Exam Professional Cloud DevOps Engineer topic 1 question 100 discussion

I vote for A as in Blue/Green deployment you can rollback quickly after facing the performance issue, but in Canary you can detect performance issue on partial deployment and rollback before the issue get affected.

After consideration, Canary approach is better in this specific scenario as it allows for monitoring the performance of the new version in production while minimizing the risk of widespread issues.

B. Blue/green deployments involve deploying the new version alongside the existing one, routing only a portion of the traffic to the new version initially. Once you verify that the new version is performing well and there are no issues, you can fully migrate traffic to the new version. This allows for a safe rollback if any issues arise.

The recommended approach to automate the deployment of the new version of a containerized application to production on Google Kubernetes Engine (GKE) while addressing potential performance issues is (Option A). Utilizing canary deployments within a continuous delivery pipeline allows for a controlled and gradual rollout of the new version. By monitoring performance metrics with Cloud Monitoring, the deployment process can be informed by real-time insights. The traffic can be incrementally increased as supported by the monitored metrics, minimizing the risk of performance problems. This approach provides a safety net, allowing for quick identification and mitigation of issues before a full deployment, ensuring a smooth transition to the new version with minimal impact on production.