Caching refers to the process of storing some data in a "Cache".
A Cache is a temporary storage area that stores data so that it can be accessed faster in future.
It takes a shorter period of time to access data stored in a cache than data stored in a database.
In caching, the data is stored in a fast access hardware like the RAM and it may be in correlation with a software component.
What is Redis?
Redis (REmote DIctionary Server) is an open source, fast, in-memory, key-value data store that is used as a database, cache, queue, and message broker.
Redis supports various data structures like Hashes, Strings, Sets, Lists, etc.
Due to this, Redis is referred to as a data structure server since its core data structures are similar to those provided by other programming languages.
It also comes with other features and data structures for stream processing, geolocation, and approximate counting.
Redis delivers sub-millisecond response times, supporting up to millions of requests per second for real-time applications in Financial Services, AdTech, IoT, Gaming, and Healthcare.
When an application is getting data from external sources, the throughput and latency of data sources can cause a performance bottleneck, especially when the application scales or traffic increases.
In such a case, one of the ways to improve performance is to store and modify the data in-memory, and that is exactly what Redis helps you achieve.
Redis stores all its data in-memory, providing the fastest possible speed when writing or reading data, and it has built-in replication capabilities that allow you to place data physically closer to the user.
Other features that characterize Redis are high availability, multiple levels of on-disk persistence, and support for Lua scripting.
Its popualr use cases include Gaming Leaderboards, Caching, Session Store, Rich Media Streaming, Geospatial, Machine Learning, Real-Time Analytics, Chat, Messaging, and Queues.
The following are some of the most popular features offered by Redis:
The Redis Sentinel is a stand-alone distributed system that developers use to calibrate their instances and increase their availability to clients.
It uses a series of monitoring processes, automatic failovers, and notifications to tell its users in case of faulty master and slave instances.
It also reconfigures new connections automatically for applications whenever it's necessary.
Redis Cluster <a name="cluster>
This is a distributed form of Redis that automatically divides datasets among various nodes.
It facilitates higher scalability and performance of database deployments, and ensures continuous operations even when node subsets cannot communicate with the other part of the cluster.
Since you can use publish and subscribe (Pub/Sub) commands in Redis, you can create high-performance messaging services for your services and applications.
You can also use the list data structures to execute atomic operations.
Redis relies on a persistent disk storage to avoid network bottlenecks and survive process outages.
Redis takes screenshots of data regularly and appends them with changes as they become available.
You can then configure it to generate database backups at automatic intervals or on demand to ensure database integrity and durability.
To run Redis commands on your computer, you should first install it.
You can get the installation instructions for Redis on its official website by opening the following URL on your web browser: