Value Statement

This spike investigates the migration behavior and recovery mechanisms when Global Hub components (manager, agent, or operator) are unavailable for extended periods (e.g., 3-4 hours) that exceed the current migration timeout, and then restart. Understanding this behavior is critical for ensuring data consistency and proper migration state handling in production scenarios where components may experience prolonged downtime.

Investigation Areas

1. Current Migration Timeout Behavior
   • Document current timeout configuration and enforcement
   • Identify timeout-related code paths in migration logic
   • Review how timeouts are handled across manager, agent, and operator components
2. Impact of Component Downtime on Ongoing Migrations
   • Analyze what happens to in-progress migrations when manager becomes unavailable
   • Analyze what happens to in-progress migrations when agent becomes unavailable
   • Analyze what happens to in-progress migrations when operator becomes unavailable
   • Determine if migration state is persisted and how it's managed during downtime
3. Migration State Handling After Timeout
   • Investigate behavior when components restart after exceeding migration timeout (3-4 hours)
   • Identify if migrations auto-resume, restart, or fail permanently
   • Review migration state reconciliation logic on component restart
   • Analyze ZTP resource handling during extended component downtime
4. Potential Data Consistency Issues
   • Identify scenarios where data inconsistencies could occur
   • Review Kafka message handling during extended downtime
   • Analyze PostgreSQL state synchronization after prolonged outages
   • Investigate potential race conditions or orphaned resources
5. Recovery Mechanisms Needed
   • Document existing recovery mechanisms (if any)
   • Identify gaps in current recovery logic
   • Propose improvements for handling extended component downtime
   • Consider migration retry/resumption strategies

Definition of Done for Engineering Story Owner (Checklist)

• [ ] Document current migration timeout configuration and behavior
• [ ] Create test scenarios simulating 3-4 hour component downtime
• [ ] Analyze migration state handling for manager, agent, and operator downtime
• [ ] Identify data consistency risks and edge cases
• [ ] Document findings in a technical summary (Google Doc or Confluence page)
• [ ] Propose recommendations for recovery mechanisms or improvements
• [ ] Create follow-up story/epic issues for any identified improvements needed
• [ ] Link findings document to this spike issue

Development Complete
- Investigation completed across all three components (manager, agent, operator)
- Test scenarios documented with reproduction steps
- Findings documented with code references

Related Issues
- ACM-26549: Context issue about migration handling

Additional Notes

This investigation was generated to address concerns around migration stability when Global Hub components experience extended downtime beyond configured timeouts. The findings will inform whether additional recovery mechanisms, state persistence improvements, or timeout adjustments are needed.

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