Kubernetes Observability: Prometheus, Grafana, Loki, and OpenTelemetry

Managing containerized applications at scale requires deep visibility into your system's health, performance, and behavior. This comprehensive text-based course guides you through the essential tools and practices of modern cloud-native observability, ensuring you can diagnose and resolve issues before they impact your users. You will progress from foundational monitoring concepts to deploying production-ready observability stacks directly inside Kubernetes. By completing this course, you will transform from a Kubernetes beginner into a confident administrator capable of configuring metrics, logs, and traces for complex containerized environments. What you'll learn: - Understand the core pillars of observability: metrics, logs, and distributed tracing - Configure Prometheus to collect, store, and query cluster metrics using PromQL - Design intuitive Grafana dashboards to visualize real-time system health and set up alerts - Implement Loki to aggregate and query container logs efficiently across your cluster - Integrate OpenTelemetry to collect distributed traces and instrument modern microservices - Practice troubleshooting common cluster issues using unified observability workflows This course begins with essential terminology and foundational architecture concepts before moving into step-by-step configuration guides and deployment scenarios. You will read clear explanations, analyze real-world configuration files, and work through practical scenarios that mirror production environments. This course is designed for software engineers, system administrators, DevOps beginners, and anyone looking to gain practical observability skills in Kubernetes. No advanced container experience is required. Start reading today to build a highly observable and resilient Kubernetes infrastructure.