Metrics and Tracing in Kubernetes

What you will learn

“Metrics & Tracing in Kubernetes” equips teams to keep fast-moving, microservice clusters healthy and transparent—no matter how many pods are in flight.
Why microservices need new eyes see how containerized workloads and Kubernetes orchestration demand metrics and distributed traces for real-time health checks.
Metrics as the alerting backbone export cluster and app signals with Prometheus and turn them into rock-solid monitoring and SLAs.
Tracing: the missing link plug Jaeger into your stack to follow requests across pods and pinpoint latency you can’t see in metrics alone.
From node to namespace visibility record, visualize, and analyze every crucial signal to keep deployments smooth and outages short.
Hands-on examples throughout copy-paste configs and patterns that make Prometheus metrics and Jaeger traces first-class citizens in any Kubernetes environment.
AI ready at scale

Observability that was built for AI,
not repackaged for it

Run your agents and teams on the right foundation, so they don't approximate, they know

14 days, all features, no credit card required.