-
Notifications
You must be signed in to change notification settings - Fork 567
Entity Analytics 9.4 updates for UEBA integrations #17626
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Open
jmcarlock
wants to merge
43
commits into
main
Choose a base branch
from
ueba-9.4-euid-update
base: main
Could not load branches
Branch not found: {{ refName }}
Loading
Could not load tags
Nothing to show
Loading
Are you sure you want to change the base?
Some commits from the old base branch may be removed from the timeline,
and old review comments may become outdated.
Open
Changes from all commits
Commits
Show all changes
43 commits
Select commit
Hold shift + click to select a range
7c853a9
Add EUIDs
jmcarlock a05dfa5
fix indentation
jmcarlock 48c3abe
fix indentation
jmcarlock d3ddf59
update dashboards
jmcarlock ebdf1e8
add dashboard changes for host traffic anomalies package
jmcarlock 6b14d8f
restore host.name/user.name in influencers
jmcarlock 4688350
update ML anomalies datastream index pattern
jmcarlock 8447f3e
rename files for EA changes
jmcarlock f26acb5
rollback EUID changes, add required fields for entity resolution, cha…
jmcarlock b1d11be
roll back minumum stack version changes
jmcarlock a7b851a
Merge branch 'main' into ueba-9.4-euid-update
jmcarlock c1a9f4f
update hta
jmcarlock fd49b30
remove `agent.name` from PAD windows transform
jmcarlock c44062e
fix formatting
jmcarlock 40ffa64
Merge branch 'main' into ueba-9.4-euid-update
jmcarlock 5adcdef
update documentation to match kibana PR
jmcarlock 217f67b
fix ml job/transform fields
jmcarlock 6544e7a
fix PAD ML job formatting
jmcarlock e3b1834
Update changelog links, fix HTA version
jmcarlock 05d7410
fix version in readme
jmcarlock e606be9
fix version in readme
jmcarlock ca76ede
Update packages/lmd/docs/README.md
jmcarlock 6967f08
add `host.name` for Okta ML transforms/influencers. fix datafeed for …
jmcarlock 34d07b0
documentation consistency fix
jmcarlock 87b8007
add more verbose descriptions to changelog
jmcarlock 8804e56
fix index pattern in dashboard docs
jmcarlock c669892
change Okta ML job parition fields to `user.name`, add `user.name` as…
jmcarlock fbe77bd
add `user.name` to okta pivot transfrorm mappings
jmcarlock 871b1cf
change `on_failure` processor to set as `event.kind` is not an array
jmcarlock c196362
Fix broken anchor links in detection docs
theletterf 10757b9
Merge main into ueba-9.4-euid-update to resolve conflicts
jmcarlock 6c8c1d7
PAD readme fixes
jmcarlock 9432801
PAD Windows dashboard/rare region job fixes
jmcarlock 1fb8987
add missing by/over/partition field names to influencers
jmcarlock 6bc505c
add additional influencers fields from `field_name`
jmcarlock 883a6a2
Update packages/ded/docs/README.md
jmcarlock 16f3ea6
update readmes for concurrent rule release
jmcarlock 1e9b260
Add filter field data for transforms and jobs to readmes, improve doc…
jmcarlock 559e4bb
bump manifest version/add to changelog for Beaconing
jmcarlock 3ccc6eb
Merge branch 'main' into ueba-9.4-euid-update
jmcarlock c17b803
bump beaconing transform version to 1.5.4 to match manifest
jmcarlock a811a31
pin minimum Kibana version to 9.4.0, update documentation
jmcarlock 955169b
Merge branch 'main' into ueba-9.4-euid-update
jmcarlock File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Large diffs are not rendered by default.
Oops, something went wrong.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
57 changes: 57 additions & 0 deletions
57
packages/ded/kibana/dashboard/ded-ea-c0d7f060-7a6b-11ed-9b26-4bb95b2c57a6.json
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,57 @@ | ||
| { | ||
| "attributes": { | ||
| "description": "This dashboard provides an overview of anomalies found for Data Exfiltration Detection package.", | ||
| "hits": 0, | ||
| "kibanaSavedObjectMeta": { | ||
| "searchSourceJSON": "{\"query\":{\"query\":\"(job_id: \\\"ded_high_sent_bytes_destination_geo_country_iso_code_ea\\\" or job_id: \\\"ded_high_bytes_written_to_external_device_airdrop_ea\\\" or job_id: \\\"ded_high_bytes_written_to_external_device_ea\\\" or job_id: \\\"ded_rare_process_writing_to_external_device_ea\\\" or job_id: \\\"ded_high_sent_bytes_destination_ip_ea\\\" or job_id : \\\"ded_high_sent_bytes_destination_port_ea\\\" or job_id: \\\"ded_high_sent_bytes_destination_region_name_ea\\\") \",\"language\":\"kuery\"},\"filter\":[{\"meta\":{\"disabled\":false,\"negate\":false,\"alias\":null,\"key\":\"result_type\",\"field\":\"result_type\",\"type\":\"phrase\",\"params\":{\"query\":\"record\"},\"indexRefName\":\"kibanaSavedObjectMeta.searchSourceJSON.filter[0].meta.index\"},\"query\":{\"match_phrase\":{\"result_type\":\"record\"}},\"$state\":{\"store\":\"appState\"}}]}" | ||
| }, | ||
| "optionsJSON": { | ||
| "hidePanelTitles": false, | ||
| "syncColors": false, | ||
| "syncTooltips": false, | ||
| "useMargins": true | ||
| }, | ||
| "panelsJSON": "[{\"version\":\"8.5.1\",\"type\":\"lens\",\"gridData\":{\"x\":15,\"y\":0,\"w\":16,\"h\":8,\"i\":\"109fb1af-bae3-45a3-8284-8206b08ca0ca\"},\"panelIndex\":\"109fb1af-bae3-45a3-8284-8206b08ca0ca\",\"embeddableConfig\":{\"attributes\":{\"title\":\"\",\"visualizationType\":\"lnsLegacyMetric\",\"type\":\"lens\",\"references\":[{\"name\":\"indexpattern-datasource-layer-7236397d-5baf-4a72-b0ca-eb888f30103b\",\"id\":\".ml-anomalies-shared\",\"type\":\"index-pattern\"}],\"state\":{\"visualization\":{\"layerId\":\"7236397d-5baf-4a72-b0ca-eb888f30103b\",\"accessor\":\"6c8e42f3-f21c-4c6b-b9a1-2d855f08ee8f\",\"layerType\":\"data\"},\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filters\":[],\"datasourceStates\":{\"indexpattern\":{\"layers\":{\"7236397d-5baf-4a72-b0ca-eb888f30103b\":{\"columns\":{\"6c8e42f3-f21c-4c6b-b9a1-2d855f08ee8f\":{\"label\":\"Total affected hosts\",\"dataType\":\"number\",\"operationType\":\"unique_count\",\"scale\":\"ratio\",\"sourceField\":\"host.name\",\"isBucketed\":false,\"params\":{\"emptyAsNull\":true},\"customLabel\":true}},\"columnOrder\":[\"6c8e42f3-f21c-4c6b-b9a1-2d855f08ee8f\"],\"incompleteColumns\":{}}}}},\"internalReferences\":[],\"adHocDataViews\":{}}},\"hidePanelTitles\":true,\"enhancements\":{}}},{\"version\":\"8.5.1\",\"type\":\"lens\",\"gridData\":{\"x\":0,\"y\":8,\"w\":23,\"h\":15,\"i\":\"218d787c-8b8a-4c8d-9597-89fde21e354e\"},\"panelIndex\":\"218d787c-8b8a-4c8d-9597-89fde21e354e\",\"embeddableConfig\":{\"attributes\":{\"title\":\"\",\"visualizationType\":\"lnsDatatable\",\"type\":\"lens\",\"references\":[{\"name\":\"indexpattern-datasource-layer-4abb92df-6c5d-4ff8-a859-fc293ce60e70\",\"id\":\".ml-anomalies-shared\",\"type\":\"index-pattern\"}],\"state\":{\"visualization\":{\"columns\":[{\"columnId\":\"b04943cf-244d-4202-a241-5016f157fcf3\",\"isTransposed\":false},{\"columnId\":\"632aca7c-068e-42ca-ad9b-0533ab38d466\",\"isTransposed\":false}],\"layerId\":\"4abb92df-6c5d-4ff8-a859-fc293ce60e70\",\"layerType\":\"data\"},\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filters\":[],\"datasourceStates\":{\"indexpattern\":{\"layers\":{\"4abb92df-6c5d-4ff8-a859-fc293ce60e70\":{\"columns\":{\"b04943cf-244d-4202-a241-5016f157fcf3\":{\"label\":\"host.name\",\"dataType\":\"string\",\"operationType\":\"terms\",\"scale\":\"ordinal\",\"sourceField\":\"host.name\",\"isBucketed\":true,\"params\":{\"size\":20,\"orderBy\":{\"type\":\"column\",\"columnId\":\"632aca7c-068e-42ca-ad9b-0533ab38d466\"},\"orderDirection\":\"desc\",\"otherBucket\":true,\"missingBucket\":false,\"parentFormat\":{\"id\":\"terms\"}},\"customLabel\":true},\"632aca7c-068e-42ca-ad9b-0533ab38d466\":{\"label\":\"Number of anomalies\",\"customLabel\":true,\"dataType\":\"number\",\"operationType\":\"count\",\"isBucketed\":false,\"scale\":\"ratio\",\"sourceField\":\"___records___\",\"params\":{\"emptyAsNull\":true}}},\"columnOrder\":[\"b04943cf-244d-4202-a241-5016f157fcf3\",\"632aca7c-068e-42ca-ad9b-0533ab38d466\"],\"incompleteColumns\":{}}}}},\"internalReferences\":[],\"adHocDataViews\":{}}},\"hidePanelTitles\":false,\"enhancements\":{}},\"title\":\"Top 20 Hosts Associated with Data Exfiltration Activity\"},{\"version\":\"8.5.1\",\"type\":\"lens\",\"gridData\":{\"x\":23,\"y\":8,\"w\":25,\"h\":15,\"i\":\"b7d80672-3c60-441e-9edb-b05fa96e88d1\"},\"panelIndex\":\"b7d80672-3c60-441e-9edb-b05fa96e88d1\",\"embeddableConfig\":{\"attributes\":{\"title\":\"\",\"visualizationType\":\"lnsDatatable\",\"type\":\"lens\",\"references\":[{\"name\":\"indexpattern-datasource-layer-daaccc7d-bf90-4a63-848e-6181389ee601\",\"id\":\".ml-anomalies-shared\",\"type\":\"index-pattern\"}],\"state\":{\"visualization\":{\"layerId\":\"daaccc7d-bf90-4a63-848e-6181389ee601\",\"layerType\":\"data\",\"columns\":[{\"columnId\":\"baa67605-1ebc-418d-bd21-8254b22c0faf\"},{\"columnId\":\"acf8d722-a0dd-4eb9-9fac-1d784fc668fa\"}]},\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filters\":[],\"datasourceStates\":{\"indexpattern\":{\"layers\":{\"daaccc7d-bf90-4a63-848e-6181389ee601\":{\"columns\":{\"baa67605-1ebc-418d-bd21-8254b22c0faf\":{\"label\":\"process.name\",\"dataType\":\"string\",\"operationType\":\"terms\",\"scale\":\"ordinal\",\"sourceField\":\"process.name\",\"isBucketed\":true,\"params\":{\"size\":20,\"orderBy\":{\"type\":\"column\",\"columnId\":\"acf8d722-a0dd-4eb9-9fac-1d784fc668fa\"},\"orderDirection\":\"desc\",\"otherBucket\":true,\"missingBucket\":false,\"parentFormat\":{\"id\":\"terms\"}},\"customLabel\":true},\"acf8d722-a0dd-4eb9-9fac-1d784fc668fa\":{\"label\":\"Number of anomalies\",\"customLabel\":true,\"dataType\":\"number\",\"operationType\":\"count\",\"isBucketed\":false,\"scale\":\"ratio\",\"sourceField\":\"___records___\",\"params\":{\"emptyAsNull\":true}}},\"columnOrder\":[\"baa67605-1ebc-418d-bd21-8254b22c0faf\",\"acf8d722-a0dd-4eb9-9fac-1d784fc668fa\"],\"incompleteColumns\":{}}}}},\"internalReferences\":[],\"adHocDataViews\":{}}},\"hidePanelTitles\":false,\"enhancements\":{}},\"title\":\"Top 20 Processes Associated with Data Exfiltration Activity\"},{\"version\":\"8.5.1\",\"type\":\"lens\",\"gridData\":{\"x\":0,\"y\":23,\"w\":23,\"h\":15,\"i\":\"ff5d0e30-1f8f-4577-bd30-8458a3d3f93c\"},\"panelIndex\":\"ff5d0e30-1f8f-4577-bd30-8458a3d3f93c\",\"embeddableConfig\":{\"attributes\":{\"title\":\"\",\"visualizationType\":\"lnsDatatable\",\"type\":\"lens\",\"references\":[{\"name\":\"indexpattern-datasource-layer-d052422b-7069-4cc7-938c-a7802f3eb8cb\",\"id\":\".ml-anomalies-shared\",\"type\":\"index-pattern\"}],\"state\":{\"visualization\":{\"layerId\":\"d052422b-7069-4cc7-938c-a7802f3eb8cb\",\"layerType\":\"data\",\"columns\":[{\"columnId\":\"f3be7369-746c-4e7e-b75d-c431d55783ec\"},{\"columnId\":\"524a43f5-836a-4bca-9631-de7fa1e4335d\"}]},\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filters\":[],\"datasourceStates\":{\"indexpattern\":{\"layers\":{\"d052422b-7069-4cc7-938c-a7802f3eb8cb\":{\"columns\":{\"f3be7369-746c-4e7e-b75d-c431d55783ec\":{\"label\":\"host.name > user.name\",\"dataType\":\"string\",\"operationType\":\"terms\",\"scale\":\"ordinal\",\"sourceField\":\"host.name\",\"isBucketed\":true,\"params\":{\"size\":20,\"orderBy\":{\"type\":\"column\",\"columnId\":\"524a43f5-836a-4bca-9631-de7fa1e4335d\"},\"orderDirection\":\"desc\",\"otherBucket\":true,\"missingBucket\":false,\"parentFormat\":{\"id\":\"multi_terms\"},\"secondaryFields\":[\"user.name\"]},\"customLabel\":true},\"524a43f5-836a-4bca-9631-de7fa1e4335d\":{\"label\":\"Number of anomalies\",\"customLabel\":true,\"dataType\":\"number\",\"operationType\":\"count\",\"isBucketed\":false,\"scale\":\"ratio\",\"sourceField\":\"___records___\",\"params\":{\"emptyAsNull\":true}}},\"columnOrder\":[\"f3be7369-746c-4e7e-b75d-c431d55783ec\",\"524a43f5-836a-4bca-9631-de7fa1e4335d\"],\"incompleteColumns\":{}}}}},\"internalReferences\":[],\"adHocDataViews\":{}}},\"hidePanelTitles\":false,\"enhancements\":{}},\"title\":\"Top 20 User-Host Combinations Associated with Data Exfiltration Activity\"},{\"version\":\"8.5.1\",\"type\":\"lens\",\"gridData\":{\"x\":23,\"y\":23,\"w\":25,\"h\":15,\"i\":\"cb0d405a-f0d2-4328-a3bc-d50e842749f3\"},\"panelIndex\":\"cb0d405a-f0d2-4328-a3bc-d50e842749f3\",\"embeddableConfig\":{\"attributes\":{\"title\":\"\",\"visualizationType\":\"lnsChoropleth\",\"type\":\"lens\",\"references\":[{\"name\":\"indexpattern-datasource-layer-f97661af-4480-48ea-85a1-33c65e062d97\",\"id\":\".ml-anomalies-shared\",\"type\":\"index-pattern\"}],\"state\":{\"visualization\":{\"layerId\":\"f97661af-4480-48ea-85a1-33c65e062d97\",\"layerType\":\"data\",\"regionAccessor\":\"6fac8510-1db9-4b36-bb2a-737f6782ef33\",\"valueAccessor\":\"178e2b00-2c49-4971-bd7b-f6acc6d00cf6\"},\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filters\":[],\"datasourceStates\":{\"indexpattern\":{\"layers\":{\"f97661af-4480-48ea-85a1-33c65e062d97\":{\"columns\":{\"6fac8510-1db9-4b36-bb2a-737f6782ef33\":{\"label\":\" destination.geo.country_iso_code\",\"dataType\":\"string\",\"operationType\":\"terms\",\"scale\":\"ordinal\",\"sourceField\":\"destination.geo.country_iso_code\",\"isBucketed\":true,\"params\":{\"size\":20,\"orderBy\":{\"type\":\"column\",\"columnId\":\"178e2b00-2c49-4971-bd7b-f6acc6d00cf6\"},\"orderDirection\":\"desc\",\"otherBucket\":true,\"missingBucket\":false,\"parentFormat\":{\"id\":\"terms\"}},\"customLabel\":true},\"178e2b00-2c49-4971-bd7b-f6acc6d00cf6\":{\"label\":\"Number of anomalies\",\"customLabel\":true,\"dataType\":\"number\",\"operationType\":\"count\",\"isBucketed\":false,\"scale\":\"ratio\",\"sourceField\":\"___records___\",\"params\":{\"emptyAsNull\":true}}},\"columnOrder\":[\"6fac8510-1db9-4b36-bb2a-737f6782ef33\",\"178e2b00-2c49-4971-bd7b-f6acc6d00cf6\"],\"incompleteColumns\":{}}}}},\"internalReferences\":[],\"adHocDataViews\":{}}},\"hidePanelTitles\":false,\"enhancements\":{}},\"title\":\"Top 20 Geo Locations Associated with Data Exfiltration Activity by ISO Code\"},{\"version\":\"8.5.1\",\"type\":\"lens\",\"gridData\":{\"x\":0,\"y\":38,\"w\":48,\"h\":13,\"i\":\"c2a276c9-b22f-4791-afd6-e0eee9b6cc05\"},\"panelIndex\":\"c2a276c9-b22f-4791-afd6-e0eee9b6cc05\",\"embeddableConfig\":{\"attributes\":{\"title\":\"\",\"visualizationType\":\"lnsDatatable\",\"type\":\"lens\",\"references\":[{\"type\":\"index-pattern\",\"id\":\".ml-anomalies-shared\",\"name\":\"indexpattern-datasource-layer-11e91ade-6c94-46e8-96e7-592f5e522898\"}],\"state\":{\"visualization\":{\"columns\":[{\"columnId\":\"fa763272-957c-4ed5-a494-8ee580023bcc\",\"isTransposed\":false},{\"columnId\":\"429585bf-154f-49ec-97cd-009752a01a59\",\"isTransposed\":false}],\"layerId\":\"11e91ade-6c94-46e8-96e7-592f5e522898\",\"layerType\":\"data\"},\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filters\":[],\"datasourceStates\":{\"indexpattern\":{\"layers\":{\"11e91ade-6c94-46e8-96e7-592f5e522898\":{\"columns\":{\"fa763272-957c-4ed5-a494-8ee580023bcc\":{\"label\":\"File name > File path > External device type\",\"dataType\":\"string\",\"operationType\":\"terms\",\"scale\":\"ordinal\",\"sourceField\":\"file.name\",\"isBucketed\":true,\"params\":{\"size\":20,\"orderBy\":{\"type\":\"column\",\"columnId\":\"429585bf-154f-49ec-97cd-009752a01a59\"},\"orderDirection\":\"desc\",\"otherBucket\":true,\"missingBucket\":false,\"parentFormat\":{\"id\":\"multi_terms\"},\"secondaryFields\":[\"file.path\",\"file.Ext.device.bus_type\"]},\"customLabel\":true},\"429585bf-154f-49ec-97cd-009752a01a59\":{\"label\":\"Number of anomalies\",\"customLabel\":true,\"dataType\":\"number\",\"operationType\":\"count\",\"isBucketed\":false,\"scale\":\"ratio\",\"sourceField\":\"___records___\",\"params\":{\"emptyAsNull\":true}}},\"columnOrder\":[\"fa763272-957c-4ed5-a494-8ee580023bcc\",\"429585bf-154f-49ec-97cd-009752a01a59\"],\"incompleteColumns\":{}}}}},\"internalReferences\":[],\"adHocDataViews\":{}}},\"hidePanelTitles\":false,\"enhancements\":{}},\"title\":\"Top 20 File names, File paths and External device type Combinations Associated with Data Exfiltration Activity\"}]", | ||
|
jmcarlock marked this conversation as resolved.
|
||
| "timeRestore": false, | ||
| "title": "Data Exfiltration Detection Dashboard (Entity Analytics)", | ||
| "version": 2 | ||
| }, | ||
| "coreMigrationVersion": "8.5.1", | ||
| "id": "ded-ea-c0d7f060-7a6b-11ed-9b26-4bb95b2c57a6", | ||
| "migrationVersion": { | ||
| "dashboard": "8.5.0" | ||
| }, | ||
| "references": [ | ||
| { | ||
| "id": ".ml-anomalies-shared", | ||
| "name": "109fb1af-bae3-45a3-8284-8206b08ca0ca:indexpattern-datasource-layer-7236397d-5baf-4a72-b0ca-eb888f30103b", | ||
| "type": "index-pattern" | ||
| }, | ||
| { | ||
| "id": ".ml-anomalies-shared", | ||
| "name": "218d787c-8b8a-4c8d-9597-89fde21e354e:indexpattern-datasource-layer-4abb92df-6c5d-4ff8-a859-fc293ce60e70", | ||
| "type": "index-pattern" | ||
| }, | ||
| { | ||
| "id": ".ml-anomalies-shared", | ||
| "name": "b7d80672-3c60-441e-9edb-b05fa96e88d1:indexpattern-datasource-layer-daaccc7d-bf90-4a63-848e-6181389ee601", | ||
| "type": "index-pattern" | ||
| }, | ||
| { | ||
| "id": ".ml-anomalies-shared", | ||
| "name": "ff5d0e30-1f8f-4577-bd30-8458a3d3f93c:indexpattern-datasource-layer-d052422b-7069-4cc7-938c-a7802f3eb8cb", | ||
| "type": "index-pattern" | ||
| }, | ||
| { | ||
| "id": ".ml-anomalies-shared", | ||
| "name": "cb0d405a-f0d2-4328-a3bc-d50e842749f3:indexpattern-datasource-layer-f97661af-4480-48ea-85a1-33c65e062d97", | ||
| "type": "index-pattern" | ||
| }, | ||
| { | ||
| "id": ".ml-anomalies-shared", | ||
| "name": "c2a276c9-b22f-4791-afd6-e0eee9b6cc05:indexpattern-datasource-layer-11e91ade-6c94-46e8-96e7-592f5e522898", | ||
| "type": "index-pattern" | ||
| } | ||
| ], | ||
| "type": "dashboard" | ||
| } | ||
Oops, something went wrong.
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Uh oh!
There was an error while loading. Please reload this page.