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CAPI v1.5.0 released, update to support it #611

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nawazkh opened this issue Jul 4, 2023 · 4 comments · Fixed by #674
Closed

CAPI v1.5.0 released, update to support it #611

nawazkh opened this issue Jul 4, 2023 · 4 comments · Fixed by #674

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@nawazkh
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nawazkh commented Jul 4, 2023

CAPI v1.5.0-beta.0 has been released and is ready for testing.
Looking forward to your feedback before CAPI 1.5.0 release, the 25th July 2023!

For quick reference

Following are the planned dates for the upcoming releases

Release Expected Date
v1.5.0-beta.x Tuesday 5th July 2023
release-1.5 branch created (Begin [Code Freeze]) Tuesday 11th July 2023
v1.5.0-rc.0 released Tuesday 11th July 2023
release-1.5 jobs created Tuesday 11th July 2023
v1.5.0-rc.x released Tuesday 18th July 2023
v1.5.0 released Tuesday 25th July 2023
@cprivitere
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This is now an issue for tracking just straight up upgrading to 1.5.0.

@cprivitere cprivitere changed the title CAPI v1.5.0-beta.0 has been released and is ready for testing CAPI v1.5.0 released, update to support it Jul 28, 2023
@displague
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displague commented Dec 6, 2023

Created a new issue for one of the newer features tied to this CAPI release:

@displague
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displague commented Feb 11, 2024

More detail from the upstream 1.5 release:

  • MS preflight checks to improve cluster stability (behind feature gate).
  • Support for concurrent MachineDeployment upgrades in classy clusters.
  • Support for add-on providers in clusterctl.
  • Performance improvements when using CAPI at scale, new dev-tools and a new in-memory infrastructure provider for scale testing.
  • MachinePool Machines improve MachinePool observability.
    clusterctl plugins allow custom code to be called from clusterctl.
  • More metrics have been enabled through a custom Kube State Metrics config, and example Grafana, Prometheus and other observability tool configurations have been added to the repo.
  • Cluster controller now avoids double rollouts during Kubernetes upgrades of classy clusters.

ClusterAPI Add-on Provider support can assist in how templates are offered. For example:

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3 participants