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Releases: kruize/autotune

v0.0.24

09 Sep 13:53
fdfb4b1
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Kruize Version 0.0.24_rm released!

You can get it from
docker.io/kruize/autotune_operator:0.0.24_rm
quay.io/kruize/autotune_operator:0.0.24_rm
Branch: remote_monitoring, Tag: v0.0.24
Commit id: fdfb4b1

Release Changelog
[Deploy] Added 2 new kubernetes cluster type support AKS (Azure Kubernetes Service) and KinD
[API] Support for create, list and delete operations for metric profile
[API] Experimental Support for new Kubernetes workload type ‘job’
[Bug] Resolved the Kruize prometheus notification issue
[Tests] End to end local monitoring testing
[Tests] Tests to support Metric Profile API operations

Full list of PRs can be found here

v0.0.20

07 Nov 10:27
da75ffe
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Kruize Version 0.0.20_rm released!

You can get it from
docker pull docker.io/kruize/autotune_operator:0.0.20_rm
docker pull quay.io/kruize/autotune_operator:0.0.20_rm
Commit id: da75ffe66d1677375167a9c88046b0dbaadf41ac

Release Changelog

[API] V2 of the API, updates the listRecommendations / updateRecommendations API JSON to add the new recommendations profile.
[Deploy] No updates
[UI] A new version of the Kruize UI (0.0.3) has been released that supports the new recommendation profiles.
[DB] No updates
[Workflow] No updates
[Recommendations] update_recommendations JSON has been updated to add “cost” and “performance” recommendation engines.
[Recommendations] The definition of the two recommendation engines (or profiles) is documented here.
[Test] Test automation improvements
[Test] Running tests through comments
[Test] Script to grab Kruize metrics from prometheus
[Bug] Better validation of updtes_results params
Full list of PRs can be found here.

The primary focus of this release is adding the recommendations profile. We now support two different recommendation “profiles”, cost and performance. Currently they only affect CPU recommendations alone. Cost recommendations correspond to the 60th percentile of the CPU usage, while the performance profile recommendations correspond to the 98th percentile of CPU usage for the related container.