How do I correlate logs, metrics, and traces for Managed Kubernetes?

Correlating logs, metrics, and traces in Managed Kubernetes can significantly enhance your observability and troubleshooting capabilities. By employing tools like Prometheus for metrics, Fluentd for log aggregation, and Jaeger for distributed tracing, you can gain a comprehensive view of your application's performance and behavior.

To implement this effectively, ensure that your Kubernetes clusters are properly instrumented with these tools. Here's a basic example of how you might configure your workloads to monitor logs, metrics, and traces:

// Example setup for Kubernetes pod monitoring apiVersion: v1 kind: Pod metadata: name: example-app spec: containers: - name: example-app image: example-image:latest env: - name: LOG_LEVEL value: "debug" ports: - containerPort: 8080 # Fluentd configuration to collect logs # Prometheus annotations for metrics scraping annotations: prometheus.io/scrape: "true" prometheus.io/port: "8080" fluentd.io/ignore: "true" # Add Jaeger agent as a sidecar for tracing - name: jaeger-agent image: jaegertracing/jaegr-agent:1.20 ports: - containerPort: 6832

Kubernetes Observability Log Correlation Metrics Monitoring Tracing Prometheus Fluentd Jaeger