InfluxDB + Telegraf + Grafana Full Course – Zero to Production 2026

Description

🚨 Is your AI model drifting silently in production? In this tutorial, I'll show you how to build a complete real-time monitoring stack using InfluxDB, Telegraf, and Grafana — from zero to live dashboards in under 30 minutes. What you'll learn: ✓ Set up InfluxDB 2.x for time-series AI metrics ✓ Create a Docker network so containers communicate ✓ Configure & run Telegraf as your collection agent ✓ Wrap your Python AI model to emit real-time metrics ✓ Build stunning Grafana dashboards in minutes ✓ Set up automated alerts for model accuracy drops ✓ Production-ready MLOps monitoring stack ⏱ Chapters: 00:00 — Intro & Demo 01:24 — Why AI Model Monitoring Matters 04:38 — Architecture Overview (TIG Stack) 06:20 — Pre-requisites 08:09 — Install & Configure InfluxDB 13:05 — Docker Network & Telegraf Setup 14:54 — Configure & Run Telegraf Container 17:11 — Instrument Your AI Model (Python) 19:57 — Install & Connect Grafana 21:35 — Connect Grafana to InfluxDB 23:30 — Build the Dashboard & View Metrics 27:06 — Configure Alerts 28:20 — Final Demo & Recap 📜 Resources: 🔗 GitHub Repo: https://github.com/shazforiot/ai-monitoring-with-TIG-stack 📌 Related Videos: 📺 Docker for Beginners If this helped you, please LIKE and SUBSCRIBE 👍 — it really helps the channel grow. Drop a comment below: What metrics are YOU monitoring in your AI models? #AIMonitoring #MLOps #InfluxDB #Telegraf #Grafana #MachineLearning #AIOps #LLMOps #AIObservability #DevOps #DataEngineering #TIGStack #Python #ProductionAI #RealtimeMonitoring #TimeSeries #Kubernetes #CloudAI