3.1 Control Plane vs Agent Execution Plane
3.2 Project Scope Model
3.3 Data Flow: Source -> Release -> Pipeline -> Logs/Artifacts
3.4 Runtime Configuration Layers (global / project / environment)
3.5 Pipeline Execution Semantics
3.6 Release Governance Path
3.7 Rollback Architecture (Policy-driven)
3.8 Security and Trust Boundaries
3.9 State and Persistence Model
3.10 Scalability Model
3.11 Failure Modes and Recovery Patterns
3.12 Why This Architecture Works in Practice
14.6 Anti-loop and Safety Recommendations
Orbnetes deployment and release orchestration documentation for operators and platform teams.
Automatic rollback introduces risk of recursive failure loops if not designed carefully.
Recommended safety controls:
- No rollback-of-rollback recursion
Avoid enabling policy chains that trigger rollback repeatedly from rollback releases. - Single authoritative check target
Use one clear acceptance signal (pipeline or critical job), not multiple implicit signals. - Known-good rollback source
Ensure selected release/version is valid and deployable before incident occurs. - Bounded retry strategy
Do not treat rollback as infinite retry mechanism. Use explicit operator escalation after first rollback failure. - Separation of critical vs optional job failures
Combineallow_failureand check target design so non-critical failures do not trigger destructive rollback unnecessarily. - Approval and notification awareness
Ensure rollback-related events notify correct stakeholders immediately. - Runbook alignment
Document rollback policy per service and keep it aligned with real on-call procedures.
Operational checklist before enabling rollback in production
- rollback mode chosen intentionally,
- check target validated on non-prod scenarios,
- delay value reviewed by service owners,
- known-good rollback source exists,
- team understands expected behavior during active incident.
This keeps rollback fast, safe, and operationally trustworthy.