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Understanding how to monitor your GCP resources and manage costs is just as important as knowing how to build with them. GCP provides comprehensive observability tools through Google Cloud Observability (formerly Stackdriver) and robust billing management features.
Cloud Monitoring collects metrics, creates dashboards, and triggers alerts across your GCP resources and applications.
Cloud Monitoring automatically collects metrics from GCP services:
| Service | Example Metrics |
|---|---|
| Compute Engine | CPU utilisation, disk I/O, network traffic |
| Cloud SQL | Database connections, query latency, storage usage |
| Cloud Run | Request count, request latency, instance count |
| Cloud Functions | Invocations, execution time, errors |
| Cloud Storage | Total bytes, object count, request count |
You can create your own metrics using the Cloud Monitoring API or OpenTelemetry:
from google.cloud import monitoring_v3
client = monitoring_v3.MetricServiceClient()
# Write custom metric data points
Cloud Monitoring provides:
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