Deep Dive into Azure Cache for Redis: Developer Guide

With the advantages of a fully managed service, handle thousands of concurrent users with near-instantaneous performance by adding a fast cache layer to the application design

At a reasonable cost, adding Azure Cache for Redis may boost latency performance by over 1,000 percent and enhance data throughput by over 800 percent

Enhance your application’s responsiveness and capacity to manage growing loads with less web-computing resources to improve performance

To satisfy the demands of even the biggest companies, use clustering to scale up to terabyte sizes and synchronize session data worldwide with active geo-distribution

To develop queue or publish/subscribe structures, use Azure Cache for Redis. Send messages in real time and expand online communication frameworks like SignalR

With Azure Cache for Redis’s Enterprise and Enterprise Flash tiers, which were created in collaboration with Redis Inc., you can get revolutionary support for well-liked Redis Enterprise capabilities

Utilize the RediSearch, RedisBloom, and RedisTimeSeries modules that come with the package to add new data structures that improve analytics and machine learning

Use an Azure fully managed service to expedite deployment. Redis data structures, such as hashes, lists, and sorted sets, are natively supported by Azure Cache for Redis, which is powered by the open-source Redis softwar