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Metrics

Metrics are numerical measurements collected over time. They're efficient for monitoring trends, setting up alerts, and building dashboards.

When to Use Metrics​

Metrics are ideal for:

  • Monitoring: Track request rates, error rates, latencies
  • Alerting: Trigger notifications when thresholds are exceeded
  • Dashboards: Visualize system health at a glance
  • Capacity planning: Understand resource usage trends

For detailed debugging of specific issues, use logs instead.

Automatic Metrics in PaaS​

If you run on Platon PaaS, you automatically get Kubernetes metrics with no setup required:

  • Container CPU usage
  • Container memory usage
  • Network traffic
  • Pod restarts

These metrics are available in your Grafana organization through the Kubernetes metrics data source.

Custom Metrics with OTLP​

To send your own application metrics:

  1. Instrument your app with OpenTelemetry
  2. Configure the OTLP exporter (see PaaS Full Observability)
  3. Access metrics in Grafana via your Mimir data source

Viewing Metrics​

  1. Go to Grafana
  2. Open Explore
  3. Select your Mimir data source
  4. Write a PromQL query

Example Queries​

Current value of a metric:

http_requests_total{namespace="my-namespace"}

Rate of requests per second:

rate(http_requests_total{namespace="my-namespace"}[5m])

Error rate percentage:

sum(rate(http_requests_total{status=~"5.."}[5m]))
/ sum(rate(http_requests_total[5m])) * 100

Query Language​

Mimir uses PromQL (Prometheus Query Language). Learn more:

Next Steps​

  • Dashboards - Visualize metrics over time
  • Alerting - Get notified when metrics cross thresholds