PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Question #143: Real Exam Question with Answer & Explanation

Question

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?

Options

• AUse Stackdriver Kubernetes Engine Monitoring.
• BUse Prometheus to collect and aggregate logs per container, and then analyze the results in
• CUse the Stackdriver Monitoring API to create custom metrics, and then organize your containers
• DUse Stackdriver Logging to export application logs to BigQuery, aggregate logs per container,

Explanation

To identify containers consuming the most CPU and memory in a GKE cluster, use the built-in Stackdriver Kubernetes Engine Monitoring, which provides out-of-the-box metrics for container resource utilization.

Common mistakes.

• B. Prometheus is primarily a metrics collection system, not a log aggregator, and therefore stating it collects 'logs per container' for CPU and memory usage is incorrect.
• C. While the Stackdriver Monitoring API allows for custom metrics, CPU and memory utilization for containers in GKE are standard metrics already collected by Stackdriver Kubernetes Engine Monitoring, making custom metric creation unnecessary.
• D. Stackdriver Logging and BigQuery are used for analyzing logs, not for directly monitoring real-time CPU and memory metrics of containers, which are distinct from log data.

Concept tested. GKE monitoring, container resource usage

Reference. https://cloud.google.com/stackdriver/docs/solutions/gke/kubernetes-engine-monitoring

No community discussion yet for this question.