Google Professional Cloud DevOps Engineer Question 216
Single answerGoogle Cloud PlatformYour team is deploying a new version of a critical microservice to Google Kubernetes Engine (GKE). The microservice handles real-time user requests, and downtime must be minimized. Additionally, the team wants to test the new version with a small subset of users before rolling it out to the entire user base. Which deployment strategy is the most appropriate for this scenario?
- A
Blue/Green Deployment
- B
Canary Deployment
- C
Rolling Deployment
- D
Recreate Deployment
Show answer and explanation
Correct answer: B
Explanation
Canary Deployment is the most suitable strategy for this scenario because it allows the team to deploy the new version to a small subset of users first, monitor its performance, and minimize risk before gradually rolling it out to the entire user base. Other strategies like Blue/Green, Rolling, and Recreate do not meet the specific requirement of testing with a small subset of users while minimizing downtime.
- A. Incorrect.
Blue/Green Deployment involves creating a separate environment for the new version and switching traffic to it once it's fully validated. While this minimizes downtime, it does not allow testing with a small subset of users before full rollout.
- B. Correct.
Canary Deployment is the correct choice because it allows you to deploy the new version to a small subset of users, monitor its performance, and gradually increase the traffic if the version performs as expected. This minimizes risk and ensures real-time validation.
- C. Incorrect.
Rolling Deployment gradually replaces instances of the old version with the new version without downtime. However, it does not provide a mechanism to test with a small subset of users before rolling out to the entire user base.
- D. Incorrect.
Recreate Deployment stops all instances of the old version and replaces them with the new version at once. This strategy results in downtime and does not meet the requirement of minimizing downtime or testing with a subset of users.