cluster-api-provider-azure
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e2e workload validation for managedclusters
/kind feature /area managedclusters
Describe the solution you'd like add workload validation e2e building on the work in #1386
Anything else you would like to add: nothing crazy, something comparable to existing capz clusters. mostly sanity testing.
alternatively/in addition: validation of the AKS ARM resource vs. the CRD?
https://github.com/kubernetes-sigs/cluster-api-provider-azure/pull/1509 gets us some initial validation
/good-first-issue
adding some additional validation would be fairly straightforward
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adding some additional validation would be fairly straightforward
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Hi @alexeldeib would like to pick this issue. I am not good with e2e so doing this will give me a good learning. So if i have understood correctly, we should scale up workloads and scale them down and then check if the workloads are being added as expected.
there are a few things we can do here:
- scale up/down agent pools like you mention, validate things follow our expectations
- run a more complex workload than the timesync daemonset.
- create a load balancer, is it reachable
- validate network policies
- etc.
mostly thinking we should try to align testing on unmanaged/managed clusters as closely as possible (where it makes sense).
cool, I will pick this. But I might bug you on slack for help. Please spare with me 😜
/assign @LochanRn
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/remove-lifecycle stale /unassign @LochanRn
Please feel free to reassign if you pick this up again
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