Kubernetes Observability Tools

Kubernetes environments are dynamic and complex. Pods come and go, services scale, and nodes can fail. Traditional monitoring struggles with this constant change.

• Observability in K8s means understanding the health and performance of your entire cluster, from nodes to individual application containers.
• We need specialized tools to collect logs, metrics, and traces from these ever-changing components effectively.

To keep your K8s cluster healthy and your applications running smoothly, you need to monitor several key areas:

• Resource Utilization: CPU, memory, disk, and network usage across nodes and pods.
• Application Health: Readiness and liveness probes, error rates, latency of your deployed apps.
• Cluster Components: Health of the control plane (API server, scheduler, etcd) and worker nodes.
• Network Traffic: Ingress/egress, DNS resolution, and service-to-service communication.