The art of caching, with Redis

Recently in our project, we encountered the problem of longer response time. This was due to a rapid increase in the data of our product which led to heavy database requests and huge costs. Until now, we were only using the database for storing data.

After doing some research, we came to know we can save the number of requests to the database and finally decided to do something known as Caching.

--

--

--

DLT Labs is a global leader in Distributed Ledger Technology and Enterprise Products. To know more, head over to: https://www.dltlabs.com/

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Crafting Quality Software, Chapter 1

Don’t Release Now!

My Google Code-In 2017 Experience

Crawl Product Details in Decathlon Pages Using Scrapy-Splash

Day 8: Creating an offset

Oracle APEX on Amazon RDS or on Oracle Autonomous Database

Build Your Own Remote Desktop Application using Javascript, Python & WebRTC

Building an effective and technical product team — Platform Engagement

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
DLT Labs

DLT Labs

DLT Labs is a global leader in Distributed Ledger Technology and Enterprise Products. To know more, head over to: https://www.dltlabs.com/

More from Medium

Microservices API Gateway vs. Traditional API Gateway

Taager’s Foray in Messaging Part 2; Installing the Pulsar Node.js client on macOS

How to delete records from MongoDB using Glue Job

How to delete records from MongoDB using Glue Job

Aws lambda and API gateway with Execution logs