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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