Common Scenarios

1) Internet Applications: Single node instances are suitable for websites that deal with heavy reads and writes but require cost-effectiveness. Single node instances are intended for caching services. They provide high QPS performance and use RDS to persist data.

2) Game Applications: Game companies release new games to attract more players and increase market share. Redis can reduce the complexity of application development and dynamically scale out to withstand heavy loads.

3) Livestreaming Applications: Traffic spikes occur in live streaming scenarios. Cluster instances can overcome the single-threading bottleneck of Redis, handle millions of QPS, and meet the requirements of low response latency and high concurrency.

4) Seamlessly Integrated With Big Data Computing: In the e-commerce industry, large-scale promotion systems that run for a limited time and inventory systems with a counting feature are exposed to a huge amount of user traffic. Redis can withstand heavy reads and provide data persistence.