Redis Cache Stores Data In RAM To Avoid Accessing The Database

[!INFO]-
topic: 🖥️ Tech
links: Scaling a database
source: Introduction to Redis | Redis
tags: #permanent-note #published

Last Modified: =dateformat(this.file.mtime, "MMM. dd, yyyy - HH:mm")

Redis cache is a system that stores frequently accessed data in memory to improve application performance.

Redis cache, also known as Redis in-memory data structure store, is an open-source system designed to supercharge application performance by caching frequently accessed data. It acts as a cache or a database, storing information in memory to enable quick retrieval and reduce reliance on slower storage systems like disk-based databases.

By keeping data in RAM, it swiftly retrieves and serves cached information without the need for time-consuming disk I/O operations, making it lightning-fast.

Redis cache brings several benefits to the table:

1. Improved Performance: Storing frequently accessed data in memory cuts down on disk I/O operations, leading to faster response times for your applications.

2. Scalability: With support for clustering and replication, Redis cache can handle vast amounts of data and handle high request rates across multiple nodes.

3. Persistence: Redis goes beyond being an in-memory cache; it can persist data to disk for durability. This ensures your cached data remains intact even during system restarts or failures.

4. Pub/Sub Messaging: Redis enables components of an application to communicate asynchronously through its publish/subscribe messaging mechanism.

5. Support for Advanced Data Structures: Redis cache supports complex data structures like geospatial indexing and bitmap operations, opening up possibilities for real-time analytics and location-based services.