Google Cloud Professional Cloud DevOps Engineer — Question 17

You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

Answer options

• A. Use Stackdriver Kubernetes Engine Monitoring.
• B. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
• C. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
• D. Use Stackdriver Logging to export application logs to BigQuery, aggregate logs per container, and then analyze CPU and memory consumption.

Correct answer: A

Explanation

The correct answer is A because Stackdriver Kubernetes Engine Monitoring provides built-in tools specifically designed to monitor resource usage across Kubernetes clusters, making it easy to identify containers that are using the most CPU and memory. Options B, C, and D involve more complex setups and may not provide the same level of direct monitoring for resource usage as Stackdriver Monitoring does.