python-micrometer-gcp-cloud-monitoring
Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and resource labels, or correlating metrics with GCP services. Critical for GKE-based microservices with centralized observability in Google Cloud.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and resource labels, or correlating metrics with GCP services. Critical for GKE-based microservices with centralized observability in Google Cloud.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-21
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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