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?
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.
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A. Using Stackdriver Kubernetes Engine Monitoring means that you use a service that allows you to monitor, troubleshoot, and improve the performance of your GKE clusters and workloads. Stackdriver Kubernetes Engine Monitoring automatically collects metrics, logs, and events from your GKE clusters and containers, and provides you with dashboards, charts, alerts, and reports to help you analyze them. You can use Stackdriver Kubernetes Engine Monitoring to identify containers that are using the most CPU and memory by filtering and sorting the metrics by container name, namespace, pod name, or node name.
B