Monitoring Kubernetes with Prometheus and Grafana: Complete Setup Guide
Kubernetes is dynamic by design. Pods appear and disappear, workloads scale horizontally, nodes become unavailable, and deployments continuously modify the state of the cluster.
That dynamism makes observability essential.
Without reliable monitoring, engineers often discover problems only after users experience them. CPU saturation, memory pressure, failed deployments, container restarts, and application latency can all develop quietly until they become production incidents.
Prometheus and Grafana form one of the most widely adopted open-source combinations for addressing this challenge. Prometheus collects and stores time-series metrics, while Grafana turns those metrics into interactive dashboards and visualizations.
Together, they provide a practical foundation for understanding Kubernetes health and application performance.
Why Prometheus and Grafana?
Prometheus is a metrics and monitoring system designed around time-series data. It periodically collects metrics from configured targets and stores them with labels that make multidimensional querying possible.
Grafana sits on top of that data.
Instead of examining raw metric...
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