OpenTelemetry Integration

Diffy + Observability

The data produced by Diffy can provide valuable insights and make them easily accessible within your existing observability infrastructure. OpenTelemetry provides a standardized mechanism for Diffy to leverage your observability stack to provide useful logs, metrics, and traces.

Diffy's bundled docker-compose script gives you a taste of these capabilities by leveraging:

• Grafana for visualization
• Loki for logs
• Prometheus for metrics
• Tempo and Jaeger for tracing (you only need one but this example shows you both)

Run docker-compose up with this docker-compose.yml configuration and then send some traffic to your deployed topology:

curl -s -i -H Canonical-Resource : endpoint-test http://localhost:8880/success?value=happy-tester
curl -s -i -H Canonical-Resource : endpoint-test http://localhost:8880/noise?value=happy-tester
curl -s -i -H Canonical-Resource : endpoint-test http://localhost:8880/regression?value=happy-tester
curl -s -i -H Canonical-Resource : endpoint-test http://localhost:8880/noisy_regression?value=happy-tester

You can now access live results as follows:

• Diffy
• Grafana Dashboards
  • Loki (logs)
  • Tempo (tracing)
  • Prometheus (metrics)

You can also access Jaeger and Prometheus directly.

Credit

The above integration is largely based on examples shared on the OpenTelemetry Java Instrumentation website.