Kube-state-metrics is a simple yet powerful service that acts as a bridge between the Kubernetes API server and monitoring systems like Prometheus. It listens to the Kubernetes API server, collects information about the state of various Kubernetes objects (pods, deployments, services, etc.), and exposes this information as metrics in a format that can be easily consumed by Prometheus or other compatible monitoring systems.

• **Metrics Generation:** Kube-state-metrics continuously collects and generates metrics about the state of Kubernetes objects, such as:

     * Resource availability and utilization (CPU, memory, storage)
     * Deployment and pod status (running, pending, failed, etc.)
     * Resource labels and annotations
     * Object creation and deletion timestamps

• **Prometheus Compatibility:** The metrics generated by Kube-state-metrics are exposed in a format that can be directly scraped by Prometheus, making it easy to integrate with your existing monitoring infrastructure.
• **Customizability:** Kube-state-metrics allows you to configure which resources and metrics to collect, enabling you to tailor its behavior to your specific monitoring needs.
• **High Availability:** It can be deployed in a highly available configuration to ensure uninterrupted metrics collection.

• **Enhanced Observability:** Kube-state-metrics provides valuable insights into the state and health of your Kubernetes cluster, enabling you to monitor critical metrics, identify potential issues, and troubleshoot problems effectively.
• **Alerting and Automation:** By integrating with Prometheus's alerting system, you can set up alerts based on Kube-state-metrics data to proactively detect and respond to anomalies or failures.
• **Custom Dashboards and Visualizations:** Kube-state-metrics' rich set of metrics can be used to create custom dashboards and visualizations in Grafana or other monitoring tools, providing a comprehensive overview of your cluster's health.
• **Simplified Monitoring:** Kube-state-metrics eliminates the need to write custom scripts or exporters to gather Kubernetes metrics, making it easier to set up and manage your monitoring infrastructure.

While Kube-state-metrics primarily operates as a service within your Kubernetes cluster, here's an illustrative example of a Prometheus query that leverages Kube-state-metrics data:

``` sum(kube_pod_status_phase{phase=“Running”}) by (namespace) ```

This query calculates the number of running pods in each namespace, providing a quick overview of your application deployments.

• **Kube-state-metrics GitHub Repository:** s://github.com/kubernetes/kube-state-metrics(https://github.com/kubernetes/kube-state-metrics)
• **Kube-state-metrics Documentation:** s://github.com/kubernetes/kube-state-metrics/tree/master/docs(https://github.com/kubernetes/kube-state-metrics/tree/master/docs)
• **Metrics for Kubernetes Object States:** s://kubernetes.io/docs/concepts/cluster-administration/kube-state-metrics/(https://kubernetes.io/docs/concepts/cluster-administration/kube-state-metrics/)