Define and collect input metrics about Kubernetes releases

[saschagrunert]

Target is to define a set of metrics around Kubernetes releases to elaborate on the reduced release cadence. This discussion came up during the KEP implementation phase. The planned survey outcome can help us to interpret the raw data later on, too.

The following questions have to be resolved before starting to collect the metrics:

• Which metrics do we want to collect?
  For example, the number of …
  • exceptions requests
  • PR merged after code freeze
  • tests fixed during test freeze
  • issues open during code/test freeze
  • backport per minor release
  • requests for exceptions after code freeze
• How do we want to collect the data?
  It could be possible that the release team leads collect the metrics before every retrospective and present them there.
  This would allow us to gather feedback within the retrospective before interpreting the data or correlating it to anything.
• How to track the metrics over multiple releases?
  Making assertions based on the data needs multiple releases as input. We should take care as a SIG to keep track
  of them and evaluate periodically.

/priority important-longterm
/cc @aojea
/help

[aojea]

We have to start defining which areas we want to measure, then define the metrics and the actions associated to each metrics, (I'm making up the examples), i.e.:

Quality:

• CI reliability:
  Description: This measure the CI health of the project based on some specific jobs considered blocking, this is a daily metric
  Metrics: The metrics is obtained from https://testgrid.k8s.io/sig-release-master-blocking , based on number of failed jobs
  Threshold: 99%
  Actions: Immediate action from all SIGs to fix the failing jobs
• Stability:
  Description: Measure the stability of the project based on the number of backports to the stable branches:
  Metrics: Cherry-picks approved per minor release
  Threshold: this should be trend based, going higher means we are doing more backports, and it may indicate we are neglecting quality
  Actions: ....

Release:

• Exception requests:
  Description: It measures the project development speed vs current defined timelines. This is a per release metrics.
  Metrics: The metrics is obtained based on the exceptions request to include features after code free time. The information can be clustered if the process use some kind of form, i.e. what is the reason to request an exception: feature to big, bad planning, ....
  Threshold: 10% , if the release expected to have 50 features, only 5 exceptions max are expected
  Actions: If there are many exception request it is a clear symptom that the developer speed/planning is not aligned to the release timeline, it should require wide discussion within the project (maybe scalated to steering ?? )....

ideally, everything should be automated and you just can build a dashboard with that, per example, the exception requests instead of an email can be an issue or a PR, or a form, so you can automate it.

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[saschagrunert]

@aojea are you still planning to work on this? :)

[aojea]

@aojea are you still planning to work on this? :)

Sorry, I was just sharing some experience and things that worked for me in response to the KEP about the release cadence.
I really don't have time ...

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This bot triages issues and PRs according to the following rules:

• After 90d of inactivity, lifecycle/stale is applied
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