Build a High-Performance Weather API with Go, Chi, and Redis

In this video, we walk through building a robust Weather API using Go, the chi router for efficient HTTP routing, and Redis for high-speed data caching. This project is designed for developers looking to build scalable, real-time APIs with a focus on performance and reliability. 🔑 Key Features: ✅ Real-Time Weather Data – Fetch live weather information for any specified city using a third-party weather API. ✅ Optimized Caching with Redis – Reduce API latency and minimize third-party API costs by caching weather data with configurable expiration times. ✅ RESTful API Design – Includes well-structured endpoints for: /health – Health check for API status. /v1/weather – Weather data retrieval for a specified city. ✅ City Name Normalization – Consistently handles variations in city names (e.g., "New-York" vs. "New York") for accurate results. ✅ Structured Logging with Zap – Track API calls, cache hits/misses, and errors for comprehensive monitoring and debugging. ✅ Scalable and Configurable – Easily adjust API keys, Redis settings, and server parameters via environment variables. 🎯 What You'll Learn: Building efficient, RESTful APIs with Go and chi Implementing high-speed caching with Redis Best practices for error handling and logging Scalable API architecture for production-ready systems 📂 Source Code: Find the complete project on GitHub: https://github.com/AyesoroFemi/weather-api Whether you're building a personal project or preparing for a production deployment, this guide will help you design a high-performance API that’s both scalable and reliable. #GoLang #APIDevelopment #Redis #ChiRouter #BackendDevelopment #RESTfulAPI #Caching #GoBackend #WebDevelopment #Programming #SoftwareEngineering #APIPerformance #OpenSource #WebAPI #GoProgramming #CloudDevelopment #TechTutorial