Building Reliable Full-Stack Systems: Python, FastAPI, and React

Are you building applications that constantly break under load? Modern software requires more than just functional code; it demands resilience and careful monitoring. This course provides a foundational understanding of reliability engineering, teaching you how to architect fault-tolerant systems from the database to the frontend. You will move beyond simple prototypes to build production-ready applications designed for scale and stability. What you'll learn: * Understand core reliability patterns like Circuit Breakers and retries to manage service failures gracefully. * Configure a modern observability stack using Prometheus and Grafana for monitoring system health and performance. * Master efficient error handling in Python (including type hints for robustness) and optimize SQL queries for speed and stability. * Apply containerization fundamentals and CI/CD principles to automate the deployment of your full-stack application. * Design resilient APIs using FastAPI and reliable state management in React, ensuring seamless frontend-backend communication. * Practice structured logging and failure injection testing to proactively identify and fix weaknesses in your architecture. The course begins with foundational concepts in system reliability and error handling, progressing through backend development with Python and database optimization, integrating frontend development using React, and concluding with monitoring, testing, and automated deployment practices. This course is designed for absolute beginners in reliability engineering and developers familiar with basic Python or JavaScript who want to build their first production-grade, highly reliable application. No prior knowledge of FastAPI, Prometheus, or advanced architecture is required. Start building systems that users can truly depend on.