Collecting metrics with built-in Kubernetes monitoring tools

The text provides a comprehensive guide on monitoring Kubernetes clusters using open-source tools, focusing on collecting and visualizing resource metrics, cluster status information, and pod logs. It emphasizes the deployment and utility of Metrics Server to access CPU and memory usage data, the use of commands like `kubectl top` and `kubectl describe` for real-time metrics and resource allocation details, and the installation of Kubernetes Dashboard for a graphical interface. Additionally, it discusses the role of kube-state-metrics in providing cluster state metrics beyond those offered by Metrics Server, and highlights the importance of logs for troubleshooting via `kubectl logs`. The text also introduces Datadog as a full-stack monitoring solution for Kubernetes environments, offering integrations, autodiscovery, and advanced analytics to provide comprehensive visibility into both infrastructure and applications.

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