Chains under the load memory consumption raises
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- Dominant language
- Go
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Description
Expected Behavior
I would expect after some time Chains under the load memory consumption would become constant - it will start freeing memory.
Is this expected, or is this some sort of memory leak?
Actual Behavior
This is a memory graph of a Chains signing 10k very simple TaskRuns with that are just printing "hello world" (Pipeline, PipelineRun)
CHains was started around 15:30 and started signing PRs and TRs:
Chains was configured with this:
kubectl patch TektonConfig/config \
--type merge \
-p '{"spec":{"chain":{"artifacts.pipelinerun.format": "slsa/v1"}}}'
kubectl patch TektonConfig/config \
--type merge \
-p '{"spec":{"chain":{"artifacts.pipelinerun.storage": "tekton"}}}'
kubectl patch TektonConfig/config \
--type='merge' \
-p='{"spec":{"chain":{"artifacts.taskrun.format": "slsa/v1"}}}'
kubectl patch TektonConfig/config \
--type='merge' \
-p='{"spec":{"chain":{"artifacts.taskrun.storage": "tekton"}}}'
Steps to Reproduce the Problem
- Run 10k PipelineRuns and wait for all of them to finish
- Then start the Chains and let it sign PRs and TRs
- This was automated in this repo with
signing-tr-tekton-bigbangscenario
Additional Info
- Kubernetes version:
Cluster is gone already, but it was ROSA OpenShift 4.14.11 with 5 compute nodes AWS EC2 m6a.2xlarge
- Tekton Pipeline version:
- chains-info: v0.19.0
- pipelines-as-code-info: v0.22.4
- pipelines-info: v0.53.2
- triggers-info: v0.25.3
- openshift-pipelines-operator-cluster-operations: v0.69.0
- openshift-pipelines-operator-lifecycle: 1.13.0
Reported this together with https://github.com/tektoncd/pipeline/issues/7691
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked performance scenario in pipeline.yaml, run.yaml, and its README, then reproduce the 10k PipelineRun signing workload described here. Review the related tektoncd/pipeline issue 7691 and the Chains implementation involved in signing. Done means identifying whether the memory growth is expected or a leak, with a validated fix or clear evidence and regression coverage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- go, kubernetes
- Domain
- devops, security
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100