the default behavior when + `--node-ip` is not specified will remain the same, and the behavior + of any currently-allowed `--node-ip` value will remain the same. New + behavior will only be triggered by `--node-ip` values that would + have been rejected by kubelet in older clusters. + +- Adding the ability for nodes in clusters with cloud providers to use + node IPs that are not already known to the cloud provider. (In + particular, this implies that we will continue to not support + dual-stack nodes in clouds that do not themselves support + dual-stack.) + +- Improving the behavior of autodetecting the node IP in any other + ways. (Eg, being able to pass a CIDR rather than an IP.) There was + some discussion of ways we might do this in the abandoned [KEP-1664] + (which this KEP is a spiritual successor to), but if we want that, + it can be done later, independently of these changes. (These changes + were mostly desired in the context of non-cloud-provider clusters + anyway.) + +[KEP-1664]: https://github.com/kubernetes/enhancements/issues/1664 + +## Proposal + +### Risks and Mitigations + +As the intention is to not change the user-visible behavior except in +clusters where administrators explicitly make use of the new +functionality, there should be no risk of breaking existing clusters, +nor of surprising administrators by suddenly exposing node services on +unexpected IPs. + +## Design Details + +### Current behavior + +Currently, when `--cloud-provider` is passed to kubelet, kubelet +expects `--node-ip` to be either unset, or a single IP address. (If it +is unset, that is equivalent to passing `--node-ip 0.0.0.0`, which +means "autodetect an IPv4 address, or if there are no usable IPv4 +addresses, autodetect an IPv6 address".) + +If `--cloud-provider` and `--node-ip` are both specified (and +`--node-ip` is not "`0.0.0.0`" or "`::`"), then kubelet will add an +annotation to the node, `alpha.kubernetes.io/provided-node-ip`. Cloud +providers expect this annotation to conform to the current expected +`--node-ip` syntax (ie, a single value); if it does not, then they +will log an error and not remove the +`node.cloudprovider.kubernetes.io/uninitialized` taint from the node, +causing the node to remain unusable until kubelet is restarted with a +valid (or absent) `--node-ip`. + +When `--cloud-provider` is not passed, the `--node-ip` value can also +be a comma-separated pair of dual-stack IP addresses. However, unlike +in the single-stack case, the IPs in the dual-stack case are not +currently allowed to be "unspecified" IPs (ie `0.0.0.0` or `::`); you +can only make a (non-cloud) node be dual-stack if you explicitly +specify both IPs that you want it to use. + +### Changes to `--node-ip` + +The most obvious required change is that we need to allow +comma-separated dual-stack `--node-ip` values in clusters using +external cloud providers (but _not_ in clusters using legacy cloud +providers). + +Additionally, the fact that kubelet does not currently pass +"`0.0.0.0`" and "`::`" to the cloud provider creates a compatibility +problem: we would like for administrators to be able to say "use an +IPv6 node IP but I don't care which one" in cloud-provider clusters +like they can in non-cloud-provider clusters, but for compatibility +reasons, we can't change the existing behavior of "`--cloud-provider +external --node-ip ::`" (which doesn't do what it's "supposed to", but +does have possibly-useful side effects that have led some users to use +it anyway; see [kubernetes #111695].) + +So instead, we will add new syntax, and allow administrators to say +"`--node-ip IPv4`" or "`--node-ip IPv6`" if they want to explicitly +require that the cloud provider pick a node IP of a specific family. +(This also improves on the behavior of the existing "`0.0.0.0`" and +"`::`" options, because you almost never actually want the "or fall +back to the other family if there are no IPs of this family" behavior +that "`0.0.0.0`" and "`::`" imply.) + +Additionally, we will update the code to allow including "`IPv4`" and +"`IPv6`" in dual-stack `--node-ip` values as well (in both cloud and +non-cloud clusters). This code will have to check the status of the +feature gate until the feature is GA. + +[kubernetes #111695]: https://github.com/kubernetes/kubernetes/issues/111695 + +### Changes to the `provided-node-ip` annotation + +Currently, if the user passes an IP address to `--node-ip` which is +not recognized by the cloud provider as being a valid IP for that +node, kubelet will set that value in the `provided-node-ip` +annotation, and the cloud provider will see it, realize that the node +IP request can't be fulfilled, log an error, and leave the node in the +tainted state. + +It makes sense to have the same behavior if the user passes a "new" +(eg, dual-stack) `--node-ip` value to kubelet, but the cloud provider +does not recognize the new syntax and thus can't fulfil the request. +Conveniently, we can do this just by passing the dual-stack +`--node-ip` value in the existing annotation; the old cloud provider +will try to parse it as a single IP address, fail, log an error, and +leave the node in the tainted state, which is exactly what we wanted +it to do if it can't interpret the `--node-ip` value correctly. + +Therefore, we do not _need_ a new annotation for the new `--node-ip` +values; we can continue to use the existing annotation, assuming +existing cloud providers will treat unrecognized values as errors. + +That said, the existing annotation name is +`alpha.kubernetes.io/provided-node-ip` but it hasn't been "alpha" for +a long time. We should fix this. So: + + 1. When `--node-ip` is unset, kubelet should delete both the legacy + `alpha.kubernetes.io/provided-node-ip` annotation and the new + `kubernetes.io/provided-node-ip` annotation (regardless of + whether the feature gate is enabled or not, to avoid problems + with rollback and skew). + + 2. When the `CloudNodeIPs` feature is enabled and `--node-ip` is + set, kubelet will set both the legacy annotation and the new + annotation. (It always sets them both to the same value, even if + that's a value that old cloud providers won't understand). + + 2. When the `CloudNodeIPs` feature is enabled, the cloud provider + will use the new `kubernetes.io/provided-node-ip` annotation _if + the legacy alpha annotation is not set_. (But if both annotations + are set, it will prefer the legacy annotation, so as to handle + rollbacks correctly.) + + 3. A few releases after GA, kubelet can stop setting the legacy + annotation, and switch to unconditionally deleting it, and + setting/deleting the new annotation depending on whether + `--node-ip` was set or not. Cloud providers will also switch to + only using the new annotation, and perhaps logging a warning if + they see a node with the old annotation but not the new + annotation. + +Kubelet will preserve the existing behavior of _not_ passing +"`0.0.0.0`" or "`::`" to the cloud provider, even via the new +annotation. This is needed to preserve backward compatibility with +current behavior in clusters using those `--node-ip` values. However, +it _will_ pass "`IPv4`" and/or "`IPv6`" if they are passed as the +`--node-ip`. + +### Changes to cloud providers + +Assuming that all cloud providers use the `"k8s.io/cloud-provider"` +code to handle the node IP annotation and node address management, no +cloud-provider-specific changes should be needed; we should be able to +make the needed changes in the `cloud-provider` module, and then the +individual providers just need to revendor to the new version. + +### Example of `--node-ip` possibilities + +Assume a node where the cloud has assigned the IPs `1.2.3.4`, +`5.6.7.8`, `abcd::1234` and `abcd::5678`, in that order of preference. + +("SS" = "Single-Stack", "DS" = "Dual-Stack") + +| `--node-ip` value | New? | Annotation | Resulting node addresses | +|----------------------|------|------------------------|--------------------------| +| (none) | no | (unset) | `["1.2.3.4", "5.6.7.8", "abcd::1234", "abcd::5678"]` (DS IPv4-primary) | +| `0.0.0.0` | no | (unset) | `["1.2.3.4", "5.6.7.8", "abcd::1234", "abcd::5678"]` (DS IPv4-primary) | +| `::` | no | (unset) | `["1.2.3.4", "5.6.7.8", "abcd::1234", "abcd::5678"]` (DS IPv4-primary *) | +| `1.2.3.4` | no | `"1.2.3.4"` | `["1.2.3.4"]` (SS IPv4) | +| `9.10.11.12` | no | `"9.10.11.12"` | (error, because the requested IP is not available) | +| `abcd::5678` | no | `"abcd::5678"` | `["abcd::5678"]` (SS IPv6) | +| `1.2.3.4,abcd::1234` | yes* | `"1.2.3.4,abcd::1234"` | `["1.2.3.4", "abcd::1234"]` (DS IPv4-primary) | +| `IPv4` | yes | `"IPv4"` | `["1.2.3.4"]` (SS IPv4) | +| `IPv6` | yes | `"IPv6"` | `["abcd::1234"]` (SS IPv6) | +| `IPv4,IPv6` | yes | `"IPv4,IPv6"` | `["1.2.3.4", "abcd::1234"]` (DS IPv4-primary) | +| `IPv6,5.6.7.8` | yes | `"IPv6,5.6.7.8"` | `["abcd::1234", "5.6.7.8"]` (DS IPv6-primary) | +| `IPv4,abcd::ef01` | yes | `"IPv4,abcd::ef01"` | (error, because the requested IPv6 IP is not available) | + +Notes: + + - In the `--node-ip ::` case, kubelet will be expecting a + single-stack IPv6 or dual-stack IPv6-primary setup and so would + get slightly confused in this case since the cloud gave it a + dual-stack IPv4-primary configuration. (In particular, you would + have IPv4-primary nodes but IPv6-primary pods.) + + - `--node-ip 1.2.3.4,abcd::ef01` was previously valid syntax when + using no `--cloud-provider`, but was not valid for cloud kubelets. + +<<[UNRESOLVED multiple-addresses ]>> + +In the examples above, `--node-ip IPv4` means "pick any one IPv4 +address", not "use all IPv4 addresses". This seemed to me to be +consistent with the behavior when specifying a specific IP address (in +which case all other IPs of the same NodeAddressType are removed from +the list), but is inconsistent with the behavior of `--node-ip +0.0.0.0` / `--node-ip ::` with legacy cloud providers and bare metal +(where that affects the _sorting_ of IPs but does not do any +_filtering_). + +In past discussions (eg https://kep.k8s.io/1664, +https://issues.k8s.io/95768) no one has ever been entirely sure what +the point of having multiple node.status.addresses values is, and +there has never been a way to get multiple node.status.addresses +values (of the same IP family) on "bare metal", so that would tend to +prevent people from designing features that depended on multiple node +addresses. So it's not clear that there's really any downside in +filtering out the "unused" node IPs... + +<<[/UNRESOLVED]>> + +If the cloud only had IPv4 IPs for the node, then the same examples would look like: + +| `--node-ip` value | New? | Annotation | Resulting node addresses | +|----------------------|------|------------------------|--------------------------| +| (none) | no | (unset) | `["1.2.3.4", "5.6.7.8"]` (SS IPv4) | +| `0.0.0.0` | no | (unset) | `["1.2.3.4", "5.6.7.8"]` (SS IPv4) | +| `::` | no | (unset) | `["1.2.3.4", "5.6.7.8"]` (SS IPv4 *) | +| `1.2.3.4` | no | `"1.2.3.4"` | `["1.2.3.4"]` (SS IPv4) | +| `9.10.11.12` | no | `"9.10.11.12"` | (error, because the requested IP is not available) | +| `abcd::5678` | no | `"abcd::5678"` | (error, because the requested IP is not available) | +| `1.2.3.4,abcd::1234` | yes* | `"1.2.3.4,abcd::1234"` | (error, because the requested IPv6 IP is not available) | +| `IPv4` | yes | `"IPv4"` | `["1.2.3.4"]` (SS IPv4) | +| `IPv6` | yes | `"IPv6"` | (error, because no IPv6 IPs are available) | +| `IPv4,IPv6` | yes | `"IPv4,IPv6"` | (error, because no IPv6 IPs are available) | +| `IPv6,5.6.7.8` | yes | `"IPv6,5.6.7.8"` | (error, because no IPv6 IPs are available) | +| `IPv4,abcd::ef01` | yes | `"IPv4,abcd::ef01"` | (error, because the requested IPv6 IP is not available) | + +In this case, kubelet would be even more confused in the +`--node-ip ::` case, and some things would likely not work. +By contrast, with `--node-ip IPv6`, the user would get a clear error. + +### Test Plan + + + +[X] I/we understand the owners of the involved components may require updates to +existing tests to make this code solid enough prior to committing the changes necessary +to implement this enhancement. + +##### Prerequisite testing updates + + + +##### Unit tests + +Most of the changes will be in `k8s.io/cloud-provider/node/helpers`. +There will also be small changes in kubelet startup. + +- `k8s.io/kubernetes/pkg/kubelet`: `2023-01-30` - `66.9` +- `k8s.io/kubernetes/pkg/kubelet/nodestatus`: `2023-01-30` - `91.2` +- `k8s.io/kubernetes/vendor/k8s.io/cloud-provider/node/helpers`: `2023-01-30` - `31.7` +- `k8s.io/kubernetes/vendor/k8s.io/cloud-provider/node/helpers/address.go`: `2023-01-30` - `100` + +##### Integration tests + + + +``` +<<[UNRESOLVED integration ]>> + +I don't know what existing integration testing of kubelet and cloud +providers there is. Given unit tests for the new `--node-ip` parsing +and `node.status.addresses`-setting code, and e2e tests of some sort, +we probably don't need integration tests. + +<<[/UNRESOLVED]>> +``` + +- : + +##### e2e tests + + + +``` +<<[UNRESOLVED e2e ]>> + +I'm not sure how we currently handle cloud-provider e2e. GCP does not +support IPv6 and `kind` does not use a cloud provider, so we cannot +test the new code/behavior in any of the "core" e2e jobs. + +@aojea suggests we _could_ use `kind` with an external cloud provider. +This would presumably have to be a bespoke dummy cloud provider, but +since we are only doing this to test the new `k/cloud-provider` code, +having a mostly-dummied-out cloud provider should not be a problem? It +could perhaps have a default `NodeAddresses` return value of +", , +, ", and then we could +pass `--node-ip ,IPv6` to kubelet. If the cloud +provider did not receive and interpret the `--node-ip` value +correctly, then we would end up with node IPs that didn't work and the +test job should fail. + +<<[/UNRESOLVED]>> +``` + +- : + +### Graduation Criteria + +#### Alpha + +- New `--node-ip` handling and annotation implemented behind a feature flag +- Unit tests updated + +- Initial e2e tests completed and enabled? Unless maybe the e2e tests + will take a bunch of development work on either kind or the + cloud-provider CI infrastructure, in which case we might decide to + pass on e2e testing in Alpha? + +#### Beta + +- Positive feedback / no bugs +- At least one release after Alpha +- Decision made about whether `--node-ip IPv4` means 1 IPv4 IP or all IPv4 IPs +- e2e tests definitely completed and enabled if they weren't already in Alpha +- e2e test that new annotation gets cleared on rollback + +#### GA + +- Positive feedback / no bugs +- Two releases after Beta to allow time for feedback + +#### Deprecation + +- Two releases after GA, kubelet will stop setting the legacy + `alpha.kubernetes.io/provided-node-ip` annotation (and start + deleting it). Cloud providers will stop honoring the legacy + annotation. + +- (Two releases after that, we can remove the code to delete the + legacy annotation when present.) + +### Upgrade / Downgrade Strategy + +No behavioral changes will happen automatically on upgrade, or +automatically on feature enablement; users must opt in to the feature +by changing their kubelet configuration after upgrading the cluster to +a version that supports the new feature. + +On downgrade/disablement, it is necessary to revert the kubelet +configuration changes before downgrading kubelet, or kubelet will fail +to start after downgrade. + +### Version Skew Strategy + +- Old kubelet / old cloud provider: Kubelet will only set the old + annotation, and the cloud provider will only read the old + annotation. Everything works (even if there's a stale new annotation + left over from a cluster rollback). + +- Old kubelet / new cloud provider: Kubelet will only set the old + annotation. The cloud provider will read the old annotation, and + will interpret it in the same way an old cloud provider would + (because all `--node-ip` values accepted by an old kubelet are + interpreted the same way by both old and new cloud providers). + Everything works (even if there's a stale new annotation left over + from a kubelet rollback, because the new cloud provider still + prefers the old annotation). + +- New kubelet, single-stack `--node-ip` value / old cloud provider: + Kubelet will set both annotations (to the same value). The cloud + provider will read the old annotation. Everything works, because + this is an "old" `--node-ip` value, and the old cloud provider knows + how to interpret it correctly. + +- New kubelet, dual-stack `--node-ip` value / old cloud provider: + Kubelet will set both annotations (to the same value). The cloud + provider will read the old annotation, but it will _not_ know how to + interpret it because it's a "new" value. So it will log an error and + leave the node tainted. (This is the desired result, since the cloud + provider is not able to obey the `--node-ip` value the administrator + provided.) + +- New kubelet / new cloud provider: Kubelet will set both annotations + (to the same value). The cloud provider will read the old + annotation, and will know how to interpret it regardless of whether + it's an "old" or "new" value. Everything works. + +- Future (post-GA) kubelet / GA cloud provider: Kubelet will set + the new annotation, and delete the old annotation if present. The + cloud provider will see that only the new annotation is set, and so + will use that. Everything works (even if there had been a stale old + annotation left over from the upgrade). + +- GA kubelet / Future (post-GA) cloud provider: Kubelet will set + both annotations (to the same value). The cloud provider will only + look at the new annotation. Everything works. + +- Future (post-GA) kubelet / Future (post-GA) cloud provider: Kubelet + will set the new annotation, and delete the old annotation if + present. The cloud provider will only look at the new annotation. + Everything works. + +## Production Readiness Review Questionnaire + +### Feature Enablement and Rollback + +###### How can this feature be enabled / disabled in a live cluster? + +- [X] Feature gate (also fill in values in `kep.yaml`) + - Feature gate name: CloudNodeIPs + - Components depending on the feature gate: + - kubelet + - cloud-controller-manager + +###### Does enabling the feature change any default behavior? + +Kubelet will begin setting two annotations on each node rather than +one. However, cloud providers will still prefer the old annotation and +will only read the new annotation if the old one isn't there. + +So assuming no bugs, the only visible change after (just) enabling the +feature is the duplicate annotation. + +###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? + +Yes, as long as you also roll back the kubelet configuration to no +longer use the new feature. + +One edge case: if a user who was not previously setting `--node-ip` +upgrades, enables the feature, starts using `--node-ip`, and then +rolls back the kubelet and its configuration but _not_ the cloud +provider, then they will end up with a node that has a stale "new" +annotation (with the `--node-ip` value they had been using while +upgraded), but no "old" annotation (because the rolled-back kubelet +configuration no longer specifies `--node-ip` so kubelet will delete +the old annotation). The (not-rolled-back) cloud provider will then +mistake this as being the future rather than the past, assuming +kubelet intentionally set only the new annotation and not the old +annotation, and so it will obey the (stale) new annotation. + +That could be prevented by stretching out the feature enablement over +a few more releases, and not having the cloud-provider switch from +"always use the old annotation" to "prefer the old annotation when +it's set but use the new annotation if it's the only one" until a few +releases later. If we were going to do that, then perhaps we should +split the annotation renaming into a separate KEP from the dual-stack +`--node-ip` handling, so that the edge cases of the annotation +renaming don't have to slow down the dual-stack `--node-ip` adoption. + +###### What happens if we reenable the feature if it was previously rolled back? + +It works. + +###### Are there any tests for feature enablement/disablement? + +TBD; we should have a test that the annotation is cleared on rollback + +### Rollout, Upgrade and Rollback Planning + + + +###### How can a rollout or rollback fail? Can it impact already running workloads? + + + +###### What specific metrics should inform a rollback? + + + +###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? + + + +###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? + + + +### Monitoring Requirements + + + +###### How can an operator determine if the feature is in use by workloads? + +The operator is the one who would be using the feature (and they can +tell by looking at the kubelet configuration to see if a "new" +`--node-ip` value was passed). + +###### How can someone using this feature know that it is working for their instance? + +The Node will have the IPs they expect it to have. + +- [X] API .status + - Other field: node.status.addresses + +###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? + +N/A. This changes the startup behavior of Nodes (and does not affect +startup speed). There is no ongoing "service". + +###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? + +N/A. This changes the startup behavior of Nodes (and does not affect +startup speed). There is no ongoing "service". + +###### Are there any missing metrics that would be useful to have to improve observability of this feature? + +No + +### Dependencies + + + +###### Does this feature depend on any specific services running in the cluster? + +The feature depends on kubelet/cloud provider communication, but it is +just an update to an existing feature that already depends on +kubelet/cloud provider communication. It does not create any +additional dependencies, and it does not add any new failure modes if +either component fails. + +### Scalability + +###### Will enabling / using this feature result in any new API calls? + +No + +###### Will enabling / using this feature result in introducing new API types? + +No + +###### Will enabling / using this feature result in any new calls to the cloud provider? + +No + +###### Will enabling / using this feature result in increasing size or count of the existing API objects? + +Not really. Kubelet will now create two node-IP-related annotations on +each Node rather than just one, and the value of the annotation may +be slightly larger (eg because it now contains two IP addresses rather +than one), and some users may change their `--node-ip` to take +advantage of the new functionality in a way that would cause more node +IPs to be exposed in `node.status.addresses` than before. + +###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? + +No + +###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? + +No + +### Troubleshooting + + + +###### How does this feature react if the API server and/or etcd is unavailable? + +It does not add any new failure modes. (The kubelet and cloud provider +use an annotation and an object field to communicate with each other, +but they _already_ do that. And the failure mode there is just +"updates don't get processed until the API server comes back".) + +###### What are other known failure modes? + + + +###### What steps should be taken if SLOs are not being met to determine the problem? + +N/A: there are no SLOs. + +## Implementation History + +- Initial proposal: 2022-12-30 + +## Drawbacks + +The status quo is slightly simpler, but some people need the +additional functionality. + +## Alternatives + +In the discussion around [KEP-1664] there was talk of replacing +`--node-ip` with a new `--node-ips` (plural) field, but this was +mostly because the behavior of `--node-ip` in clusters with external +cloud providers was incompatible with the behavior of `--node-ip` in +clusters with legacy or no cloud providers and I wasn't sure if we +could get away with changing it to make it consistent. However, +[kubernetes #107750] did just that already, so there's now nothing +standing in the way of synchronizing the rest of the behavior. + +[KEP-1664]: https://github.com/kubernetes/enhancements/issues/1664 +[kubernetes #107750]: https://github.com/kubernetes/kubernetes/pull/107750 diff --git a/keps/sig-network/3705-cloud-node-ips/kep.yaml b/keps/sig-network/3705-cloud-node-ips/kep.yaml new file mode 100644 index 000000000000..ec689cb80ac7 --- /dev/null +++ b/keps/sig-network/3705-cloud-node-ips/kep.yaml @@ -0,0 +1,49 @@ +title: Cloud Dual-Stack --node-ip Handling +kep-number: 3705 +authors: + - "@danwinship" +owning-sig: sig-network +participating-sigs: + - sig-node + - sig-cloud-provider +status: implementable +creation-date: 2022-11-29 +reviewers: + - "@aojea" + - "@JoelSpeed" + - "@mdbooth" + - "@khenidak" + - "@thockin" +approvers: + - "@thockin" + - TBD from sig-cloud-provider + +see-also: + - "https://github.com/kubernetes/enhancements/issues/1664" + - "https://github.com/kubernetes/enhancements/pull/1665" + +# The target maturity stage in the current dev cycle for this KEP. +stage: alpha + +# The most recent milestone for which work toward delivery of this KEP has been +# done. This can be the current (upcoming) milestone, if it is being actively +# worked on. +latest-milestone: "v1.27" + +# The milestone at which this feature was, or is targeted to be, at each stage. +milestone: + alpha: "v1.27" + beta: "v1.28" + stable: "v1.29" + +# The following PRR answers are required at alpha release +# List the feature gate name and the components for which it must be enabled +feature-gates: + - name: CloudNodeIPs + components: + - kubelet + - cloud-controller-manager +disable-supported: true + +# The following PRR answers are required at beta release +metrics: diff --git a/keps/sig-network/3726-standard-application-protocols/README.md b/keps/sig-network/3726-standard-application-protocols/README.md new file mode 100644 index 000000000000..86e31a583f89 --- /dev/null +++ b/keps/sig-network/3726-standard-application-protocols/README.md @@ -0,0 +1,294 @@ +# KEP-3726: Standard Application Protocols + + + + + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [Goals](#goals) + - [Non-Goals](#non-goals) +- [Proposal](#proposal) + - [New Standard Protocols](#new-standard-protocols) + - [Risks and Mitigations](#risks-and-mitigations) +- [Design Details](#design-details) + - [Adding new protocols](#adding-new-protocols) + - [Followup work](#followup-work) + - [Documentation change](#documentation-change) + - [Test Plan](#test-plan) + - [Graduation Criteria](#graduation-criteria) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) + - [Feature Enablement and Rollback](#feature-enablement-and-rollback) + - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) + - [Monitoring Requirements](#monitoring-requirements) + - [Dependencies](#dependencies) + - [Scalability](#scalability) + - [Troubleshooting](#troubleshooting) +- [Implementation History](#implementation-history) +- [Drawbacks](#drawbacks) +- [Alternatives](#alternatives) + + +## Release Signoff Checklist + + + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +- [x] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [x] (R) KEP approvers have approved the KEP status as `implementable` +- [x] (R) Design details are appropriately documented +- [x] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [x] e2e Tests for all Beta API Operations (endpoints) + - [x] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [x] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [x] (R) Graduation criteria is in place + - [x] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [x] (R) Production readiness review completed +- [x] (R) Production readiness review approved +- [x] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + + + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + +There are cases where implementations implement different things for the same application protocol names. That has already caused issues for certain implementations to interoperate, with the possibility of more in the future. (See the example with GKE and Istio under [Motivation](#motivation)) + +This KEP suggests a different description for the `AppProtocol` field and proposes to declare standard Kubernetes protocol names for common protocols that are not IANA service names. + + +## Motivation + +The lack of direct support for specifying application protocols for ports and the widespread use of implementation-specific annotations to mitigate it had led Kubernetes to add the `AppProtocol` field to the port spec. + +While this is a good solution - we never came with recommended standards other than [IANA standard service names](https://www.iana.org/assignments/service-names) or a domain prefixed protocol. + +This loose definition has led us to; +1. Have instances where implementations do different things for common protocols. +2. Have no support for implementations interoperability with different domain prefixed protocols (or a mix domain prefixed and non prefixed protocol) for the same port. + +One good example for the first bullet is `HTTP2`. +* In GKE you can use `appProtocol: HTTP2` and it will describe HTTP2 over TLS (https://cloud.google.com/kubernetes-engine/docs/how-to/secure-gateway#load-balancer-tls). +* While in Istio it will be h2c (HTTP2 over cleartext). + +That creates a problem where users with GKE and Istio in their cluster can have very different behaviors for the same `appProtocol` value. + + +### Goals + +* Rephrase AppProtocol field description +* Build consensus around how common (non IANA service names) should be implemented +* Help the broader community and specifically implementations to interoperate better +* Provide short and clear documentation for how AppProtocol values should be implemented + * Update the appProtocol user documentation respectively + + +### Non-Goals + +* Validate appProtocol values +* Monitor appProtocol implementations +* Support multiple AppProtocols values for the same port to improve interoperability (suggested as a followup work though) + + +## Proposal + +~~Kubernetes supports the `appProtocol` field to provide a way to specify an application protocol for each Service port.~~ + +Kubernetes `appProtocol` field is used as a hint for implementations to configure the protocol used between the implementation and the application it exposes. + +The [documentation](https://kubernetes.io/docs/concepts/services-networking/service/#application-protocol) for this field says that: + +```Values should either be IANA standard service names or domain prefixed names such as mycompany.com/my-custom-protocol.``` + +This KEP proposes to declare standard Kubernetes protocol names for common protocols that are not IANA standard service names. + +Those common protocols will be well defined strings prefixed with ‘k8s.io’. +`k8s.io/h2c` as an example. + +### New Standard Protocols +- 'k8s.io/http2' +- 'k8s.io/grpc' +- 'k8s.io/tcp' + +### Risks and Mitigations + +There are no real “risks”, primary concerns are: +1. End users will not migrate to `k8s.io/<>` values +2. It will take long time to implementations align with the new standards +3. We have no easy way to monitor who is aligned and who is not + + +## Design Details + +At first, the collection of standard protocols is going to live in `ServicePort` and `EndpointPort` as part of the AppProtocol description. + +We might revisit this decision in the future and suggest an alternative location based on the number of standard protocols we support. + +Proposed changes to the API spec: + +```go +type ServicePort struct { + ... + ... + + // Used as a hint for implementations to + // configure the protocol used between the + // implementation and the application it exposes. + // This field follows standard Kubernetes label syntax. + // Valid values are either: + // + // * Un-prefixed protocol names - reserved for IANA standard service names (as per + // RFC-6335 and https://www.iana.org/assignments/service-names). + // + // * Kubernetes standard names: + // * 'k8s.io/http2' - http2 over cleartext, aka 'h2c'. https://www.rfc-editor.org/rfc/rfc7540 + // * 'k8s.io/grpc' - grpc traffic - see https://github.com/grpc/grpc/blob/v1.51.1/doc/PROTOCOL-HTTP2.md + // * 'k8s.io/tcp' - plain tcp traffic + // + // * Other protocols should use prefixed names such as + // mycompany.com/my-custom-protocol. + // +optional + AppProtocol *string +``` + +same wording for type `EndpointPort` + +### Adding new protocols + +In order to be included in the collection, a new protocol must: +* Not be an [IANA standard service name](https://www.iana.org/assignments/service-names) +* Run on top of L4 protocol supported by Kubernetes Service +* Be supported in two or more implementations +* Be well defined and broadly used + +<<[UNRESOLVED sig-network ]>> + +if we require two implementations to support a protocol before we include it in the standard collection (i.e k8s.io prefixed collection) we create a situation where we force them to support their own domain prefixed values and k8s.io-prefixed values, have their users migrate to the k8s.io values once they are included, and also the k8s.io ones might end up not be quite the same definition as the implementation specific ones (as we see in the GKE & Istio example). + +The proposed followup work might address this problem also when we turn the field into a list + +<<[/UNRESOLVED]>> + + +### Followup work +To support implementations interoperability with different domain prefixed protocols (or a mix domain prefixed and non prefixed protocol) for the same port we need to turn `AppProtocol` to a list. + +It is likely to be an API change but design details TBD. + +### Documentation change + +[kubernetes website](https://github.com/kubernetes/website/blob/main/content/en/docs/concepts/services-networking/service.md#application-protocol) will be changed accordingly + +### Test Plan + +N/A + +This KEP does not plan to change code, just documentation. + +### Graduation Criteria + +### Upgrade / Downgrade Strategy + +N/A + +This KEP does not plan to change code, just documentation. + +### Version Skew Strategy + +N/A + +This KEP does not plan to change code, just documentation. + +## Production Readiness Review Questionnaire + + +### Feature Enablement and Rollback + +N/A + +This KEP does not plan to change code, just documentation. + + +### Rollout, Upgrade and Rollback Planning + +N/A + +This KEP does not plan to change code, just documentation. + +### Monitoring Requirements + +N/A + +This KEP does not plan to change code, just documentation. + +### Dependencies + +N/A + +This KEP does not plan to change code, just documentation. + +### Scalability + +N/A + +This KEP does not plan to change code, just documentation. + +### Troubleshooting + +N/A + +This KEP does not plan to change code, just documentation. + +## Implementation History + +N/A + +## Drawbacks + +* The collection of the standard protocols can become stale fairly quick when new protocols are implemented before we decide to declare them as part of k8s.io common collection. That can lead to a the current state again where implementations already implement support without a prefix (although they should not) OR with a domain prefix. + + +## Alternatives + + diff --git a/keps/sig-network/3726-standard-application-protocols/kep.yaml b/keps/sig-network/3726-standard-application-protocols/kep.yaml new file mode 100644 index 000000000000..c7790c3781a0 --- /dev/null +++ b/keps/sig-network/3726-standard-application-protocols/kep.yaml @@ -0,0 +1,34 @@ +title: KEP Template +kep-number: 3726 +authors: + - "@LiorLieberman" +owning-sig: sig-network + +status: provisional +creation-date: 2023-01-11 +reviewers: + - "@aojea" + - "@robscott" + - "@howardjohn" + - "@danwinship" +approvers: + - "@thockin" + +# The target maturity stage in the current dev cycle for this KEP. +stage: stable + +# The most recent milestone for which work toward delivery of this KEP has been +# done. This can be the current (upcoming) milestone, if it is being actively +# worked on. +latest-milestone: "v1.27" + +# The milestone at which this feature was, or is targeted to be, at each stage. +milestone: + stable: "v1.27" + +see-also: [] +replaces: [] + +feature-gates: [] +disable-supported: false +metrics: [] diff --git a/keps/sig-node/2133-kubelet-credential-providers/README.md b/keps/sig-node/2133-kubelet-credential-providers/README.md index 1e3b95777169..3f7ac42d3a79 100644 --- a/keps/sig-node/2133-kubelet-credential-providers/README.md +++ b/keps/sig-node/2133-kubelet-credential-providers/README.md @@ -48,10 +48,10 @@ Items marked with (R) are required *prior to targeting to a milestone / release* - [X] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input - [X] (R) Graduation criteria is in place - [X] (R) Production readiness review completed -- [ ] Production readiness review approved -- [ ] "Implementation History" section is up-to-date for milestone -- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] -- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes +- [X] Production readiness review approved +- [X] "Implementation History" section is up-to-date for milestone +- [X] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [X] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes +# KEP-3673: Kubelet limit of Parallel Image Pulls + + + + + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [QPS/burst limits on kubelet are confusing](#qpsburst-limits-on-kubelet-are-confusing) + - [No way to limit the number of inflight image pulls](#no-way-to-limit-the-number-of-inflight-image-pulls) + - [Goals](#goals) + - [Non-Goals](#non-goals) +- [Proposal](#proposal) + - [User Stories (Optional)](#user-stories-optional) + - [Story 1](#story-1) + - [Notes/Constraints/Caveats (Optional)](#notesconstraintscaveats-optional) + - [Risks and Mitigations](#risks-and-mitigations) +- [Design Details](#design-details) + - [Test Plan](#test-plan) + - [Prerequisite testing updates](#prerequisite-testing-updates) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) + - [Graduation Criteria](#graduation-criteria) + - [Alpha](#alpha) + - [Beta](#beta) + - [GA](#ga) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) + - [Feature Enablement and Rollback](#feature-enablement-and-rollback) + - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) + - [Monitoring Requirements](#monitoring-requirements) + - [Dependencies](#dependencies) + - [Scalability](#scalability) + - [Troubleshooting](#troubleshooting) +- [Implementation History](#implementation-history) +- [Drawbacks](#drawbacks) +- [Alternatives](#alternatives) +- [Infrastructure Needed (Optional)](#infrastructure-needed-optional) + + +## Release Signoff Checklist + + + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +- [ ] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [ ] (R) KEP approvers have approved the KEP status as `implementable` +- [ ] (R) Design details are appropriately documented +- [ ] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [ ] e2e Tests for all Beta API Operations (endpoints) + - [ ] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [ ] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [ ] (R) Graduation criteria is in place + - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [ ] (R) Production readiness review completed +- [ ] (R) Production readiness review approved +- [ ] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + + + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + + + +This KEP proposes adding to kubelet a node-level limit on the number of parallel image pulls. + +## Motivation + + + +### QPS/burst limits on kubelet are confusing +Currently kubelet limits image pulls with QPS and burst, but they are confusing as they only limit the number of requests sent to container runtime, and does not consider the number of inflight image pulls. In other words, even a small QPS is set, there still could be many image pulls in progress in parallel, if each pull takes a long time. See [issue #112044](https://github.com/kubernetes/kubernetes/issues/112044) as an example. + + +### No way to limit the number of inflight image pulls +A user might want to put a limit on the number of images being pulled at the same time to avoid burden on disk IO or consuming too much network bandwidth. However, currently neither kubelet or containerd limits the number of inflight image pulls. + +On kubelet, as mentioned above, the QPS/burst limit does not take the in-progress pulls into account. On containerd, there is only [a per-image limit](https://github.com/containerd/containerd/blob/8e787543deede10f372b0e16ad5c07790fc680b6/pkg/cri/config/config.go#L299-L300), which only limits the number of parallel layer downloading for each image, but potentially allows unlimited number downloads overall. + +As a side node, cri-o has a configuration to limit the maximum layer downloads in-progress. + + +### Goals + + + +Adding a node-level limit of parallel image pulls to kubelet. This limit will limit the maximum number of images being pulled in parallel. Any image pull request beyond the limit will be blocked until one image pull finishes. + + +### Non-Goals + + + +* Limiting the number of image layers being downloaded at the same time. +* Prioritizing image pulls in any way. +* Using the number of inflight image pulls as a signal to direct pod scheduling. + +## Proposal + + +* A new integer field `maxParallelImagePulls` will be added to Kubelet Configuration. `maxParallelImagePulls` is the maximum number of inflight image pulls. +* The default value of `maxParallelImagePulls` will be set to 0, which applies no limit on parallel pulls, the same as current behavior. +* When `serialize-image-pulls` is true, `maxParallelImagePulls` will be ignored. A warning message will be logged by kubelet if `serialize-image-pulls` is true and `maxParallelImagePulls` is larger than 1. + +### User Stories (Optional) + + + +#### Story 1 +A kubernetes user wants to enable parallel image pulls to reduce workload startup latency, but they don't want too many images to be pulled at the same time, as that might burden the disk IO and therefore has a negative impact on disk performance, or might use too much network bandwidth. By setting a proper `maxParallelImagePulls`, they will have a better control over the parallelism and therefore avoid overwhelming the disk. + + +### Notes/Constraints/Caveats (Optional) + + + +### Risks and Mitigations + + + +Since this feature is purely in-memory, if kubelet restarts, it will lose track of the image pulls before the Kubelet restart. It seems that even on non-graceful shutdown of kubelet, in-flight image pulls are cancelled, but there might be some corner cases when previous image pulls may still be performed after restart, exceeding the total of `maxParallelImagePulls`. + +## Design Details + + + +* The implementation will be similar to the existing `serialImagePuller`. More specifically: + * `maxParallelImagePulls` will be passed to [parallelImagePuller](https://github.com/kubernetes/kubernetes/blob/054ceab58d803df0c4910fa722138f0ed2d94701/pkg/kubelet/images/puller.go#L41), and `parallelImagePuller` will create a channel of the size of `maxParallelImagePulls`. + * `parallelImagePuller.pullImage` will simply try to send the pull request to the channel, and will be blocked if the channel is full. + * A go routine will keep processing the requests in the channel. + +### Test Plan + + + +[ ] I/we understand the owners of the involved components may require updates to +existing tests to make this code solid enough prior to committing the changes necessary +to implement this enhancement. + +##### Prerequisite testing updates + + + +None. + +##### Unit tests + + + + + +New unit test will be added to image_manager_test.go. +- `k8s.io/kubernetes/pkg/kubelet/images/puller.go`: `01/05/2023` - `100.0` + +##### Integration tests + + + +See e2e tests section below. + +- : + +##### e2e tests + + + +A new node_e2e test with `serialize-image-pulls==false` will be added to make sure that when maxParallelImagePulls is reached, all further image pulls will be blocked. + +- : + +### Graduation Criteria + +#### Alpha +- Initial e2e tests completed and enabled + +#### Beta +- Gather feedback from developers and surveys + +#### GA +- Gather feedback from real-world usage from kubernetes vendors. +- Allowing time for feedback. + + + +### Upgrade / Downgrade Strategy + + +N/A + +### Version Skew Strategy + + +N/A + +## Production Readiness Review Questionnaire + + + +### Feature Enablement and Rollback + + + +###### How can this feature be enabled / disabled in a live cluster? + + + +- [X] Other + - Describe the mechanism: The feature will be enabled when the kubelet config field `maxParallelImagePulls` is set to a non-zero value on kubelet, can be disabled by setting `maxParallelImagePulls` to 0 and restarting kubelet. + - Will enabling / disabling the feature require downtime of the control + plane? + - No + - Will enabling / disabling the feature require downtime or reprovisioning + of a node? (Do not assume `Dynamic Kubelet Config` feature is enabled). + - Yes, it requires restarting kubelet. + +###### Does enabling the feature change any default behavior? + + + +The change itself will not change any default behavior. The default behavior will only be changed when the user explicityly sets `maxParallelImagePulls` to a non-zero value. + +###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? + + +The code change itself cannot be rolled back. But a user can roll back to the existing default behavior by setting `maxParallelImagePulls` to 0, or not setting it and letting it default to 0. + + +###### What happens if we reenable the feature if it was previously rolled back? + +Nothing will happen. + +###### Are there any tests for feature enablement/disablement? + +This feature is purely in-memory, so such test isn't really needed. + + + +### Rollout, Upgrade and Rollback Planning + + + +###### How can a rollout or rollback fail? Can it impact already running workloads? + + + +###### What specific metrics should inform a rollback? + + + +###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? + + + +###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? + + + +### Monitoring Requirements + + + +###### How can an operator determine if the feature is in use by workloads? + + + +###### How can someone using this feature know that it is working for their instance? + + + +- [ ] Events + - Event Reason: +- [ ] API .status + - Condition name: + - Other field: +- [ ] Other (treat as last resort) + - Details: + +###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? + + + +###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? + + + +- [ ] Metrics + - Metric name: + - [Optional] Aggregation method: + - Components exposing the metric: +- [ ] Other (treat as last resort) + - Details: + +###### Are there any missing metrics that would be useful to have to improve observability of this feature? + + + +### Dependencies + + + +###### Does this feature depend on any specific services running in the cluster? + + + +### Scalability + + + +###### Will enabling / using this feature result in any new API calls? + + + +No. + +###### Will enabling / using this feature result in introducing new API types? + + + +No. + +###### Will enabling / using this feature result in any new calls to the cloud provider? + + + +No. + +###### Will enabling / using this feature result in increasing size or count of the existing API objects? + + + +No. + +###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? + + + +No. + +###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? + + + +No. + +### Troubleshooting + + + +###### How does this feature react if the API server and/or etcd is unavailable? + +###### What are other known failure modes? + + + +###### What steps should be taken if SLOs are not being met to determine the problem? + +## Implementation History + + + +## Drawbacks + + + +## Alternatives + + + +## Infrastructure Needed (Optional) + + diff --git a/keps/sig-node/3673-kubelet-parallel-image-pull-limit/kep.yaml b/keps/sig-node/3673-kubelet-parallel-image-pull-limit/kep.yaml new file mode 100644 index 000000000000..bb44ef069745 --- /dev/null +++ b/keps/sig-node/3673-kubelet-parallel-image-pull-limit/kep.yaml @@ -0,0 +1,26 @@ +title: KEP Template +kep-number: 3673 +authors: + - "@pacoxu" + - "@Ruiwen-Zhao" +owning-sig: sig-node +status: implementable +creation-date: 2023-01-05 +reviewers: + - "@SergeyKanzhelev" +approvers: + - "@mrunalp" + +# The target maturity stage in the current dev cycle for this KEP. +stage: alpha + +# The most recent milestone for which work toward delivery of this KEP has been +# done. 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--git a/keps/sig-node/3675-resource-plugin-manager/README.md b/keps/sig-node/3675-resource-plugin-manager/README.md new file mode 100644 index 000000000000..82110162626f --- /dev/null +++ b/keps/sig-node/3675-resource-plugin-manager/README.md @@ -0,0 +1,1319 @@ + +# KEP-3675: Pluggable Resource Management +Container Compute Interface (CCI) Driver Extension + + + + + + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [Goals](#goals) + - [Alpha Goals](#alpha-goals) + - [Beta & Post-Beta Goals](#beta--post-beta-goals) + - [Non-Goals](#non-goals) + - [Not In Scope for Alpha](#not-in-scope-for-alpha) +- [Proposal](#proposal) + - [User Stories](#user-stories) + - [Custom workloads, such as HPC/AI/ML](#custom-workloads-such-as-hpcaiml) + - [Power optimization of workloads](#power-optimization-of-workloads) + - [Research of new resource management patterns within the cloud](#research-of-new-resource-management-patterns-within-the-cloud) + - [User-specific plugins](#user-specific-plugins) + - [Notes/Constraints/Caveats (Optional)](#notesconstraintscaveats-optional) + - [Risks and Mitigations](#risks-and-mitigations) +- [Design Details](#design-details) + - [Compute Specification Option](#compute-specification-option) + - [Example 1: Attributed-based resource specification](#example-1-attributed-based-resource-specification) + - [Example 2.: Policy-based resource specification](#example-2-policy-based-resource-specification) + - [Resource Manager Architecture](#resource-manager-architecture) + - [Allocation & Container Removal Flow](#allocation--container-removal-flow) + - [Test Plan](#test-plan) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) + - [Graduation Criteria](#graduation-criteria) + - [Alpha to Beta](#alpha-to-beta) + - [Beta to GA](#beta-to-ga) + - [Deprecation](#deprecation) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) + - [Feature Enablement and Rollback](#feature-enablement-and-rollback) + - [Operational Requirements for Alpha:](#operational-requirements-for-alpha) + - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) + - [Monitoring Requirements](#monitoring-requirements) + - [Dependencies](#dependencies) + - [Scalability](#scalability) + - [Troubleshooting](#troubleshooting) +- [Implementation History](#implementation-history) +- [Drawbacks](#drawbacks) +- [Alternatives](#alternatives) +- [Infrastructure Needed](#infrastructure-needed) + + +## Release Signoff Checklist + + + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +- [ ] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [ ] (R) KEP approvers have approved the KEP status as `implementable` +- [ ] (R) Design details are appropriately documented +- [ ] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [ ] e2e Tests for all Beta API Operations (endpoints) + - [ ] (R) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [ ] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [ ] (R) Graduation criteria is in place + - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [ ] (R) Production readiness review completed +- [ ] (R) Production readiness review approved +- [ ] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + + + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + + + +The authors have taken inspiration from the [CSI development](https://github.com/kubernetes/design-proposals-archive/blob/main/storage/container-storage-interface.md). +Kubernetes compute management is tightly integrated with the Kubelet and the +existing suite of resources managers including the topology manager, CPU manager, +memory manager, and device manager. While these managers have added functionality that +has addressed a varied set of use cases, they do present the community with several challenges. + +Adding a new capability to one of these managers is slow moving and difficult +due to their complex interactions, the level of prudence required given the potential +impacts, the implied necessity to make the extension work in as many scenarios as +possible, as well as the overhead heaped onto the sig-node maintainers. More +details on the challenges discussed with the community have been captured in +the [CPU Management Kubelet Use Cases & Current State document](https://docs.google.com/document/d/1U4jjRR7kw18Rllh-xpAaNTBcPsK5jl48ZAVo7KRqkJk). + +As a result, adding optimizations necessary to support some more niche use cases, +to improve total cost of ownership for deployments with more exacting requirements +on resources or to provide a mechanism to progressively roll-out the benefits of +innovations related to newer CPU architectures is difficult and high cost to community resources. + +This proposal aims to address the challenges by introducing a new Container Compute +Interface (CCI). The CCI is conceptually equivalent to the CSI in that it will +delineate between the responsibility of the Kubelet and lower-level responsibility +of compute focused plugins for resource assignment capabilities, such CPU and memory. + +We are propsing an iterative implementation approach: in the first stage (alpha) we +propose to guarantee the exclusive operation of CCI Manager on cpu and memory resources +through a feature gate and a requirement to have CPU Manager Policy as None. All pods will be handled +by the new CCI Manager. This will allow us to avoid state synchronization issues with cpu manager. +To avoid the bootstrapping and driver-unavailability problems of CCI we propose to +use best-effort handling of those cases in the alpha state of the implementation augmented with additional logging. + +In a later phase of the implementation we can provide a proper mechanism to handle driver unavailability cases. +Given the existing Kubelet CPU/memory manager capabilities and their usefulness +for many scenario, we would also like to consider if resource management for certain pods have to be handled without drivers and if we need +to associate specific pods with CCI Drivers (association mechanisms will be investigated in +later phase). + +The implication of CCI and the addition of the proposed CCI plugin manager +will be to allow compute capabilities such as CPU and memory to be managed outside +of the Kubelet via pluggable CCI Drivers. This will allow users to augment the +current implementation of Kubelet managed resources with support for more complex +use-cases without having to modify the Kubelet. The CCI extensions can coexist +with the existing CPU and memory allocation technique available to Kubernetes users today. + +These changes will allow the community to disaggregate the long-term +stability and advancement of the Kubelet from the task of improving the compute +resource management while keeping pace with the needs of +specialized use cases and the advancements in the compute vendor ecosystem. + + + +## Motivation + + + +Users have varied workloads; the current set of available configurations +for CPU, memory, and topology remain limited. Additionally, the number of managers +becoming internal to the Kubelet continues to increase; we should find a more +dynamic and pluggable way of handling these resources. + +Operating systems work by allowing drivers and pluggable resources. This includes various +policies in how cpu, memory, and devices are allocated. Kubernetes can be viewed as being +an the operating system of the cloud. Allowing specialty modules to address the use cases +directly, rather than continuing to add complexity by continuing to modify the kubelet, +will allow the greatest scope of abilities while halting continued increases of complexity +within the core of the Kubelet. + +Users would like to be able to address the following use cases: + +* The ability to allow vendors to release vendor-specific managers for their hardware + and provide an interface while not having vendor-specific code within Kubelet. +* Differentiate between types of cores and memory.
+ Note - Dynamic resouce allocation does this with regular resources today. We seek to + extend this ability. +* Differentiate between different configurations of cores and memory, for instance cores + designated as performance versus those designated as efficiency cores +* Have custom plugins to optimize for particular types of workloads. These plugins + may be built for performance, power reduction, cpu savings, et cetera.
+ Note: Currently, there are very limited sets of available topology policies. Every + new policy must be approved and be lockstep with the Kuberenetes release process. +* Be able to hot-plug and test new resource managers. +* Be able to remove some of the complexity with current setup and, over time, reduce + the amount of code contained within Kubelet. Instead, build a library with specific + needs. +* Have a faster path to desired changes, without potentially impacting the core of + Kubernetes with every policy change.
+ Note that current solutions have been cropping up to allow for resource management + outside the core Kubelet. These solutions require turning off the Kubelet functionality + and overriding current Kubelet allocation. We should provide a path otherwise. Many of these solutions are custom to particular companies. Many are not open source. The community should give a process to allow this functionality in core kubelet at a granular level, same as we have in many systems, such as HPC or telco. +* Leverage additional parts from the pod spec information which could help make allocation decisions +without the need to query the k8s controlplane. +* Be able to do research, with minimum toil, on new policies and resource management strategies + +This design will also use gRPC, which is used for many other pluggable components within Kubernetes. +The hope is that it will also, as a side effect, allow a path to simplify the Kubelet as it is +today and move the complexity into external plugins. + +### Goals + + + +#### Alpha Goals + +1. Provide Initial infrastructure to support CCI Driver Plugins and k8s Deployments requiring CCI Drivers after scheduling +2. Provide a feature gate to enable CCI Manager. The feature will require CPU Manager policy set to None. +3. Provide a CCI test driver which can demonstrate CCI Driver implementation requirementes and several resource management use-cases for cpu and memory. +4. Provide documntation of the CCI Manager and the provided test driver plus illustration of the currenlty covered use-cases. +5. Support seamless k8s start. +6. CCI Driver results (cpusets and memory affinity) are passed back to kubelet and allocated. +7. Handle resource management state for cpu and memory through CCI. +8. Support proper fail mechanisms of Pods if CCI driver is not available - Error message + retry +9. Continue cluster operation if CCI driver is not available +10. Podspecs: Will be able to support current pod specs. While there may be additional +extensibility in the future, the current pod specs will still work. + + +#### Beta & Post-Beta Goals + +1. Support standard pod deployments not requiring CCI Drivers through CPU & Memory Manager: all QoS types +2. Support hint providers for topology manager +3. Interoperability with Device Plugins, DRA, et cetera. +4. Identify and provide a minimal in-cluster operational core (from existing CPU Manager, Memory Manager, Topology Manager) either through in-tree libraries or through further KEPs. +5. Replace CCI policy with a component integrated in None and Static CPU Manager policies. +6. Gather feedback on the feature through surveys. +7. E2E testing including other components. +8. Adding support for e2e tests in testgrid. +9. Health identification mechanisms and automatic health-repair procedures for CCI Drivers. +8. Optimize on-node resource usage (approaches to avoid waste of resources). + + +### Non-Goals + + + +* Break any existing use cases for topology manager, memory manager, cpu manager, or +device manager. +* Creating any more latency than there is today for scheduling: We should be +careful not to add any latency into scheduling over what exists today for default behavior. +* CPU & Memory Management on scheduler side. +* Optimal binpacking of resources (we will still consider if we can optimize resource utilization in Beta). + + +## Proposal + + + + +### User Stories + + + + +#### Custom workloads, such as Telco/HPC/AI/ML + +Custom workloads often have a desire for a mix of types of cores.. For instance, a workload +should be able to have some number of static cores and some number of shared cores. +A node should be able to allow both types of cores, without having to have one setting +or another, and be able to pull from these pulls accordingly. Additionally, there is +a need to have some high-priority cores for higher performance and other lower-priority +cores for other less-sensitive parts of a workloads. In these use cases, the workloads +may also have particular types of NUMA splits required. + +#### Power optimization of workloads + +Cores should be able to be quickly spun up or down according to resource requirements. +Additionally, the nodes should be as densely packed as possible regrading the abliity to +do core use. There should also be the ability to choose between efficiency cores and +performance cores within newer architectures, according to workload requirements. + +#### Research of new resource management patterns within the cloud + +There are a variety of modifiers that can be placed around cores. Static cores, +isolated cores, shared cores, efficiency cores, and performance cores are only the +beginning of unexplored spaces. Being able to experiment with various patterns in +research without having to be an expert in how to modify Kubelet and its multiple +internal managers is a decisive benefit to the research community. + +#### User-specific plugins + +A user may have very specific allocation patterns they require. This sort of capability +may be rare and not belong upstream in mainstream Kubernetes, but there should still +be a simple way to allow users to meet their specific experiments. + +### Notes/Constraints/Caveats (Optional) + + + +### Risks and Mitigations + + + +## Design Details + + + +#### Compute Specification Option + +The CCI model combined with some of the capabilities introduced in the Dynamic +Resource Allocation (DRA) KEP [3], offers the ability to transition compute +resource allocation behavior from being a cluster-admin dominated configuration +to one that allows users with precise compute requirements to articulate the +compute attributes that they need. + +In several domains such Streaming, Telco, HPC, and AI/ML, users require +fine-grained compute resource control to maximize their key performance +indicators. They need an API option that can be made available through +upstream Kubernetes components and specific compute resource allocation +plugins. + +##### Example 1: Attributed-based resource specification + +One realization of such an API can be achieved by an attribute-based +mechanism for compute resources. The attribute-based compute resource +request model is a step towards improved semantic workload portability +that can be tried in a progressive manner with CCI. + +In the following, there is an example of a novel approach that could be +fulfilled with the CCI architecture. This example presents a set of +per-core attributes in a config-map form that enable precision beyond a policy-only based approach: + + # A resource request which consists of: + # 2 exclusive cores (no other processes running on them) + # * the cores shall be siblings + # * they shall run at 2.1 ghz + # * application assigned has the highest priority on the core + # * there are no IRQs on the core + # 6 exclusive cores(no other processes running on them) + # 4 shared cores(other processes can run on them) + apiVersion: v1 + kind: ConfigMap + metadata: + name: example-compute-claim-parameters + namespace: default + data: + cores: | + # number of core type 1 + 2 + # number of core type 2 + 6 + # number of core type 3 + 4 + compute_attributes: | + # Attributes of core type 1 + exclusive, smt-sibling-required, 2.1Ghz, 1.0 priority, no-irq + # Attributes of core type 2 + exclusive + # Attributes of core type 3 + shared + +##### Example 2.: Policy-based resource specification + +Another option how a resource allocation configuration for Kubernetes +Pods could be achieved is through a policy mechanism. In this case the +policy will be applied to all Pods to be processed. The configuration +of the policy can happen directly in a CCI Compute Resource Driver Plugin +as input argument in the yaml deployment. This methodology can be used to +realize methodologies similar to the static CPU manager policy or other policies. + +##### Resource Manager Architecture + +The extension consists of an optional CCI driver inside Pod spec which +indicates if a CCI driver exists, then it shall process compute resources. +The association betweed pod and CCI Driver can be also realised as a resource class +argument (will be considered as an option during the implementation). + +In the alpha version of the Resource Manager applies driver plugins to manage resource +allocations for Pods. Post-alpha we will consider if we need to explicitly mark which pods are to be handled by an allocation +plugin. The overall architecture consists of a manager component – the Resource +Manager inside the container manager, an optional Pod spec argument to identify which +Pods to be processed by the manager(post-alpha), a compute resource store – a component used to store +the resource sets(cpusets, memory affinity configuration) for the resource plugins. The CCI Manager +is enabled via a feature gate. After turning on the feature gate all pod allocation requets for cpu +and memory will be handled by the CCI Manager. + +![image](CCIArchAlpha.jpg)
+Figure 1: CCI Resource Manager Architecture inside Kubelet + + Pod Spec “CCIDriverName Extension” + type PodSpec { + … + // CCIResourceDriver is an optional parameter which can identify if a Pod resource manager (cpu an memory) + // has to be handled by a pluggable CCI resource driver + // This is an alpha field and requires enabling the + // CCIResourceManager feature gate. + // + // This field is immutable. + // + // +featureGate=CCIResourceManager + // +optional + CCIResourceDriver string `js”n:”cciResourceDriver,omitem”ty” protob”f:”bytes,40,opt,name=cciResourceDri”er”` + …} + +The proposed extension relies on a new optional argument inside the Pod spec to `driverName`. +We use this optional argument to drive the allocation process. If the driver name is not provided, +the Pod resources will be allocated through the standard CPU manager within t ubeletlet. An +alternative association approach can be considered during the implementation which can avoid +Pod spec changes. + +1. CCI Resource Manager
+These changes will need a separate resource manager component inside the container +manager which will handle plugin management tasks, including plugin registration and +invocations of registered plugins. These tasks will be managed via grpc for Pods who +require one or more resource management plugin(s) to get successfully allocated. In +the alpha version we provide to entry points to plugins on admission, addContainer +and removeContainer lifetime events (plugins have to implement Admit, AddResource +and RemoveResource handlers accordingly). + +2. CCI Resource Store
+The Resource Manager uses a store to keep track of resourcesets which can include +cpusets, memory, etc .. allocated by CCI Drivers. This information is gathered +per container. The store will be used by a new cpu manager policy to synchronize +the state between cpu manager and pluggable CCI Drivers. The store offers the +following interface to manage resource sets. + + +AddResource(Pod, container, resourceset) + +RemoveResource(container) + +AvailablResources(): resourceset + + +4. CCI Drivers Plugin Interface
+The initial interface of resource management plugins is very simple and consists +of three functions: + + +CCIAdmit(Pod, container, cci spec, available resources) : + +CCIAddContainerResource (Pod, container, cgroup, containerid): + +CCIRemoveContainerResource (containerid): err + +`CCIAdmit` function provides information if a given container belonging to a +Pod and having a specific CCI spec can be admitted to next stage of the allocation +pipeline. The admission will return a reserved resource-set or error. In case of +successful admission the resource set will be stored in the CCI Store and made +available to the cpu manager policy. In the case of failure the error is reported +back to user and the Pod allocation is cancelled. + +`CCIAddContainerResource` function is called before container start with a given +Pod name and container name, cgroup of Pod and the container id. The driver than +performs an allocation of the admitted resource-set. In case of failure of the +driver and error is returned. + +`CCIRemoveContainerResource` function is called to free the cpu resources taken +by a container. The functions returns nil if the operation was successful or an +error if the operation failed on the plugin side. + + /* + CCIDriver is a grpc service interface for CCI resource kubelet drivers. + The interface provides admission, allocation and cleanup entrypoints. + Drivers are registered as kubelet plugins and will be called by the + CCI resource manager for pods which are associated with this driver. + */ + service CCIDriver { + //cciAdmit admission function to reserve resources for a given container + rpc CCIAdmit(AdmitRequest) returns (AdmitResponse) {} + + //cciAddContainerResource allocation entry point for admitted containers + rpc CCIAddContainerResource (AddResourceRequest) + returns (AddResourceResponse) {} + + //cciRemoveContainerResource clea ubelet dted resources for a given container + rpc CCIRemoveContainerResource (RemoveResourceRequest) + returns (RemoveResourceResponse) {} + } + + message AdmitRequest{ + // currently available cpus + string availablecpus = 1; + // pod identfier + string pod = 2; + // container identfier + string container = 3; + // cci spec for the container, subset of podspec + string cci_spec = 4; + } + + message ResourceSet{ + // admitted cpuset + string cpuset = 1; + // flag if exclisve + bool exclusive = 2; + } + + message AdmitResponse { + // allocated resource set + ResourceSet rset = 1; + // error object + string err = 2; + } + + message AddResourceRequest{ + // pod cgroup + string cgroup = 1; + // pod identifier + string pod = 2; + // container identifier + string container = 3; + // container id + string container_id = 4; + } + + + + message AddResourceResponse { + // error object + string err = 1; + } + + message RemoveResourceRequest { + // id of the container to be removed + string container_id = 1; + } + + message RemoveResourceResponse { + // error object + string err = 1; + } + +5. CCI Drivers Factory API
+The KEP includes a new staged API which enabled the CCI driver creation. The +API can be used by a driver implementor to start a driver and automatically +register it against Kubelet's CCI Resource Manager. + +6. CCI Drivers Registration
+The CCI driver registration can be handled by t ubeletlet plugin framework. +This approach is already used with device plugins and DRA plugins. The approach +will be sufficient the cover plugin registration, status and health-check functionality. + + +##### Allocation & Container Removal Flow + +Admission and adding a Container:
+![image](CCIAllocSeqAlpha.jpg)
+Figure 2: Sequence of container allocation which uses CCI driver

+ + +The lifetime events are triggered by the container manager and internal lifecycle manager in +exact order for admitting, adding, and removing containers. As shown on Figure 2 an admit +container is invoked for containers inside pods requiring a resource drivere. +On success, the resource set result is added to the CCI +store. If the operation +fails an error will be reported back to the user (in alpha we will go back to best-effort QoS). +All blocking rpc calls are configured in alpha with a reasonable timeout. After getting an actual container id, the internal +lifecycle loop triggers the add container call. + +Container Removal:
+![image](CCIRemoveSeqAlpha.jpg)
+ +Figure 3: Container removal sequence diagram involving CCI plugins

+The container removal case is described as a sequence in Figure 3. After registering +a removal event in the internal container lifecycle, the CCI manager is triggered +and invokes the CCI Driver to free any resources takes by the container. On +success, the CCI store will be also cleaned and a new available resource set will +be updated. All blocking rpc calls are configured with +a reasonable timeout in alpha. + +##### Post-Alpha & GA Architectural Considerations + +After the initial alpha implementation we will consider the integration of the +Container Compute Interface “CCI” with exisiting CPU and Memory manager stack +This can be achieved either by using already exising managers and introducing state +synchronization or through a common code base which can be invoked +from within the CCI Manager. + +A possible integation with topology manager could follow by implementing the topology hints +interface for the CCI Manager which will use data extracted from CCI Store. This will +require such data to be provided by CCI Drivers and the CCI store has to be extended to +be able to handle it correctly for serving the corresponding topology hints calls. + + +### Test Plan + + + +[X] I/we understand the owners of the involved components may require updates to +existing tests to make this code solid enough prior to committing the changes necessary +to implement this enhancement. + +##### Unit tests + + + + + +###### Alpha + +* CCI Resource Manager: target code cvg >=80% +* CCI Store: target code cvg >=80% +* CCI CPU Manager Policy Component: target code cvg >=80% +* CCI Drivers Factory API: target code cvg >=80% + +###### BETA + +* CPU Manager None and Static Policy Integration with CCI +* Pod Admission Race tests +* Introduce fail-safety tests +* Performance/Scalabilty tests + + +##### Integration tests +###### Alpha +* CPU and CCI Manager Integration test: driver-based allocation and best-effort QoS +* State Consistency (CPU Manager + CCI) integrateion test +###### BETA +* CPU Manager None, Static Policy Integration with CCI +* CPU, Memory, Topology and CCI Manager Integration test +* Further integration tests with Device Manager and DRA +* Integration test including static QoS and driver-based allocation + + +##### e2e tests +###### Alpha +* E2E tests including a test CCI Driver +* E2E tests for showcasing resource allocations for cpu and memory through CCI + +###### BETA +* End-to-End tests to cover all cci resource allocation use-cases +* End-to_End tests with device plugins and DRA +* Performance and resource utilization tests + + + + +### Graduation Criteria + + +#### Alpha to Beta + +- Feature implemented behind a feature flag +- Initial e2e tests completed and enabled +- Integrate API feedback from users and community +- Proven cross-components consistency (ideally via tests) +- Handling of topology manager and memory manager use-cases +- Finish Identified Code refactoring of common building blocks (look at common pieces in all plugin-frameworks in kubelet) +- Look to what makes sense to leave inside Kubelet due to latency and use case requirements. Introduce community CCI drivers repo +Similar to Kubernetes Scheduler Plugin repo +- Have plugins specific to common use cases or environments +- Smooth integration with scheduler extensions/ plugins … + +#### Beta to GA + +- Gather feedback from developers and surveys and integrate it +- Successful adoption across users +- Proven Components Correctness +- Performance tests completion +- N examples of real-world usage + +#### Deprecation + + +### Upgrade / Downgrade Strategy + + + +### Version Skew Strategy + + + +## Production Readiness Review Questionnaire + + + +### Feature Enablement and Rollback + + + +#### Operational Requirements for Alpha: + +* Enable CCI Feature Gate +* Disable Memory manager +* Disable Topology Manager +* Set CPU Manager policy to None + + +###### How can this feature be enabled / disabled in a live cluster? + + + +- [x] Feature gate (also fill in values in `kep.yaml`) + - Feature gate name: CCIResourceManager + - Components depending on the feature gate: CCIResourceManager, CCI CPU Manger Policy, Pod Association Mechaninism, CCI APIs +- [ ] Other + - Describe the mechanism: + - Will enabling / disabling the feature require downtime of the control + plane? + - Will enabling / disabling the feature require downtime or reprovisioning + of a node? (Do not assume `Dynamic Kubelet Config` feature is enabled). + +###### Does enabling the feature change any default behavior? +No + + +###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? +Yes, a deletion of pods requiring cci driver will be recommended + + +###### What happens if we reenable the feature if it was previously rolled back? +Pods requiring cci driver might have been handled by standard cpu manager, those will need to +be recreated after enabling the cci driver. + +###### Are there any tests for feature enablement/disablement? +Planned to include some + + +### Rollout, Upgrade and Rollback Planning + + +The usual Kubernetes upgrade and downgrade strategy applies for in-tree components. +Vendors must take care that upgrades and downgrades work with the drivers that +they provide to customers + +We propose a solution of the bootstrapping problem for the cluster initialization by +using the new CCI policy of CPU Manager. The policies allows the deployment of +Pods not bound a CCI driver without requiring any plugin. The allocation of such +Pods will be handled by std cpu manager. + +Pods which require CCI Driver will fail starting and report an error due to driver +unavailability. If a CCI Plugin fails, Pods which were about to be allocated +that were tied to the plugin will fail. Based on requirements a fallback mechanism +can be implemented where such Pods fallback to a given std. QoS Model. + + +###### How can a rollout or rollback fail? Can it impact already running workloads? +Failure of CCI drivers will have impact only over pods requiring CCI driver for +resource management. All other pods will not be impacted. THe impacted pods will +an error message showing failure of the driver. + + +###### What specific metrics should inform a rollback? + +Unhealthy CCI drivers which can't get to a ready state and repeating failures +to allocate pods in cases of free resources. + + +###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? + +TBD in Beta + + +###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? + +TBD in Beta + + +### Monitoring Requirements + +TBD in Beta + + +###### How can an operator determine if the feature is in use by workloads? +Pods will be running on the cluster which are associated to CCI drivers. + + +###### How can someone using this feature know that it is working for their instance? + + + +- [ ] Events + - Event Reason: +- [x] API .status + - Condition name: CCI Driver readiness and CCI Status field can be introduced + - Other field: +- [ ] Other (treat as last resort) + - Details: + +###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? +Pods not using CCI Driveres continue to work as before. +Consistent state handling for Pods requiring CCI Driver and standard CPU-Manager managed pods. + + +###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? + + +TBD in Beta +- [ ] Metrics + - Metric name: + - [Optional] Aggregation method: + - Components exposing the metric: +- [ ] Other (treat as last resort) + - Details: + +###### Are there any missing metrics that would be useful to have to improve observability of this feature? + + + +### Dependencies +None + + +###### Does this feature depend on any specific services running in the cluster? +A CCI Driver (daemonset) will be required to handle pods which need CCI driver resource management. + + +### Scalability + +The CCI Resource Manager approach resembles device manager protocol. The scalability and performance impact will be similar to the case of handling device plugins. + +Further performance benchmarks will be done in Beta Phase + + +###### Will enabling / using this feature result in any new API calls? + +For Pods requiring CCI Driver the admission, container add and container removal operations will be handled via +api call to external CCI Driver. Remaining pods should be handled as before. + + +###### Will enabling / using this feature result in introducing new API types? + +A helper API to create CCI Drivers (CCI Driver Factory) can be integrated as staged repo. + + +###### Will enabling / using this feature result in any new calls to the cloud provider? + +No + + + +###### Will enabling / using this feature result in increasing size or count of the existing API objects? + +Optional CCI driver association mechanism bound to pod spec. One realistion can be an optional driver name attribute. + + +###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? +No + + +###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? +No + + +### Troubleshooting + + + +We propose a solution of the bootstrapping problem for the cluster initialization +by using the new CCI policy of CPU Manager. The policies allows the deployment of +Pods not bound a CCI driver without requiring any plugin. The allocation of such Pods +will be handled by std cpu manager. Pods which require CCI Driver will fail starting +and report an error due to driver unavailability. + +If a CCI Plugin fails, Pods which were about to be allocated will fail. Based on +requirements a fallback mechanism can be implemented where such Pods fallback to +a given std. QoS Model. + +![image](CCITroubleshooting.jpg)
+ +Figure 4: Troubleshooting Flows: Handling of pods requiring CCI driver and standard pods wihtout CCI Driver requirements in the case of unhealthy driver.

+ +To illustrate this lets consider some of the flows described on Figure 4. We distriguish +between pods handled by CCI drivers(group 1 pods) and standard Pods(group 2 pods). Until the CCI driver is not started the pod admission of group 1 pods will fail with an admission error due to driver unavailabilty. Group 2 pods are not impaceted by and they +can be deployed on the cluster. After the CCI Driver comes online the addmission of +group 1 pods can continue. The admission transactions of group 1 and 2 are mutually exclusive. In later time the driver becomes unhealthy and the admission of second pod +from group 1 will fail. + +###### How does this feature react if the API server and/or etcd is unavailable? + +Feature lives completly in kubelet and will not be impacted directly. + +###### What are other known failure modes? +TBD + + +###### What steps should be taken if SLOs are not being met to determine the problem? + +We plan to provide sufficient logging information inside kubelet log to help determine +problems with CCI Resource Management Stack. Additionally CCI Driver implementations should +consider integrating proper logging mechanism and error messages to help determine any +issues during operation. + +## Challenges and Considerations +###### Checkpoint assignments +The driver must be able to pick up where it left off in case the Kubelet restarts for any reason. With regards to cpusets, the CPU Manager can reassign those values in the event of a Kubelet restart as the CPU Manager state also keeps track of Pods covered by CCI drivers. Information specific to the driver can be handled by the driver itself using a checkpoint file. + +## Implementation History + +TBD + + +## Drawbacks + + + +## Alternatives + + + We could choose, instead, to continually extend existing Kubelet managers. This is + already complicated and becomes more so as users want more and more specialty use + cases. Additionally, chip companies are coming up with increasingly complicated + architecture and the community will not want to spend time and resources supporting + odd changes particular for particular chipsets. Rather, we should choose to reduce + complexity within the Kubelet over time. + +## Infrastructure Needed + + + +We may choose to add in a repo that allows donations of plugins specific to particular +use cases, in the way that we already do so for Kubernetes Scheduler Plugins. This +will allow a central place for the community to donate useful content. diff --git a/keps/sig-node/3675-resource-plugin-manager/kep.yaml b/keps/sig-node/3675-resource-plugin-manager/kep.yaml new file mode 100644 index 000000000000..e52a8180ec7e --- /dev/null +++ b/keps/sig-node/3675-resource-plugin-manager/kep.yaml @@ -0,0 +1,42 @@ +title: Pluggable Resource Management +kep-number: 3675 +authors: + - "@obiTrinobiIntel" + - "@catblade" +owning-sig: sig-node +participating-sigs: + - sig-node +status: implementable +creation-date: "2023-02-06" +reviewers: + - "@swatisehgal" + - "@klueska" +approvers: + - "@sig-node-leads" + +see-also: [] + +# The target maturity stage in the current dev cycle for this KEP. +stage: alpha + +# The most recent milestone for which work toward delivery of this KEP has been +# done. This can be the current (upcoming) milestone, if it is being actively +# worked on. +latest-milestone: "v1.27" + +# The milestone at which this feature was, or is targeted to be, at each stage. +milestone: + alpha: "v1.27" + beta: "v1.30" + stable: "v1.33" + +# The following PRR answers are required at alpha release +# List the feature gate name and the components for which it must be enabled +feature-gates: + - name: CCIManager + components: + - kubelet +disable-supported: true + +# The following PRR answers are required at beta release +metrics: [] \ No newline at end of file diff --git a/keps/sig-release/3720-freezing-k8s-gcr-io/README.md b/keps/sig-release/3720-freezing-k8s-gcr-io/README.md new file mode 100644 index 000000000000..4c9eec06dea2 --- /dev/null +++ b/keps/sig-release/3720-freezing-k8s-gcr-io/README.md @@ -0,0 +1,172 @@ +# KEP-3720: Freeze `k8s.gcr.io` image registry + +The change proposed by this KEP is very unusual as the engineering work will **not** be done in the k/k repository. However, this is a major change to the project hence the KEP. + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [Goals](#goals) + - [Non-Goals](#non-goals) +- [Proposal](#proposal) + - [Risks and Mitigations](#risks-and-mitigations) +- [Design Details](#design-details) + - [Test Plan](#test-plan) + - [Graduation Criteria](#graduation-criteria) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Communication Plan](#communication-plan) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) +- [Implementation History](#implementation-history) +- [Drawbacks](#drawbacks) +- [Alternatives](#alternatives) +- [Infrastructure Needed (Optional)](#infrastructure-needed-optional) + + +## Release Signoff Checklist + + + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +This KEP is unusual and doesn't actually make/propose changes to the Kubernetes codebase. It does propose a major change to how images of the Kubernetes are consumed hence the KEP. + +- [X] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [X] (R) KEP approvers have approved the KEP status as `implementable` +- [X] (R) Design details are appropriately documented +- [X] (N/A) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [X] (N/A) e2e Tests for all Beta API Operations (endpoints) + - [X] (N/A) Ensure GA e2e tests meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [X] (N/A) Minimum Two Week Window for GA e2e tests to prove flake free +- [X] (N/A) Graduation criteria is in place + - [X] (N/A) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [X] (N/A) Production readiness review completed +- [X] (N/A) Production readiness review approved +- [ ] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + + + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + +The Kubernetes project has created and runs the `registry.k8s.io` image registry which is fully controlled by the community. +This registry has been [GA for several months](https://kubernetes.io/blog/2022/11/28/registry-k8s-io-faster-cheaper-ga/) now and we need to freeze the old image registry. + +## Motivation + +Running public image registries is very expensive and eats up a significant chunk of the project's Infrastructure budget. We built `registry.k8s.io` image registry to serve images from various origins around the world depending on the location of the user. For example, an a kops Kubernetes cluster in eu-west-1 can pull images from an AWS S3 bucket in the same region which is very fast and more importantly very cheap for the Kubernetes project. + +There was a plan to redirect `k8s.gcr.io` to `registry.k8s.io` but it didn't [work out](https://kubernetes.slack.com/archives/CCK68P2Q2/p1666725317568709) so we backported the image registry defaults to 1.24, 1.23, and 1.22 so all the patch releases from December 2022 will using the new registry by default. + +We are currently exceeding our budget as it will take quite a while for end users to upgrade Kubernetes to v1.25 so we want to incentivise our end users to move to the new registry as fast as possible by freezing the registry by 1.27. This would mean that all subsequent image releases will not be available on the old registry. + +### Goals + +Freeze `k8s.gcr.io` image registry and push all new images and tags exclusively to the `registry.k8s.io` image registry. + +### Non-Goals + +- `registry.k8s.io` internal implementations details. That is handled separately by sig-k8s-infra. + +## Proposal + +Freeze the `k8s.gcr.io` image by not pushing any new digests or tags after 1.27 release. The 1.27 release itself won't be available on `k8s.gcr.io`. + +I'm proposing that on the 1st of April 2023 (10 days before 1.27 is released): + +- `k8s.gcr.io` is frozen and no new images will be published by any subproject. +- last 1.23 release on `k8s.gcr.io` will be 1.23.18 (goes EoL before the freeze) +- last 1.24 release on `k8s.gcr.io` will be 1.24.12 +- last 1.25 release on `k8s.gcr.io` will be 1.25.8 +- last 1.26 release on `k8s.gcr.io` will be 1.26.3 +- 1.27.0 will not be available `k8s.gcr.io` + +### Risks and Mitigations + +There are no risks. The old registry will still be available and you can pull the images before 1.27 on there. This change will also +affect other users of k8s.gcr.io who should have already updated their helm charts and manifests to use the new registry. + +## Design Details + +The image promotion process is described [here](https://github.com/kubernetes/k8s.io/tree/main/k8s.gcr.io). Please read it for full details. + +This is the planned technical changes(grouped by repos): + +- k-sigs/promo-tools + - merge https://github.com/kubernetes-sigs/promo-tools/pull/669 +- k/k8s.io + - Fix https://github.com/kubernetes/k8s.io/issues/4611 + - clean up the contents of the `registry.k8s.io` folder. Most of the content should be in k/registry.k8s.io repository + - duplicate the top level folder `k8s.gcr.io` in the repo and call it `registry.k8s.io` +- k/test-infra + - blockade the k8s.gcr.io folder in k/k8s.io repository. blockade is a prow plugin that rejects PRs that modify specific folders/files. + - update the ProwJobs [post-k8sio-image-promo](https://github.com/kubernetes/test-infra/blob/master/config/jobs/kubernetes/sig-k8s-infra/trusted/releng/releng-trusted.yaml) and [pull-k8sio-cip](https://github.com/kubernetes/test-infra/blob/master/config/jobs/kubernetes/sig-k8s-infra/releng/artifact-promotion-presubmits.yaml) `thin-manifest-dir` flags to point to the new folder + + +### Test Plan + +This is not applicable. + +### Graduation Criteria + +This is not applicable. + +### Upgrade / Downgrade Strategy + +When users upgrade to various kubernetes versions that use the new image registry, they will be able to pull images from the new +registry. + +### Version Skew Strategy + +This is not applicable. + +## Communication Plan + +This is a major change and requires an appropriate communication plan. + +We plan on communicating this change via: +- an email to k-dev +- an email to k-announce +- a blog post on kubernetes.io + +## Production Readiness Review Questionnaire + +This is not applicable. + +## Implementation History + +## Drawbacks + +This is not applicable. + + + +## Alternatives + +We keep pushing new images to the old registry. + +## Infrastructure Needed (Optional) + +None as it has already been deployed. diff --git a/keps/sig-release/3720-freezing-k8s-gcr-io/kep.yaml b/keps/sig-release/3720-freezing-k8s-gcr-io/kep.yaml new file mode 100644 index 000000000000..e6aca27d914b --- /dev/null +++ b/keps/sig-release/3720-freezing-k8s-gcr-io/kep.yaml @@ -0,0 +1,29 @@ +title: Freezing `k8s.gcr.io` image registry +kep-number: 3720 +authors: + - "@upodroid" +owning-sig: sig-release +participating-sigs: + - sig-k8s-infra + - sig-release +status: implementable +creation-date: 2023-01-10 +reviewers: + - "@ameukam" + - "@cpanato" + - "@dims" + - "@jeremyrickard" + - "@justaugustus" + - "@saschagrunert" +approvers: + - "@ameukam" + - "@cpanato" + - "@dims" + - "@jeremyrickard" + - "@justaugustus" + - "@saschagrunert" +stage: stable +latest-milestone: "v1.27" +milestone: + stable: "v1.27" +disable-supported: true diff --git a/keps/sig-scheduling/2926-job-mutable-scheduling-directives/README.md b/keps/sig-scheduling/2926-job-mutable-scheduling-directives/README.md index 64ce405d7f60..b7b85c4be876 100644 --- a/keps/sig-scheduling/2926-job-mutable-scheduling-directives/README.md +++ b/keps/sig-scheduling/2926-job-mutable-scheduling-directives/README.md @@ -89,6 +89,9 @@ tags, and then generate with `hack/update-toc.sh`. - [Risks and Mitigations](#risks-and-mitigations) - [Design Details](#design-details) - [Test Plan](#test-plan) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) - [Graduation Criteria](#graduation-criteria) - [Beta](#beta) - [GA](#ga) @@ -162,8 +165,8 @@ specific partition (e.g., preemptibles) or a specific location (e.g., zone x). This is a proposal to relax update validation on jobs that have never been unsuspended to allow mutating node scheduling directives, namely the pod template's node affinity, -node selector, tolerations, annotations and labels of the job's pod template. This enables -a higher-level queue controller to inject such directives before un-suspending a job to +node selector, tolerations, schedulingGates, annotations and labels of the job's pod template. This +enables a higher-level queue controller to inject such directives before un-suspending a job to influence its placement. -No, unit and integration tests will be added. +No. The unit tests that are exercising the `switch` of feature gate itself will be added. ### Rollout, Upgrade and Rollback Planning @@ -659,6 +659,12 @@ feature flags will be enabled on some API servers and not others during the rollout. Similarly, consider large clusters and how enablement/disablement will rollout across nodes. --> +It won't impact already running workloads because it is an opt-in feature in scheduler. +But during a rolling upgrade, if some apiservers have not enabled the feature, they will not +be able to accept and store the field "MatchLabelKeys" and the pods associated with these +apiservers will not be able to use this feature. As a result, pods belonging to the +same deployment may have different scheduling outcomes. + ###### What specific metrics should inform a rollback? @@ -666,6 +672,9 @@ will rollout across nodes. What signals should users be paying attention to when the feature is young that might indicate a serious problem? --> +- If the metric `schedule_attempts_total{result="error|unschedulable"}` increased significantly after pods using this feature are added. +- If the metric `plugin_execution_duration_seconds{plugin="PodTopologySpread"}` increased to higher than 100ms on 90% after pods using this feature are added. + ###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? @@ -674,12 +683,60 @@ Describe manual testing that was done and the outcomes. Longer term, we may want to require automated upgrade/rollback tests, but we are missing a bunch of machinery and tooling and can't do that now. --> +Yes, it was tested manually by following the steps below, and it was working at intended. +1. create a kubernetes cluster v1.26 with 3 nodes where `MatchLabelKeysInPodTopologySpread` feature is disabled. +2. deploy a deployment with this yaml +```yaml +apiVersion: apps/v1 +kind: Deployment +metadata: + name: nginx +spec: + replicas: 12 + selector: + matchLabels: + foo: bar + template: + metadata: + labels: + foo: bar + spec: + restartPolicy: Always + containers: + - name: nginx + image: nginx:1.14.2 + topologySpreadConstraints: + - maxSkew: 1 + topologyKey: kubernetes.io/hostname + whenUnsatisfiable: DoNotSchedule + labelSelector: + matchLabels: + foo: bar + matchLabelKeys: + - pod-template-hash +``` +3. pods spread across nodes as 4/4/4 +4. update the deployment nginx image to `nginx:1.15.0` +5. pods spread across nodes as 5/4/3 +6. delete deployment nginx +7. upgrade kubenetes cluster to v1.27 (at master branch) while `MatchLabelKeysInPodTopologySpread` is enabled. +8. deploy a deployment nginx like step2 +9. pods spread across nodes as 4/4/4 +10. update the deployment nginx image to `nginx:1.15.0` +11. pods spread across nodes as 4/4/4 +12. delete deployment nginx +13. downgrade kubenetes cluster to v1.26 where `MatchLabelKeysInPodTopologySpread` feature is enabled. +14. deploy a deployment nginx like step2 +15. pods spread across nodes as 4/4/4 +16. update the deployment nginx image to `nginx:1.15.0` +17. pods spread across nodes as 4/4/4 ###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? +No. ### Monitoring Requirements @@ -694,6 +751,7 @@ Ideally, this should be a metric. Operations against the Kubernetes API (e.g., checking if there are objects with field X set) may be a last resort. Avoid logs or events for this purpose. --> +Operator can query pods that have the `pod.spec.topologySpreadConstraints.matchLabelKeys` field set to determine if the feature is in use by workloads. ###### How can someone using this feature know that it is working for their instance? @@ -706,13 +764,8 @@ and operation of this feature. Recall that end users cannot usually observe component logs or access metrics. --> -- [ ] Events - - Event Reason: -- [ ] API .status - - Condition name: - - Other field: -- [ ] Other (treat as last resort) - - Details: +- [x] Other (treat as last resort) + - Details: We can determine if this feature is being used by checking deployments that have only `MatchLabelKeys` set in `TopologySpreadConstraint` and no `LabelSelector`. These Deployments will strictly adhere to TopologySpread after both deployment and rolling upgrades if the feature is being used. ###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? @@ -730,6 +783,7 @@ high level (needs more precise definitions) those may be things like: These goals will help you determine what you need to measure (SLIs) in the next question. --> +Metric plugin_execution_duration_seconds{plugin="PodTopologySpread"} <= 100ms on 90-percentile. ###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? @@ -737,12 +791,10 @@ question. Pick one more of these and delete the rest. --> -- [ ] Metrics - - Metric name: - - [Optional] Aggregation method: - - Components exposing the metric: -- [ ] Other (treat as last resort) - - Details: +- [x] Metrics + - Component exposing the metric: kube-scheduler + - Metric name: `plugin_execution_duration_seconds{plugin="PodTopologySpread"}` + - Metric name: `schedule_attempts_total{result="error|unschedulable"}` ###### Are there any missing metrics that would be useful to have to improve observability of this feature? @@ -750,6 +802,8 @@ Pick one more of these and delete the rest. Describe the metrics themselves and the reasons why they weren't added (e.g., cost, implementation difficulties, etc.). --> +Yes. It's helpful if we have the metrics to see which plugins affect to scheduler's decisions in Filter/Score phase. +There is the related issue: https://github.com/kubernetes/kubernetes/issues/110643 . It's very big and still on the way. ### Dependencies @@ -773,6 +827,7 @@ and creating new ones, as well as about cluster-level services (e.g. DNS): - Impact of its outage on the feature: - Impact of its degraded performance or high-error rates on the feature: --> +No. ### Scalability @@ -800,6 +855,7 @@ Focusing mostly on: - periodic API calls to reconcile state (e.g. periodic fetching state, heartbeats, leader election, etc.) --> +No. ###### Will enabling / using this feature result in introducing new API types? @@ -809,6 +865,7 @@ Describe them, providing: - Supported number of objects per cluster - Supported number of objects per namespace (for namespace-scoped objects) --> +No. ###### Will enabling / using this feature result in any new calls to the cloud provider? @@ -817,6 +874,7 @@ Describe them, providing: - Which API(s): - Estimated increase: --> +No. ###### Will enabling / using this feature result in increasing size or count of the existing API objects? @@ -826,6 +884,7 @@ Describe them, providing: - Estimated increase in size: (e.g., new annotation of size 32B) - Estimated amount of new objects: (e.g., new Object X for every existing Pod) --> +No. ###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? @@ -837,6 +896,8 @@ Think about adding additional work or introducing new steps in between [existing SLIs/SLOs]: https://git.k8s.io/community/sig-scalability/slos/slos.md#kubernetes-slisslos --> +Yes. there is an additional work: the scheduler will use the keys in `matchLabelKeys` to look up label values from the pod and AND with `LabelSelector`. +Maybe result in a very samll impact in scheduling latency which directly contributes to pod-startup-latency SLO. ###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? @@ -849,6 +910,7 @@ This through this both in small and large cases, again with respect to the [supported limits]: https://git.k8s.io/community//sig-scalability/configs-and-limits/thresholds.md --> +No. ### Troubleshooting @@ -861,6 +923,8 @@ details). For now, we leave it here. --> ###### How does this feature react if the API server and/or etcd is unavailable? +If the API server and/or etcd is not available, this feature will not be available. +This is because the scheduler needs to update the scheduling results to the pod via the API server/etcd. ###### What are other known failure modes? @@ -876,8 +940,18 @@ For each of them, fill in the following information by copying the below templat Not required until feature graduated to beta. - Testing: Are there any tests for failure mode? If not, describe why. --> +N/A ###### What steps should be taken if SLOs are not being met to determine the problem? +- Check the metric `plugin_execution_duration_seconds{plugin="PodTopologySpread"}` to determine + if the latency increased. If increased, it means this feature may increased scheduling latency. + You can disable the feature `MatchLabelKeysInPodTopologySpread` to see if it's the cause of the + increased latency. +- Check the metric `schedule_attempts_total{result="error|unschedulable"}` to determine if the number + of attempts increased. If increased, You need to determine the cause of the failure by the event of + the pod. If it's caused by plugin `PodTopologySpread`, You can further analyze this problem by looking + at the scheduler log. + ## Implementation History @@ -892,6 +966,8 @@ Major milestones might include: - when the KEP was retired or superseded --> - 2022-03-17: Initial KEP + - 2022-06-08: KEP merged + - 2023-01-16: Graduate to Beta ## Drawbacks diff --git a/keps/sig-scheduling/3243-respect-pod-topology-spread-after-rolling-upgrades/kep.yaml b/keps/sig-scheduling/3243-respect-pod-topology-spread-after-rolling-upgrades/kep.yaml index 41f25fbd9344..4ec316524333 100644 --- a/keps/sig-scheduling/3243-respect-pod-topology-spread-after-rolling-upgrades/kep.yaml +++ b/keps/sig-scheduling/3243-respect-pod-topology-spread-after-rolling-upgrades/kep.yaml @@ -3,7 +3,7 @@ kep-number: 3243 authors: - "@denkensk" owning-sig: sig-scheduling -status: provisional +status: implementable creation-date: 2022-03-17 reviewers: - "@ahg-g" @@ -17,18 +17,18 @@ see-also: - "/keps/sig-scheduling/3094-pod-topology-spread-considering-taints" # The target maturity stage in the current dev cycle for this KEP. -stage: alpha +stage: beta # The most recent milestone for which work toward delivery of this KEP has been # done. This can be the current (upcoming) milestone, if it is being actively # worked on. -latest-milestone: "v1.25" +latest-milestone: "v1.27" # The milestone at which this feature was, or is targeted to be, at each stage. milestone: alpha: "v1.25" - beta: "v1.26" - stable: "v1.28" + beta: "v1.27" + stable: "v1.29" # The following PRR answers are required at alpha release # List the feature gate name and the components for which it must be enabled @@ -39,3 +39,8 @@ feature-gates: - kube-scheduler disable-supported: true + +# The following PRR answers are required at beta release +metrics: +- plugin_execution_duration_seconds{plugin="PodTopologySpread"} +- schedule_attempts_total{result="error|unschedulable"} diff --git a/keps/sig-scheduling/3521-pod-scheduling-readiness/README.md b/keps/sig-scheduling/3521-pod-scheduling-readiness/README.md index de1076b506ff..120f6eb6a41c 100644 --- a/keps/sig-scheduling/3521-pod-scheduling-readiness/README.md +++ b/keps/sig-scheduling/3521-pod-scheduling-readiness/README.md @@ -76,6 +76,7 @@ tags, and then generate with `hack/update-toc.sh`. - [Motivation](#motivation) - [Goals](#goals) - [Non-Goals](#non-goals) + - [Future Work](#future-work) - [Proposal](#proposal) - [User Stories (Optional)](#user-stories-optional) - [Story 1](#story-1) @@ -140,9 +141,9 @@ Items marked with (R) are required *prior to targeting to a milestone / release* - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) - [ ] (R) Production readiness review completed - [ ] (R) Production readiness review approved -- [ ] "Implementation History" section is up-to-date for milestone -- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] -- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes +- [x] "Implementation History" section is up-to-date for milestone +- [x] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [x] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes -Create a test with the following sequences: +An e2e test was created in Alpha with the following sequences: -- Provision a cluster with feature gate `PodSchedulingReadiness=true` (we may need to setup a testgrid -for when it's alpha) - Create a Pod with non-nil `.spec.schedulingGates`. - Wait for 15 seconds to ensure (and then verify) it did not get scheduled. - Clear the Pod's `.spec.schedulingGates` field. - Wait for 5 seconds for the Pod to be scheduled; otherwise error the e2e test. +In beta, it will be enabled by default in the [k8s-triage](https://storage.googleapis.com/k8s-triage/index.html?sig=scheduling&test=Feature%3APodSchedulingReadiness) dashboard. + ### Graduation Criteria -Appropriate tests will be added in Alpha. See [Test Plan](#test-plan) for more details. +Appropriate tests have been added in the integration tests. See [Integration tests](#integration-tests) for more details. ### Rollout, Upgrade and Rollback Planning @@ -790,6 +799,12 @@ rollout. Similarly, consider large clusters and how enablement/disablement will rollout across nodes. --> +It shouldn't impact already running workloads. It's an opt-in feature, and users need to set +`.spec.schedulingGates` field to use this feature. + +When this feature is disabled by the feature flag, the already created Pod's `.spec.schedulingGates` +field is preserved, however, the newly created Pod's `.spec.schedulingGates` field is silently dropped. + ###### What specific metrics should inform a rollback? +A rollback might be considered if the metric `scheduler_pending_pods{queue="gated"}` stays in a +high watermark for a long time since it may indicate that some controllers are not properly handling +removing the scheduling gates, which causes the pods to stay in pending state. + +Another indicator for rollback is the 90-percentile value of metric `scheduler_plugin_execution_duration_seconds{plugin="SchedulingGates"}` +exceeds 100ms steadily. + ###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? +It will be tested manually prior to beta launch. + +<> +Add detailed scenarios and result here, and cc @wojtek-t. +<> + ###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? +No. + ### Monitoring Requirements -Add a label `notReady` to the existing metric `pending_pods` to distinguish unschedulable Pods: +A new "queue" type `gated` is added to the existing metric `scheduler_pending_pods` to distinguish +unschedulable Pods: -- `unschedulable` (existing): scheduler tried but cannot find any Node to host the Pod -- `notReady` (new): scheduler respect the Pod's present `schedulingGates` and hence not schedule it +- `scheduler_pending_pods{queue="unschedulable"}` (existing): scheduler tried but cannot find any +Node to host the Pod +- `scheduler_pending_pods{queue="gated"}` (new): scheduler respect the Pod's present `schedulingGates` +and hence not schedule it + +The metric `scheduler_plugin_execution_duration_seconds{plugin="SchedulingGates"}` gives a histogram +to show the Nth percentile value how SchedulingGates plugin is executed. Moreover, to explicitly indicate a Pod's scheduling-unready state, a condition -`{type:PodScheduled, reason:WaitingForGates}` is introduced. +`{type:PodScheduled, reason:SchedulingGated}` is introduced. ###### How can an operator determine if the feature is in use by workloads? @@ -836,6 +872,10 @@ checking if there are objects with field X set) may be a last resort. Avoid logs or events for this purpose. --> +- observe non-zero value for the metric `pending_pods{queue="gated"}` +- observe entries for the metric `scheduler_plugin_execution_duration_seconds{plugin="SchedulingGates"}` +- observe non-empty value in a Pod's `.spec.schedulingGates` field + ###### How can someone using this feature know that it is working for their instance? +N/A. + ###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? -- [ ] Metrics - - Metric name: - - [Optional] Aggregation method: - - Components exposing the metric: -- [ ] Other (treat as last resort) - - Details: +- [x] Metrics + - Metric name: scheduler_pending_pods{queue="gated"} + - Metric name: scheduler_plugin_execution_duration_seconds{plugin="SchedulingGates"} + - Components exposing the metric: kube-scheduler ###### Are there any missing metrics that would be useful to have to improve observability of this feature? @@ -892,12 +937,16 @@ Describe the metrics themselves and the reasons why they weren't added (e.g., co implementation difficulties, etc.). --> +N/A. + ### Dependencies +N/A. + ###### Does this feature depend on any specific services running in the cluster? +N/A. + ### Scalability +The feature itself doesn't generate API calls. But it's expected the API Server would receive +additional update/patch requests to mutate the scheduling gates, by external controllers. + ###### Will enabling / using this feature result in introducing new API types? +No. + ###### Will enabling / using this feature result in any new calls to the cloud provider? +No. + ###### Will enabling / using this feature result in increasing size or count of the existing API objects? +- No to existing API objects that doesn't use this feature. +- For API objects that use this feature: + - API type: Pod + - Estimated increase in size: new field `.spec.schedulingGates` about ~64 bytes (in the case of 2 scheduling gates) + ###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? +No. + ###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? +No. + ### Troubleshooting +In a highly-available cluster, if there are skewed API Servers, some update requests +may get accepted and some may get rejected. + ###### What steps should be taken if SLOs are not being met to determine the problem? +N/A. + ## Implementation History -- 2022-09-16 - Initial Proposal +- 2022-09-16: Initial KEP +- 2022-01-14: Graduate the feature to Beta ## Drawbacks @@ -1052,11 +1131,11 @@ not need to be as detailed as the proposal, but should include enough information to express the idea and why it was not acceptable. --> -- Define a boolean filed `.spec.schedulingPaused`. Its value is optionally initialized to `True` to +Define a boolean filed `.spec.schedulingPaused`. Its value is optionally initialized to `True` to indicate it's not scheduling-ready, and flipped to `False` (by a controller) afterwards to trigger this Pod's scheduling cycle. - This approach is not chosen because it cannot support multiple independent controllers to control +This approach is not chosen because it cannot support multiple independent controllers to control specific aspect a Pod's scheduling readiness. ## Infrastructure Needed (Optional) diff --git a/keps/sig-scheduling/3521-pod-scheduling-readiness/kep.yaml b/keps/sig-scheduling/3521-pod-scheduling-readiness/kep.yaml index 3c865a57e01c..b864c45495c0 100644 --- a/keps/sig-scheduling/3521-pod-scheduling-readiness/kep.yaml +++ b/keps/sig-scheduling/3521-pod-scheduling-readiness/kep.yaml @@ -18,12 +18,12 @@ see-also: - "/keps/sig-scheduling/624-scheduling-framework" # The target maturity stage in the current dev cycle for this KEP. -stage: alpha +stage: beta # The most recent milestone for which work toward delivery of this KEP has been # done. This can be the current (upcoming) milestone, if it is being actively # worked on. -latest-milestone: "v1.26" +latest-milestone: "v1.27" # The milestone at which this feature was, or is targeted to be, at each stage. milestone: @@ -42,4 +42,4 @@ disable-supported: true # The following PRR answers are required at beta release metrics: - - TBD + - scheduler_pending_pods{queue="gated"} diff --git a/keps/sig-scheduling/3633-matchlabelkeys-to-podaffinity/README.md b/keps/sig-scheduling/3633-matchlabelkeys-to-podaffinity/README.md new file mode 100644 index 000000000000..6d00d042667e --- /dev/null +++ b/keps/sig-scheduling/3633-matchlabelkeys-to-podaffinity/README.md @@ -0,0 +1,924 @@ + +# KEP-3633: Introduce MatchLabelKeys to PodAffinity and PodAntiAffinity + + + + + + +- [Release Signoff Checklist](#release-signoff-checklist) +- [Summary](#summary) +- [Motivation](#motivation) + - [Goals](#goals) + - [Non-Goals](#non-goals) +- [Proposal](#proposal) + - [User Stories (Optional)](#user-stories-optional) + - [Story 1](#story-1) + - [Notes/Constraints/Caveats (Optional)](#notesconstraintscaveats-optional) + - [Risks and Mitigations](#risks-and-mitigations) +- [Design Details](#design-details) + - [Test Plan](#test-plan) + - [Prerequisite testing updates](#prerequisite-testing-updates) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) + - [Graduation Criteria](#graduation-criteria) + - [Alpha](#alpha) + - [Beta](#beta) + - [GA](#ga) + - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) + - [Version Skew Strategy](#version-skew-strategy) +- [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) + - [Feature Enablement and Rollback](#feature-enablement-and-rollback) + - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) + - [Monitoring Requirements](#monitoring-requirements) + - [Dependencies](#dependencies) + - [Scalability](#scalability) + - [Troubleshooting](#troubleshooting) +- [Implementation History](#implementation-history) +- [Drawbacks](#drawbacks) +- [Alternatives](#alternatives) +- [Infrastructure Needed (Optional)](#infrastructure-needed-optional) + + +## Release Signoff Checklist + + + +Items marked with (R) are required *prior to targeting to a milestone / release*. + +- [ ] (R) Enhancement issue in release milestone, which links to KEP dir in [kubernetes/enhancements] (not the initial KEP PR) +- [ ] (R) KEP approvers have approved the KEP status as `implementable` +- [ ] (R) Design details are appropriately documented +- [ ] (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors) + - [ ] e2e Tests for all Beta API Operations (endpoints) + - [ ] (R) Ensure GA e2e tests for meet requirements for [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) + - [ ] (R) Minimum Two Week Window for GA e2e tests to prove flake free +- [ ] (R) Graduation criteria is in place + - [ ] (R) [all GA Endpoints](https://github.com/kubernetes/community/pull/1806) must be hit by [Conformance Tests](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-architecture/conformance-tests.md) +- [ ] (R) Production readiness review completed +- [ ] (R) Production readiness review approved +- [ ] "Implementation History" section is up-to-date for milestone +- [ ] User-facing documentation has been created in [kubernetes/website], for publication to [kubernetes.io] +- [ ] Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes + + + +[kubernetes.io]: https://kubernetes.io/ +[kubernetes/enhancements]: https://git.k8s.io/enhancements +[kubernetes/kubernetes]: https://git.k8s.io/kubernetes +[kubernetes/website]: https://git.k8s.io/website + +## Summary + + + +This KEP proposes introducing a complementary field `MatchLabelKeys` to `PodAffinityTerm`. +This enables users to finely control the scope where Pods are expected to co-exist (PodAffinity) +or not (PodAntiAffinity), on top of the existing `LabelSelector`. + +## Motivation + + + +During a workload's rolling upgrade, depending on its `upgradeStrategy`, old and new versions of +Pods may co-exist in the cluster. +As scheduler cannot distinguish "old" from "new", it cannot properly honor the API semantics of +PodAffinity and PodAntiAffiniy during the upgrade. +In the worse case, new version of Pod cannot be scheduled if it's a saturated cluster: [1], [2], [3]. + +[1]: https://github.com/kubernetes/kubernetes/issues/56539#issuecomment-449757010 +[2]: https://github.com/kubernetes/kubernetes/issues/90151 +[3]: https://github.com/kubernetes/kubernetes/issues/103584 + +On the other hand, on an idle cluster, this can cause the scheduling result sub-optimal because +some qualifying Nodes are filtered out incorrectly. + +The same issue applies to other scheduling directives as well. For example, MatchLabelKeys was introduced in topologyConstaint in [KEP-3243: Respect PodTopologySpread after rolling upgrades](https://github.com/kubernetes/enhancements/tree/master/keps/sig-scheduling/3243-respect-pod-topology-spread-after-rolling-upgrades). + +### Goals + +- Introduce `MatchLabelKeys` in `PodAffinityTerm` to let users define the scope where Pods are evaluated in required and preferred Pod(Anti)Affinity. + +### Non-Goals + + + +- Apply additional internal labels when evaluating `MatchLabelKeys` + +## Proposal + + + +### User Stories (Optional) + + + +#### Story 1 + +When users run a rolling update with a deployment that uses required PodAffinity, +and they want only replicas from the same replicaset to be evaluated. + +The deployment controller adds [pod-template-hash](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#pod-template-hash-label) to underlying ReplicaSet and thus every Pod created from Deployment carries the hash string. + +Therefore, users can use `pod-template-hash` in `MatchlabelKeys` to inform the scheduler to only evaluate Pods with the same `pod-template-hash` value. + +```yaml +apiVersion: apps/v1 +kind: Deployment +metadata: + name: application-server +... + affinity: + podAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + - labelSelector: + matchExpressions: + - key: app + operator: In + values: + - database + topologyKey: topology.kubernetes.io/zone + matchlabelKeys: # ADDED + - pod-template-hash +``` + +### Notes/Constraints/Caveats (Optional) + + + +In most scenarios, users can use the label keyed with `pod-template-hash` added +automatically by the Deployment controller to distinguish between different +revisions in a single Deployment. But for more complex scenarios +(e.g., Pod(Anti)Affinity associating two deployments at the same time), users are +responsible for providing common labels to identify which pods should be grouped. + +### Risks and Mitigations + + + +In addition to using `pod-template-hash` added by the Deployment controller, +users can also provide the customized key in `MatchLabelKeys` to identify +which pods should be grouped. If so, the user needs to ensure that it is +correct and not duplicated with other unrelated workloads. + +## Design Details + + + +A new optional field `MatchLabelKeys` is introduced to `PodAffinityTerm`. + +```go +type PodAffinityTerm struct { + LabelSelector *metav1.LabelSelector + Namespaces []string + TopologyKey string + NamespaceSelector *metav1.LabelSelector + + // MatchLabelKeys is a set of pod label keys to select which pods will + // be taken into consideration. The keys are used to lookup values from the + // incoming pod labels, those key-value labels are ANDed with `LabelSelector` + // to select the group of existing pods which pods will be taken into consideration + // for the incoming pod's pod (anti) affinity. Keys that don't exist in the incoming + // pod labels will be ignored. The default value is empty. + // +optional + MatchLabelKeys []string +} +``` + +The inter-Pod Affinity plugin will obtain the labels from the pod +labels by the keys in `MatchLabelKeys`. The obtained labels will be merged +to `LabelSelector` of `PodAffinityTerm` to filter and group pods. +The pods belonging to the same group will be evaluated. + +### Test Plan + + + +[x] I/we understand the owners of the involved components may require updates to +existing tests to make this code solid enough prior to committing the changes necessary +to implement this enhancement. + +##### Prerequisite testing updates + + + +##### Unit tests + + + + + +- `k8s.io/kubernetes/pkg/scheduler/framework/plugins/interpodaffinity/filtering.go`: `2022-11-09 14:43 JST` (The commit hash: `20a9f7786aa4ee0b6e1619c7974ea4562d2b2500`) - `91.7%` +- `k8s.io/kubernetes/pkg/scheduler/framework/plugins/interpodaffinity/filtering.go`: `2022-11-09 14:43 JST` (The commit hash: `20a9f7786aa4ee0b6e1619c7974ea4562d2b2500`) - `87.3%` + +##### Integration tests + + + +- These tests will be added. + - `MatchLabelKeys` in `PodAffinity` (both in Filter and Score) works as expected. + - `MatchLabelKeys` in `PodAntiAffinity` (both in Filter and Score) works as expected. + - `MatchLabelKeys` with the feature gate enabled/disabled. + +**Filter** +- `k8s.io/kubernetes/test/integration/scheduler/filters/filters_test.go`: https://storage.googleapis.com/k8s-triage/index.html?test=TestPodTopologySpreadFilter + +**Score** +- `k8s.io/kubernetes/test/integration/scheduler/scoring/priorities_test.go`: https://storage.googleapis.com/k8s-triage/index.html?test=TestPodTopologySpreadScoring + +Also, we should make sure this feature brings no significant performance degradation in both Filter and Score. + +- `k8s.io/kubernetes/test/integration/scheduler_perf/scheduler_perf_test.go`: https://storage.googleapis.com/k8s-triage/index.html?test=BenchmarkPerfScheduling + +##### e2e tests + + + +- These e2e tests will be added. + - `MatchLabelKeys: ["pod-template-hash"]` in `PodAffinity` (both in Filter and Score) works as expected with a rolling upgrade scenario. + - `MatchLabelKeys: ["pod-template-hash"]` in `PodAntiAffinity` (both in Filter and Score) works as expected with a rolling upgrade scenario. + +### Graduation Criteria + + + +#### Alpha + +- Feature implemented behind a feature flag +- Unit tests and e2e tests are implemented +- No significant performance degradation is observed from the benchmark test + +#### Beta + +- The feature gate is enabled by default. + +#### GA + +- No negative feedback. +- No bug issues reported. + +### Upgrade / Downgrade Strategy + + + +**Upgrade** + +The previous PodAffinity/PodAntiAffinity behavior will not be broken. Users can continue to use +their Pod specs as it is. + +To use this enhancement, users need to enable the feature gate (during this feature is in the alpha.), +and add `MatchLabelKeys` on their PodAffinity/PodAntiAffinity. + +**Downgrade** + +kube-apiserver will ignore `MatchLabelKeys` in PodAffinity/PodAntiAffinity, +and thus, kube-scheduler will also do nothing with it. + +### Version Skew Strategy + + + +N/A + +## Production Readiness Review Questionnaire + + + +### Feature Enablement and Rollback + + + +###### How can this feature be enabled / disabled in a live cluster? + + + +- [x] Feature gate (also fill in values in `kep.yaml`) + - Feature gate name: `MatchLabelKeysInPodAffinityAndPodAntiAffinity` + - Components depending on the feature gate: `kube-scheduler`, `kube-apiserver` +- [ ] Other + +###### Does enabling the feature change any default behavior? + + + +No. + +###### Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)? + + + +The feature can be disabled in Alpha and Beta versions +by restarting kube-apiserver and kube-scheduler with the feature-gate off. +In terms of Stable versions, users can choose to opt-out by not setting the +`MatchLabelKeys` field. + + +###### What happens if we reenable the feature if it was previously rolled back? + +Scheduling of new Pods is affected. (Scheduled Pods aren't affected.) + +###### Are there any tests for feature enablement/disablement? + + + +No. But, the tests to confirm the behavior on switching the feature gate will be added. + +### Rollout, Upgrade and Rollback Planning + + + +###### How can a rollout or rollback fail? Can it impact already running workloads? + + + +###### What specific metrics should inform a rollback? + + + +###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? + + + +###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? + + + +### Monitoring Requirements + + + +###### How can an operator determine if the feature is in use by workloads? + + + +###### How can someone using this feature know that it is working for their instance? + + + +- [ ] Events + - Event Reason: +- [ ] API .status + - Condition name: + - Other field: +- [ ] Other (treat as last resort) + - Details: + +###### What are the reasonable SLOs (Service Level Objectives) for the enhancement? + + + +###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? + + + +- [ ] Metrics + - Metric name: + - [Optional] Aggregation method: + - Components exposing the metric: +- [ ] Other (treat as last resort) + - Details: + +###### Are there any missing metrics that would be useful to have to improve observability of this feature? + + + +### Dependencies + + + +###### Does this feature depend on any specific services running in the cluster? + + + +### Scalability + + + +###### Will enabling / using this feature result in any new API calls? + + + +###### Will enabling / using this feature result in introducing new API types? + + + +###### Will enabling / using this feature result in any new calls to the cloud provider? + + + +###### Will enabling / using this feature result in increasing size or count of the existing API objects? + + + +###### Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs? + + + +###### Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, ...) in any components? + + + +### Troubleshooting + + + +###### How does this feature react if the API server and/or etcd is unavailable? + +###### What are other known failure modes? + + + +###### What steps should be taken if SLOs are not being met to determine the problem? + +## Implementation History + + + + - 2022-11-09: Initial KEP PR is submitted. + +## Drawbacks + + + +## Alternatives + + + +## Infrastructure Needed (Optional) + + diff --git a/keps/sig-scheduling/3633-matchlabelkeys-to-podaffinity/kep.yaml b/keps/sig-scheduling/3633-matchlabelkeys-to-podaffinity/kep.yaml new file mode 100644 index 000000000000..17c2d8e713fb --- /dev/null +++ b/keps/sig-scheduling/3633-matchlabelkeys-to-podaffinity/kep.yaml @@ -0,0 +1,29 @@ +title: Introduce MatchLabelKeys to PodAffinity and PodAntiAffinity +kep-number: 3633 +authors: + - "@sanposhiho" +owning-sig: sig-scheduling +status: provisional +creation-date: 2022-11-09 +reviewers: + - "@Huang-Wei" +approvers: + - "@Huang-Wei" + +see-also: + - "/keps/sig-scheduling/3243-respect-pod-topology-spread-after-rolling-upgrades" + +stage: alpha + +latest-milestone: "v1.27" + +milestone: + alpha: "v1.27" + beta: "v1.28" + stable: "v1.30" + +feature-gates: + - name: MatchLabelKeysInPodAffinity + components: + - kube-scheduler +disable-supported: true diff --git a/keps/sig-storage/2485-read-write-once-pod-pv-access-mode/README.md b/keps/sig-storage/2485-read-write-once-pod-pv-access-mode/README.md index a327a089c87b..313655346379 100644 --- a/keps/sig-storage/2485-read-write-once-pod-pv-access-mode/README.md +++ b/keps/sig-storage/2485-read-write-once-pod-pv-access-mode/README.md @@ -94,17 +94,23 @@ tags, and then generate with `hack/update-toc.sh`. - [Design Details](#design-details) - [Kubernetes Changes, Access Mode](#kubernetes-changes-access-mode) - [Scheduler Enforcement](#scheduler-enforcement) + - [Alpha](#alpha) + - [Beta](#beta) - [Mount Enforcement](#mount-enforcement) - [CSI Specification Changes, Volume Capabilities](#csi-specification-changes-volume-capabilities) - [Test Plan](#test-plan) + - [Prerequisite testing updates](#prerequisite-testing-updates) + - [Unit tests](#unit-tests) + - [Integration tests](#integration-tests) + - [e2e tests](#e2e-tests) - [Validation of PersistentVolumeSpec Object](#validation-of-persistentvolumespec-object) - [Mounting and Mapping with ReadWriteOncePod](#mounting-and-mapping-with-readwriteoncepod) - [Mounting and Mapping with ReadWriteOnce](#mounting-and-mapping-with-readwriteonce) - [Mapping Kubernetes Access Modes to CSI Volume Capability Access Modes](#mapping-kubernetes-access-modes-to-csi-volume-capability-access-modes) - [End to End Tests](#end-to-end-tests) - [Graduation Criteria](#graduation-criteria) - - [Alpha](#alpha) - - [Beta](#beta) + - [Alpha](#alpha-1) + - [Beta](#beta-1) - [GA](#ga) - [Upgrade / Downgrade Strategy](#upgrade--downgrade-strategy) - [Version Skew Strategy](#version-skew-strategy) @@ -112,6 +118,9 @@ tags, and then generate with `hack/update-toc.sh`. - [API Server Version N / Scheduler Version N-1 / Kubelet Version N-1 or N-2](#api-server-version-n--scheduler-version-n-1--kubelet-version-n-1-or-n-2) - [API Understands ReadWriteOncePod, CSI Sidecars Do Not](#api-understands-readwriteoncepod-csi-sidecars-do-not) - [CSI Controller Service Understands New CSI Access Modes, CSI Node Service Does Not](#csi-controller-service-understands-new-csi-access-modes-csi-node-service-does-not) + - [API Server Has Feature Enabled, Scheduler and Kubelet Do Not](#api-server-has-feature-enabled-scheduler-and-kubelet-do-not) + - [API Server Has Feature Enabled, Scheduler Does not, Kubelet Does](#api-server-has-feature-enabled-scheduler-does-not-kubelet-does) + - [API Server Has Feature Enabled, Scheduler Does, Kubelet Does Not](#api-server-has-feature-enabled-scheduler-does-kubelet-does-not) - [Production Readiness Review Questionnaire](#production-readiness-review-questionnaire) - [Feature Enablement and Rollback](#feature-enablement-and-rollback) - [Rollout, Upgrade and Rollback Planning](#rollout-upgrade-and-rollback-planning) @@ -389,6 +398,8 @@ This access mode will be enforced in two places: #### Scheduler Enforcement +##### Alpha + First is at the time a pod is scheduled. When scheduling a pod, if another pod is found using the same PVC and the PVC uses ReadWriteOncePod, then scheduling will fail and the pod will be considered UnschedulableAndUnresolvable. @@ -407,6 +418,26 @@ marked UnschedulableAndUnresolvable. [volume restrictions plugin]: https://github.com/kubernetes/kubernetes/blob/v1.21.0/pkg/scheduler/framework/plugins/volumerestrictions/volume_restrictions.go#L29 [node info cache]: https://github.com/kubernetes/kubernetes/blob/v1.21.0/pkg/scheduler/framework/types.go#L357 +##### Beta + +Support for pod preemption is enforced in beta. + +When a pod (A) with a ReadWriteOncePod PVC is scheduled, if another pod (B) is +found using the same PVC and pod (A) has higher priority, the scheduler will +return an "Unschedulable" status and attempt to preempt pod (B). + +The implementation goes like follows: + +In the PreFilter phase of the volume restrictions scheduler plugin, we will +build a cache of the ReadWriteOncePod PVCs for the pod-to-be-scheduled and the +number of conflicting PVC references (pods already using any of these PVCs). +This cache will be saved as part of the scheduler's cycleState and forwarded to +the following step. During AddPod and RemovePod, if there is a conflict we will +add or subtract from the number of conflicting references. During the Filter +phase, if the cache contains a non-zero amount of conflicting references then +return "Unschedulable". If the pod has a PVC that cannot be found, return +"UnschedulableAndUnresolvable". + #### Mount Enforcement As an additional precaution this will also be enforced at the time a volume is @@ -487,14 +518,7 @@ external-attacher, and external-resizer. +[X] I/we understand the owners of the involved components may require updates to +existing tests to make this code solid enough prior to committing the changes +necessary to implement this enhancement. + +##### Prerequisite testing updates + + + +None. New tests will be added for the transition to beta to support scheduler +changes. + +##### Unit tests + + + + + +In alpha, the following unit tests were updated. See +https://github.com/kubernetes/kubernetes/pull/102028 and +https://github.com/kubernetes/kubernetes/pull/103082 for more context. + +- `k8s.io/kubernetes/pkg/apis/core/helper`: `09-22-2022` - `26.2` +- `k8s.io/kubernetes/pkg/apis/core/v1/helper`: `09-22-2022` - `56.9` +- `k8s.io/kubernetes/pkg/apis/core/validation`: `09-22-2022` - `82.3` +- `k8s.io/kubernetes/pkg/controller/volume/persistentvolume`: `09-22-2022` - `79.4` +- `k8s.io/kubernetes/pkg/kubelet/volumemanager/cache`: `09-22-2022` - `66.3` +- `k8s.io/kubernetes/pkg/volume/csi/csi_client.go`: `09-22-2022` - `76.2` +- `k8s.io/kubernetes/pkg/scheduler/apis/config/v1beta2`: `09-22-2022` - `76.8` +- `k8s.io/kubernetes/pkg/scheduler/framework/plugins/volumerestrictions`: `09-22-2022` - `85` +- `k8s.io/kubernetes/pkg/scheduler/framework`: `09-22-2022` - `77.1` + +In beta, there will be additional unit test coverage for +`k8s.io/kubernetes/pkg/scheduler/framework/plugins/volumerestrictions` to cover +preemption logic. + +##### Integration tests + + + +Integration tests for scheduler plugin behavior are available here: + +- [test/integration/scheduler/filters/filters_test.go] : [testgrid] + + +[test/integration/scheduler/filters/filters_test.go]: https://github.com/kubernetes/kubernetes/blob/v1.25.2/test/integration/scheduler/filters/filters_test.go +[testgrid]: https://testgrid.k8s.io/presubmits-kubernetes-blocking#pull-kubernetes-integration&include-filter-by-regex=k8s.io/kubernetes/test/integration/scheduler/filters.TestUnschedulablePodBecomesSchedulable/scheduled_pod_uses_read-write-once-pod_pvc + +##### e2e tests + + + +For alpha, to test this feature end to end, we will need to check the following cases: + +- A ReadWriteOncePod volume will succeed mounting when consumed by a single pod + on a node +- A ReadWriteOncePod volume will fail to mount when consumed by a second pod on + the same node +- A ReadWriteOncePod volume will fail to attach when consumed by a second pod on + a different node + +For testing the mapping for ReadWriteOnce, we will update the CSI hostpath +driver to support the new volume capability access modes and cut a release. The +existing Kubernetes end to end tests will be updated to use this version which +will test the K8s to CSI access mode mapping behavior because most storage end +to end tests rely on the ReadWriteOnce access mode, which now maps to the +SINGLE_NODE_MULTI_WRITER CSI access mode. + +E2E tests for alpha behavior can be found here: + +- [test/e2e/storage/testsuites/readwriteoncepod.go] : [k8s-triage] + +For beta, we will want to cover the additional cases for preemption: + +- A high-priority pod requesting a ReadWriteOncePod volume that's already in-use + will result in the preemption of the pod previously using the volume +- A low-priority (or no priority) pod requesting a ReadWriteOncePod volume + that's already in-use will result in it being UnschedulableAndUnresolvable + +[test/e2e/storage/testsuites/readwriteoncepod.go]: https://github.com/kubernetes/kubernetes/blob/master/test/e2e/storage/testsuites/readwriteoncepod.go +[k8s-triage]: https://storage.googleapis.com/k8s-triage/index.html?pr=1&test=read-write-once-pod + #### Validation of PersistentVolumeSpec Object To test the validation logic of the PersistentVolumeSpec, we need to check the @@ -538,20 +675,6 @@ well as in CSI sidecars. #### End to End Tests -To test this feature end to end, we will need to check the following cases: - -- A ReadWriteOncePod volume will succeed mounting when consumed by a single pod - on a node -- A ReadWriteOncePod volume will fail to mount when consumed by a second pod on - the same node -- A ReadWriteOncePod volume will fail to attach when consumed by a second pod on - a different node - -For testing the mapping for ReadWriteOnce, we should update the mock CSI driver -to support the new volume capability access modes and cut a release. The -existing Kubernetes end to end tests will be updated to use this version which -will test the mapping behavior because most storage end to end tests rely on the -ReadWriteOnce access mode. ### Graduation Criteria @@ -623,8 +746,6 @@ in back-to-back releases. - Scheduler enforces ReadWriteOncePod access mode by marking pods as Unschedulable, preemption logic added - ReadWriteOncePod access mode has end to end test coverage -- Mock CSI driver supports `SINGLE_NODE_*_WRITER` access modes, relevant end to - end tests updated to use this driver - Hostpath CSI driver supports `SINGLE_NODE_*_WRITER` access modes, relevant end to end tests updated to use this driver @@ -653,8 +774,11 @@ feature gate enabled. Additionally they will need to update their CSI drivers and sidecars to versions that depend on the new Kubernetes API and CSI spec. When downgrading a cluster to disable this feature, the user will need to -restart the kube-apiserver with the ReadWriteOncePod feature gate disabled. When -disabling this feature gate, any existing volumes with the ReadWriteOncePod +disable the ReadWriteOncePod feature gate in kube-apiserver, kube-scheduler, and +kubelet. They may also roll back their CSI sidecars if they are encountering +errors. + +When disabling this feature gate, any existing volumes with the ReadWriteOncePod access mode will continue to exist, but can only be deleted. An alternative is to allow these volumes to be treated as ReadWriteOnce, however that would violate the intent of the user and so it is not recommended. @@ -735,6 +859,45 @@ node service does not understand these access modes, the behavior will depend on the CSI driver and how it treats unknown access modes. The recommendation is to upgrade the CSI drivers for the controller and node services together. +#### API Server Has Feature Enabled, Scheduler and Kubelet Do Not + +In this scenario, the kube-scheduler will not enforce the ReadWriteOncePod +access mode and proceed to schedule pods sharing the same ReadWriteOncePod PVCs. + +If you have two pods sharing the same ReadWriteOncePod PVC and they land on +separate nodes, the volume will [only be able to attach to a single node]. The +other pod will be stuck because the volume is already attached elsewhere. + +However, if both pods land on the same node, kubelet will not enforce the access +mode and allow both pods to mount the same ReadWriteOncePod volume. + +[only be able to attach to a single node]: https://github.com/kubernetes/kubernetes/blob/v1.26.1/pkg/volume/util/util.go#L716-L718 + +#### API Server Has Feature Enabled, Scheduler Does not, Kubelet Does + +In this scenario, the kube-scheduler will not enforce the ReadWriteOncePod +access mode and proceed to schedule pods sharing the same ReadWriteOncePod PVCs. + +If you have two pods sharing the same ReadWriteOncePod PVC and they land on +separate nodes, the volume will [only be able to attach to a single node]. The +other pod will be stuck because the volume is already attached elsewhere. + +If both pods land on the same node, kubelet will enforce the access mode and +only allow one pod to mount the volume. + +[only be able to be attached to a single node]: https://github.com/kubernetes/kubernetes/blob/v1.26.1/pkg/volume/util/util.go#L716-L718 + +#### API Server Has Feature Enabled, Scheduler Does, Kubelet Does Not + +In this scenario, the kube-scheduler will enforce the ReadWriteOncePod access +mode and ensure only a single pod may use a ReadWriteOncePod PVC. + +If you have two pods sharing the same ReadWriteOncePod PVC and they both have +`spec.nodeName` set, then scheduling will be bypassed. See [the above scenario] +on the expected behavior. + +[the above scenario]: #api-server-has-feature-enabled-scheduler-and-kubelet-do-not + ## Production Readiness Review Questionnaire +Rolling out this feature involves enabling the ReadWriteOncePod feature gate +across kube-apiserver, kube-scheduler, kubelet, and updating CSI driver and +sidecar versions. The order in which these are performed does not matter. + +The only way this rollout can fail is if a user does not update all components, +in which case the feature will not work. See the above section on version skews +for behavior in this scenario. + +Rolling out this feature does not impact any running workloads. + ###### What specific metrics should inform a rollback? +If pods using ReadWriteOncePod PVCs fail to schedule, you may see an increase in +`scheduler_unschedulable_pods{plugin="VolumeRestrictions"}`. + +For enforcement in kubelet, if there are issues you may see changes in metrics +for "volume_mount" operations. For example, an increase in +`storage_operation_duration_seconds_bucket{operation_name="volume_mount"}` for +larger buckets may indicate issues with mount. + ###### Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested? +Manual tests were performed to test the whole end to end flow. + +Starting with the upgrade path: + +- Unsuccessfully create workloads using ReadWriteOncePod PVCs prior to upgrade +- Perform the upgrade in two stages: + - First, update CSI sidecars + - Second, enable feature flag +- Successfully create workloads (1) and (2) using ReadWriteOncePod PVCs (1) and + (2). +- Unsuccessfully create workload (3) using ReadWriteOncePod PVC (2) (already + in-use) +- Observe the workloads and PVCs are healthy + +For the downgrade path: + +- Perform the downgrade in two stages: + - First, disable feature flag + - Second, downgrade CSI sidecars +- Observe the workloads and PVCs are still healthy +- Successfully delete workload (1) and ReadWriteOncePod PVC (1) + +And re-upgrading the feature again: + +- Perform the upgrade in two stages: + - First, update CSI sidecars + - Second, enable feature flag +- Successfully create workload (1) using ReadWriteOncePod PVC (1) +- Unsuccessfully create workload (3) using ReadWriteOncePod PVC (2) (already + in-use) +- Observe the workloads and PVCs are still healthy + ###### Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.? +No. + ### Monitoring Requirements +An operator can query for PersistentVolumeClaims and PersistentVolumes in the +cluster with the ReadWriteOncePod access mode. If any exist then the feature is +in use. + ###### What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service? -- [ ] Metrics - - Metric name: +- [X] Metrics + - Metric name: `scheduler_unschedulable_pods{plugin="VolumeRestrictions"}` - [Optional] Aggregation method: - Components exposing the metric: -- [ ] Other (treat as last resort) - - Details: + - kube-scheduler ###### What are the reasonable SLOs (Service Level Objectives) for the above SLIs? @@ -892,6 +1110,23 @@ high level (needs more precise definitions) those may be things like: - 99,9% of /health requests per day finish with 200 code --> +Defining an SLO for this metric is difficult because a pod may be +"Unschedulable" due to user error; they mistakenly scheduled a workload that has +volume conflicts. Additionally, this metric captures volume conflicts for some +legacy in-tree drivers that do not support the ReadWriteOncePod feature but are +part of the same scheduler plugin. + +Any unexpected increases in +`scheduler_unschedulable_pods{plugin="VolumeRestrictions"}` should be +investigated by checking the status of pods failing scheduling. + +If there are failures during attach, detach, mount, or unmount, you may see an +increase in the `storage_operation_duration_seconds` metric exported by +kubelet. + +You may also see an increase in the `csi_sidecar_operations_seconds_bucket` +metric exported by CSI sidecars if there are issues performing CSI operations. + ###### Are there any missing metrics that would be useful to have to improve observability of this feature? +No. + ### Dependencies +This feature depends on the cluster having CSI drivers and sidecars that use CSI +spec v1.5.0 at minimum. + +- [CSI drivers and sidecars] + - Usage description: + - Impact of its outage on the feature: Inability to perform CSI storage + operations on ReadWriteOncePod PVCs and PVs (for example, provisioning + volumes) + - Impact of its degraded performance or high-error rates on the feature: + Increase in latency performing CSI storage operations (due to repeated + retries) + ### Scalability +None. + ###### What steps should be taken if SLOs are not being met to determine the problem? +- Delete any unhealthy pods / PVCs using ReadWriteOncePod +- Disable the feature gate (target the API server first to prevent creation of new PVCs) +- Downgrade CSI sidecars and drivers if you're seeing elevated errors there + ## Implementation History

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