Advanced Observability with Istio
Implement distributed tracing with Jaeger, Prometheus metrics collection, Kiali visualization, and custom telemetry pipelines in your Istio service mesh.
Lab Overview
🛠Lab from the Platform Engineering Bootcamp. Used in Week 19. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/platform-engineering-bootcamp Parent course(s):
- Week 19: Service Mesh with Istio (slug: service-mesh-istio)
🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running TaskFlow project that grows across all 21 weeks of the bootcamp.
Implement distributed tracing with Jaeger, collect metrics with Prometheus, visualize service mesh with Kiali, and configure telemetry pipelines.
What You'll Learn
Configure Jaeger distributed tracing and inspect end-to-end traces across the pre-instrumented Bookinfo microservices, which forward trace-context headers so per-hop Envoy spans stitch together
Collect Prometheus metrics from the Istio service mesh and visualize them in Grafana dashboards
Use Kiali to inspect service mesh topology, traffic flows, and health indicators
Define custom Telemetry resources to control metric and trace sampling rates for specific workloads
Identify and diagnose performance bottlenecks using service mesh observability data
Technologies Covered
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