Design a CI/CD Pipeline

I would design this pipeline starting with a Git-based trigger that initiates a build in Azure DevOps. First, we compile the microservice and store the immutable Docker image in a private registry like Azure Container Registry, ensuring versioning is strict. Next, the CI phase runs a suite of unit tests for immediate feedback. Once passed, the CD phase begins with integration tests against a staging environment that mimics production topology. We then execute load tests to verify scalability under expected traffic spikes before promoting the artifact to production. For deployment, I recommend a Blue/Green strategy for our core payment services to guarantee instant rollback capability if issues arise. For less critical services, a Canary release allows us to route 5% of traffic initially, gradually increasing it while monitoring error rates and latency via Application Insights. This approach balances speed with safety, aligning with Microsoft's emphasis on 'reliability engineering.' Finally, we implement automated health checks; if metrics deviate beyond thresholds, the pipeline triggers an automatic rollback to the previous stable version without human intervention.