Prometheus Full Tutorial | FastAPI Monitoring with Docker

Learn Prometheus from scratch with a practical real-world project! 🚀 In this beginner-friendly tutorial, we build a complete Prometheus monitoring setup locally using Docker Desktop and use a FastAPI application as our real-world example. Instead of only learning theory, you'll see how an application exposes metrics, how Prometheus collects and stores those metrics. 🔥 What you'll learn in this tutorial What is Prometheus? Why do we need Prometheus and Grafana? How Prometheus collects metrics How the /metrics endpoint works Understanding http_requests_total Understanding rate() Understanding request duration metrics http_request_duration_seconds_count http_request_duration_seconds_sum What is PromQL? How to query metrics using PromQL How to run Prometheus using Docker How to monitor a FastAPI application How to visualize API requests and performance Practical Docker networking between FastAPI, Prometheus 🏗️ Project Architecture FastAPI ↓ /metrics ↓ Prometheus Everything in this tutorial runs locally on Windows using Docker Desktop — no AWS, Kubernetes, cloud account, or paid monitoring service is required. 🛠️ Technologies Used Python FastAPI Prometheus Docker Docker Compose PromQL 🎯 Who is this tutorial for? This tutorial is useful for: Python developers Backend developers FastAPI developers AI/ML engineers DevOps beginners Cloud engineers Software developers learning monitoring Anyone starting with Prometheus and Grafana By the end of the tutorial, you'll have a working FastAPI monitoring dashboard with Prometheus and Grafana running on your own computer. 📬 CONNECT WITH ME: LinkedIn: www.linkedin.com/in/vivekpol Twitter: https://x.com/polvivek77 GitHub: https://github.com/polvivek77/Prometheus 🔔 Subscribe and hit the bell icon to get new project videos every week. 📧 Business Enquiries: polvivek77@gmail.com 📱 Call/WhatsApp: +91 9422121962 #Prometheus #Grafana #FastAPI #Docker #PromQL #Monitoring #DevOps