Learn how to significantly improve your Node.js application's performance by implementing RESTful request caching with Redis.
Most software developers encounter three main problems: naming things, caching, and off-by-one errors. 🤦🏻♂️ In this tutorial, we’ll deal with caching. We’ll walk through how to implement RESTful request caching with Redis. We’ll also set up and deploy this system easily with Heroku. For this demo, we’ll build a Node.js application with the Fastify framework, and we’ll integrate caching with Redis to reduce certain types of latency. Ready to dive in? Let’s go! Node.
000000s time_pretransfer: 0.000772s time_redirect: 0.000000s time_starttransfer: 5.055683s ---------- time_total: 5.058479s Well, that’s not good. Over five seconds is way too long for a transfer time . Imagine if this endpoint was being hit hundreds or thousands of times per second! Your users would be frustrated, and your server may crash under the weight of continually re-doing this work. Redis to the rescue! Caching your responses is the first line of defense to reduce your transfer time .
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