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Epic
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Resolution: Done
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Critical
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Global Hub 1.1.0
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Optimize the resource usage for global hub components
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False
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None
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False
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Not Selected
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To Do
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0% To Do, 0% In Progress, 100% Done
Epic Goal
Understand the resource usage for each component and to see if we can reduce the footprint.
Why is this important?
Here is the resource usage for only 1 managed hub cluster:
Global hub cluster:
NAME CPU(cores) MEMORY(bytes) kafka-entity-operator-5dff676756-4wr22 12m 517Mi kafka-kafka-0 18m 651Mi kafka-kafka-1 19m 624Mi kafka-kafka-2 15m 616Mi kafka-zookeeper-0 11m 232Mi kafka-zookeeper-1 6m 256Mi kafka-zookeeper-2 16m 229Mi multicluster-global-hub-grafana-84479ffb6c-99lbj 5m 107Mi multicluster-global-hub-grafana-84479ffb6c-g78nj 4m 119Mi multicluster-global-hub-manager-d6b6b65dd-k6ssx 8m 45Mi multicluster-global-hub-manager-d6b6b65dd-zctt4 3m 43Mi multicluster-global-hub-operator-67fc5687c4-mcrn8 0m 60Mi multicluster-global-hub-postgres-0 10m 42Mi strimzi-cluster-operator-v0.36.1-6d9c8cccd7-xvt95 1m 367Mi
managed hub cluster:
NAME CPU(cores) MEMORY(bytes) multicluster-global-hub-agent-7458995bc4-6xzj5 6m 125Mi
Scenarios
Acceptance Criteria
- is it possible to reduce the footprint? especially for agent and kafka.
- Need to have a document about the performance results
Dependencies (internal and external)
- ...
Previous Work (Optional):
- ...
Open questions:
- …
Done Checklist
- CI - CI is running, tests are automated and merged.
- Release Enablement <link to Feature Enablement Presentation>
- DEV - Upstream code and tests merged: <link to meaningful PR or GitHub
Issue> - DEV - Upstream documentation merged: <link to meaningful PR or GitHub
Issue> - DEV - Downstream build attached to advisory: <link to errata>
- QE - Test plans in Polarion: <link or reference to Polarion>
- QE - Automated tests merged: <link or reference to automated tests>
- DOC - Doc issue opened with a completed template. Separate doc issue
opened for any deprecation, removal, or any current known
issue/troubleshooting removal from the doc, if applicable.
