REST API Caching Strategies Every Developer Must Know

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