Optimize pipelines performance cron schedule with variant-based grouping - #81738
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WalkthroughOpenShift Pipelines performance cron schedules were updated across nightly, pipeline-version, signing, and resource-pruning jobs. Several 1.19 max-concurrency job definitions were removed while corresponding 1.20 definitions and deployment version values were retained or updated. ChangesOpenShift Pipelines performance configuration
Estimated code review effort: 3 (Moderate) | ~25 minutes Suggested labels: Suggested reviewers: 🚥 Pre-merge checks | ✅ 15✅ Passed checks (15 passed)
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[REHEARSALNOTIFIER]
A total of 40 jobs have been affected by this change. The above listing is non-exhaustive and limited to 25 jobs. A full list of affected jobs can be found here Interacting with pj-rehearseComment: Once you are satisfied with the results of the rehearsals, comment: |
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/pj-rehearse ack |
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/approve |
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/lgtm |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: deekshith-24, siddardh-ra The full list of commands accepted by this bot can be found here. The pull request process is described here DetailsNeeds approval from an approver in each of these files:
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Summary
Optimizes the OpenShift Pipelines performance cron schedule to reduce CI infrastructure saturation on
aws-pipelines-performanceBoskos pool.Changes
Schedule Architecture
Concurrency Impact
Why variant-based grouping?
When filtering Grafana by
deploy_config = Standard, all version data points (nightly, 1.20, 1.21, 1.22) land on the exact same dates -- perfect alignment for side-by-side version comparison in KB articles and performance docs.Summary by CodeRabbit
Reorganized OpenShift Pipelines performance CI schedules to reduce saturation in the
aws-pipelines-performanceBoskos pool. Jobs are grouped by deployment variant and distributed across dedicated day-of-month and two-hour time slots, while selected days retain full nightly regression coverage.Removed periodic and optional Pipelines 1.19 jobs, updated coverage for Pipelines 1.20 variants, and scheduled Tkn-res jobs daily in a dedicated block. This lowers peak concurrency and aligns deployment-variant data points for comparison.