CI/CD for eKYC¶
Definition¶
Continuous Integration and Deployment pipelines for eKYC — deploying code changes, model updates, and configuration changes safely.
Deployment Strategies¶
| Strategy | How It Works | Risk Level |
|---|---|---|
| Blue-green | Deploy to identical environment, switch traffic | Low |
| Canary | Route 5-10% traffic to new version, monitor | Low |
| Rolling | Gradually replace instances | Medium |
| Shadow | New version processes real traffic but doesn't serve results | Lowest |
What Gets Deployed¶
| Component | Frequency | Strategy |
|---|---|---|
| API code | Weekly-monthly | Blue-green or canary |
| ML models | Monthly-quarterly | Shadow → canary → full rollout |
| SDK | Monthly | Version-gated, backward compatible |
| Rules/thresholds | Weekly | Feature flags, instant rollback |
| Screening lists | Daily | Automated, no deployment needed |
Key Takeaways¶
Summary
- ML model deployments require shadow testing before serving — a bad model update is catastrophic
- Canary deployments for API changes — monitor error rates before full rollout
- Feature flags for threshold/rule changes — enable instant rollback without deployment
- Automated rollback on error rate spike is essential