Running applications is only part of the job; understanding what’s happening inside your cluster is what keeps systems reliable.

In this session, we’ll cover:

• What observability means in a Kubernetes context

• The difference between metrics, logs, and alerts

• Why observability is essential in production environments

• How teams monitor and troubleshoot Kubernetes workloads

This session focuses on concepts and mental models, not tool overload.