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Caching is a powerful optimization technique that plays a crucial role in improving the efficiency, scalability, and performance of REST APIs. It helps reduce the load on databases, minimizes redundant computations, and speeds up response times by storing frequently requested data closer to the client or server. In this video, we explore various caching strategies that can supercharge your API performance, ensuring that your system remains fast, scalable, and efficient. Whether you're handling millions of requests per second or just optimizing a small service, caching can significantly enhance your API’s responsiveness.   / bytemonk   Timestamps 00:00 Introduction – Why Caching is Essential for REST APIs 00:29 Application Layer Caching – Using Redis for Fast Data Retrieval 02:26 Request-Level Caching – Storing Full API Responses 04:51 Conditional Caching – ETag & Last-Modified for Efficient API Calls 06:47 Cache Invalidation – Write-Through, Write-Behind & TTL-Based Eviction 09:55 Layered Caching – Browser, CDN & Server-Side Optimization 11:36 Bringing It All Together – Best Practices for Scalable APIs    • System Design Interview Basics      • System Design Questions      • LLM      • Machine Learning Basics      • Microservices      • Emerging Tech   AWS Certification: AWS Certified Cloud Practioner:    • How to Pass AWS Certified Cloud Practition...   AWS Certified Solution Architect Associate:    • How to Pass AWS Certified Solution Archite...   AWS Certified Solution Architect Professional:    • How to Pass AWS Certified Solution Archite...   #rest #api #redis