add python scaffold folder and autodevelopment system

This commit is contained in:
Oleksandr Bezdieniezhnykh
2026-03-25 21:57:26 +02:00
parent 1009af4a32
commit d8f91ef6a9
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# Deployment Procedures Template
Save as `_docs/04_deploy/deployment_procedures.md`.
---
```markdown
# [System Name] — Deployment Procedures
## Deployment Strategy
**Pattern**: [blue-green / rolling / canary]
**Rationale**: [why this pattern fits the architecture]
**Zero-downtime**: required for production deployments
### Graceful Shutdown
- Grace period: 30 seconds for in-flight requests
- Sequence: stop accepting new requests → drain connections → shutdown
- Container orchestrator: `terminationGracePeriodSeconds: 40`
### Database Migration Ordering
- Migrations run **before** new code deploys
- All migrations must be backward-compatible (old code works with new schema)
- Irreversible migrations require explicit approval
## Health Checks
| Check | Type | Endpoint | Interval | Failure Threshold | Action |
|-------|------|----------|----------|-------------------|--------|
| Liveness | HTTP GET | `/health/live` | 10s | 3 failures | Restart container |
| Readiness | HTTP GET | `/health/ready` | 5s | 3 failures | Remove from load balancer |
| Startup | HTTP GET | `/health/ready` | 5s | 30 attempts | Kill and recreate |
### Health Check Responses
- `/health/live`: returns 200 if process is running (no dependency checks)
- `/health/ready`: returns 200 if all dependencies (DB, cache, queues) are reachable
## Staging Deployment
1. CI/CD builds and pushes Docker images tagged with git SHA
2. Run database migrations against staging
3. Deploy new images to staging environment
4. Wait for health checks to pass (readiness probe)
5. Run smoke tests against staging
6. If smoke tests fail: automatic rollback to previous image
## Production Deployment
1. **Approval**: manual approval required via [mechanism]
2. **Pre-deploy checks**:
- [ ] Staging smoke tests passed
- [ ] Security scan clean
- [ ] Database migration reviewed
- [ ] Monitoring alerts configured
- [ ] Rollback plan confirmed
3. **Deploy**: apply deployment strategy (blue-green / rolling / canary)
4. **Verify**: health checks pass, error rate stable, latency within baseline
5. **Monitor**: observe dashboards for 15 minutes post-deploy
6. **Finalize**: mark deployment as successful or trigger rollback
## Rollback Procedures
### Trigger Criteria
- Health check failures persist after deploy
- Error rate exceeds 5% for more than 5 minutes
- Critical alert fires within 15 minutes of deploy
- Manual decision by on-call engineer
### Rollback Steps
1. Redeploy previous Docker image tag (from CI/CD artifact)
2. Verify health checks pass
3. If database migration was applied:
- Run DOWN migration if reversible
- If irreversible: assess data impact, escalate if needed
4. Notify stakeholders
5. Schedule post-mortem within 24 hours
### Post-Mortem
Required after every production rollback:
- Timeline of events
- Root cause
- What went wrong
- Prevention measures
## Deployment Checklist
- [ ] All tests pass in CI
- [ ] Security scan clean (zero critical/high CVEs)
- [ ] Docker images built and pushed
- [ ] Database migrations reviewed and tested
- [ ] Environment variables configured for target environment
- [ ] Health check endpoints verified
- [ ] Monitoring alerts configured
- [ ] Rollback plan documented and tested
- [ ] Stakeholders notified of deployment window
- [ ] On-call engineer available during deployment
```