Kubernetes Monitoring and Logging with Loki, Grafana, and Prometheus

As Kubernetes deployments scale, understanding what happens inside your cluster becomes critical to maintaining uptime and troubleshooting errors. This course provides a clear, step-by-step written guide to setting up a comprehensive monitoring and logging pipeline from scratch. You will transition from having zero visibility into your cluster to confidently deploying, configuring, and querying Loki, Grafana, and Prometheus. Through structured explanations and practical text-based exercises, you will learn how to gather metrics and aggregate logs to troubleshoot applications efficiently. What you'll learn: - Understand core observability concepts, including the differences between metrics, logs, and traces. - Deploy Prometheus and Loki inside a Kubernetes cluster using Helm charts. - Configure Grafana data sources to visualize metrics and query system logs in a unified dashboard. - Analyze cluster performance and application health using PromQL and LogQL queries. - Implement structured logging practices to make troubleshooting faster and more reliable. - Practice deploying a demo application to verify your end-to-end monitoring setup. You will start with foundational definitions of cloud-native monitoring before walking through the step-by-step installation of each component. The course guides you through connecting your data sources, writing your first queries, and visualizing real-time cluster data in written examples. This course is designed for beginners, system administrators, and developers looking to learn container observability. No prior experience with Prometheus or Grafana is required, though a basic understanding of Kubernetes concepts is helpful. Start reading today to build a robust monitoring foundation for your containerized applications.