Custom Kubernetes Dashboards with Grafana and Prometheus

In modern containerized environments, visibility into your cluster health is essential for maintaining uptime and performance. This course guides you through establishing clear, actionable observability for Kubernetes using Prometheus and Grafana. You will transition from looking at raw cluster data to designing readable, custom dashboards that track system health, resource utilization, and application performance. What you will learn: Learn core observability concepts and how Prometheus scrapes Kubernetes metrics; Write custom PromQL queries to extract precise performance data; Design clear Grafana dashboards tailored for cluster administrators; Configure alert rules to catch system anomalies before they impact users; Apply modern dashboard design best practices for high readability; Explore custom metrics and exporter configurations for tailored application monitoring. Starting with fundamental monitoring terminology and architecture, you will progress through setting up data sources, writing queries, and structuring dashboards to visualize cluster health. This course is designed for software developers, system administrators, and DevOps beginners who want to master container monitoring with no prior observability experience required. Start reading today to gain deep visibility into your Kubernetes environments.