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Kubernetes introduces unique observability challenges and opportunities. Pods are ephemeral, workloads are dynamic, and the platform itself generates rich telemetry. This lesson covers how to collect metrics, logs, and traces in Kubernetes, and how to monitor the cluster itself.
| Challenge | Description |
|---|---|
| Ephemeral pods | Pods are created and destroyed constantly — static monitoring does not work |
| Dynamic discovery | Services scale up and down — targets must be discovered automatically |
| Multi-layer | You need to monitor the application, the pod, the node, and the cluster |
| Distributed | Microservices on Kubernetes generate complex request flows |
| Volume | A large cluster generates enormous amounts of telemetry data |
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