Скачать или смотреть Build an AI-Powered Incident Analyzer | FastAPI + GenAI + AWS | Real-World Project

In this video, we build a real-world AI-powered Incident Root Cause Analyzer using FastAPI, Generative AI, and AWS.

In modern production systems, engineers receive massive and unstructured log files during outages.
Manually analyzing these logs is slow, error-prone, and heavily dependent on experience.

To solve this, we design an AI-based system that:
Automatically analyzes production incident logs
Identifies root cause and severity
Suggests immediate fixes and long-term prevention
Uses multiple GenAI models with clear responsibilities
Runs as a production-ready FastAPI service
Is containerized using Docker and deployed on AWS

🧠 Tech Stack Used:
FastAPI
Uvicorn
LangChain & LangServe
Google Gemini API
Groq (LLaMA)
Docker
AWS EC2

This project demonstrates how AI can be used in DevOps and SRE workflows (AIOps) to reduce downtime and improve incident response time.

If you are a GenAI Engineer, DevOps Engineer, SRE, or Backend Developer, this project is perfect for your portfolio and interviews.

📌 Topics Covered:
Real-world problem statement
AI system architecture
FastAPI backend design
Multi-model GenAI orchestration
Dockerization
AWS deployment
Production-ready best practices

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#GenAI #FastAPI #DevOps #AIOps #AWS #Docker #BackendEngineering