Monitoring Go Applications with Prometheus and Grafana

Understanding how your applications behave in production is critical for maintaining reliability and performance. This text-based guide shows you how to instrument your Go applications to expose vital metrics and visualize them in real time. By reading through clear explanations and practicing with step-by-step configuration examples, you will learn how to set up a functional monitoring pipeline. You will transition from having zero visibility into your application's health to confidently tracking custom metrics on interactive dashboards. What you'll learn: 1. Understand foundational observability concepts, including metrics, logs, and traces. 2. Configure Prometheus to scrape metrics from a containerized environment using Docker. 3. Instrument Go applications using the official Prometheus client library to expose custom metrics. 4. Design clean Grafana dashboards to visualize system health, request latency, and error rates. 5. Apply modern monitoring methodologies like the RED and USE methods to your dashboards. 6. Practice troubleshooting performance bottlenecks through written step-by-step exercises. The course begins with essential monitoring definitions and architectural basics before guiding you through hands-on configuration. You will walk through setting up Docker containers, writing instrumentation code in Go, and building your first visualization panel in Grafana. This course is designed for backend developers, system administrators, and aspiring DevOps engineers who are new to observability. No prior experience with Prometheus or Grafana is required, though a basic familiarity with Go and Docker is helpful. Start reading today to bring deep visibility and reliable monitoring to your Go applications.