Question

Your team runs a set of microservices on GKE that already expose application metrics in Prometheus exposition format on a /metrics endpoint. You need these custom metrics ingested into Cloud Monitoring so you can query them alongside GKE system metrics and build dashboards, without deploying and maintaining your own Prometheus server or storage. What should you do?

Accepted Answer

Enable Google Cloud Managed Service for Prometheus on the cluster and deploy PodMonitoring resources to scrape the application /metrics endpoints.

Answer

Write a sidecar that reads /metrics and calls the Cloud Monitoring API to create custom metric descriptors and write time series for each metric.

Answer

Configure a log-based metric in Cloud Logging that parses the /metrics endpoint output emitted to stdout.

Answer

Deploy a self-managed Prometheus StatefulSet with persistent volumes and use a remote_write configuration to push data into Cloud Trace.