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Redis For Better Performance

The modern web requires blazing fast performance for acquiring and retaining customers. The always on and agile architecture needs more than one tool to solve a problem. Most web applications use Postgres or MySQL databases and these may not be able to scale beyond a particular threshold. They are also not the best solution for caching or session management.

Why Redis?

Redis is an in-memory data structure store, used as a database, cache and message broker. It supports various data structures such as Strings, Hashes, Lists, Sets etc. When you need to serve your customers at scale then Redis can be used as a caching mechanism or it can handle sessions. Major Use cases for Redis:

  • Full Page Cache
  • Session Storage
  • Queues


Importance of Redis:

The prevalence of Redis comes from its speed, its rich semantics, and its steadiness. Since it stores data in memory which enables faster read-write speeds with persistency, Currently, it is being used by tech-giants like GitHub,Weibo, Pinterest, Snapchat, Craigslist, Digg, StackOverflow, Flickr. Most commonly used backend languages like JavaScript, Java, Go, C, C++, C#, Python, Objective-C, PHP and almost every famous language out there has support for Redis. The documentation is quite good and if you get stuck then you can head over to stack overflow in order to find a query similar to yours.