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.
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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
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#rest #api #redis