[AI experiment] Optimize service adoption ordering for CI performance #1006
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🤖 AI Experiment: Service Adoption Optimization
This PR is an AI-generated experiment designed to address the CI timeout issues observed in PR #970 "LDAP Adoption tests" where the
adoption-standalone-to-crc-no-cephjob consistently times out after 4 hours and 8 minutes.🎯 Problem Statement
The current adoption test flow runs 16 OpenStack services sequentially, taking 4+ hours and hitting CI timeout limits. This blocks legitimate feature development and testing.
💡 Solution Approach
This optimization restructures service adoption ordering based on actual dependencies:
Optimized Service Groups:
📊 Expected Benefits
🔧 Technical Changes
Modified Files:
tests/playbooks/test_minimal.yaml- Optimized service orderingtests/playbooks/test_with_ceph.yaml- Optimized service orderingCI_PARALLELIZATION_SUMMARY.md- Comprehensive documentationKey Improvements:
🧪 Testing Strategy
This is an experimental approach that should be tested in CI to validate:
🔗 Related Issues
📝 Notes
This optimization maintains backward compatibility while preparing the codebase for future parallelization improvements. The structure enables external orchestration tools to run service groups in parallel when CI infrastructure supports it.
This PR was generated by AI analysis of the OpenStack service dependencies and CI performance bottlenecks.