Using Redis Caching and the Redis CLI to Improve API Performance

• redis

  1 16,718 9.6 Go

  Discontinued Type-safe Redis client for Golang [Moved to: https://github.com/redis/go-redis] (by go-redis)

  

There are multiple clients available in Go for implementing Redis. However, in this article, we will be using go-redis. Let’s look into how this works with Redis caching.

• mux

  86 17,948 2.6 Go

  Discontinued A powerful HTTP router and URL matcher for building Go web servers with 🦍

  

We will be using Gorilla Mux to create the APIs locally. Gorilla Mux implements a request router and dispatcher to match the incoming requests.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Redis

  321 65,060 9.7 C

  Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

  

In this article, we used a postgres database to store users’ data. We created endpoints using Gorilla Mux, and on top of those endpoints, we integrated Redis caching into the API response from a React application. Remember that Redis is a powerful tool and what we covered is just the tip of the iceberg. For more information, consider reading the docs at redis.io. You can also follow along with this article by watching this YouTube tutorial.

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