Jan 16
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In this video, learn how to integrate Prometheus metrics into your Python FastAPI application for powerful monitoring and observability. You’ll discover how to expose application metrics, collect data efficiently, and visualize performance using Prometheus and Grafana. Whether you're developing microservices, APIs, or data pipelines, this setup helps you track performance, latency, and request statistics in real time — a must-have for production-ready FastAPI projects. 🔗 Official Resources: 🐍 Python Official Website: https://www.python.org ⚡ FastAPI Official Docs: https://fastapi.tiangolo.com 📊 Prometheus Official Website: https://prometheus.io 📈 Grafana Official Website: https://grafana.com 🧰 Prometheus Python Client Library: https://github.com/prometheus/client_python 📌 Edited and curated for educational purposes. #FastAPI #Prometheus #PythonMonitoring 🎬 Source & Credit: This video uses Creative Commons (CC BY) content from YouTube. Edits include cuts, captions, and enhancements. If you are the original creator and want credit or removal, contact me and I will respond immediately.