Shulou(Shulou.com)06/01 Report--

What is Redis? Simply put, Redis is an open source in-memory database that supports multiple data structures such as Key-Value and can be used for caching, event publishing or subscription, caching queues, and other scenarios. Redis is written in ANSIC language, supports network, provides direct access to strings, hashes, lists, queues, and collection structures, is memory-based, and can be persisted.

In game applications, some non-character data, such as leaderboards, can be stored in Redis to improve user access speed. However, in the cloud computing environment, the increasing amount of data and user requests bring new challenges to caching services. For example, after a new game is launched, business often explodes in the early hours of the morning. Operation and maintenance personnel must keep an eye on the screen to monitor the game running data, otherwise the high redis resource utilization rate will cause business abnormalities at any time, seriously affecting the user experience.

If you're still building your own Redis cache, you're out! In order to solve the limitations of open source Redis in terms of performance and resource utilization, Huawei Cloud Cache Service Redis came into being. Cloud Cache Redis is a distributed cache provided on Huawei Cloud. It provides ready-to-use, secure, reliable, and flexible online distributed cache capabilities. It provides a variety of instance types such as stand-alone, active, and cluster to meet users 'business demands for high concurrency and fast data access.

Having said that, where is the distributed cache Redis? As a cloud service, cloud cache Redis has the advantages of easy use, low cost, high reliability and easy maintenance. Specifically:

ready to use

Users can apply for Redis service directly by operating the Web console or calling the interface, and deploy quickly without worrying about hardware and software. However, self-built Redis needs to purchase server resources and deploy them by itself, which is time-consuming and labor-consuming.

stable and reliable

Compared with self-built Redis, distributed cache Redis data is highly reliable, supports active/standby and cluster modes, and supports data persistence. High availability of services, support for automatic failover.

easy maintenance

Cloud Cache Redis management operation process is simple, you can apply for, start and stop cache instances with one click. There are rich service monitoring metrics (such as storage key values, number of client connections, historical command data, etc.), as well as system monitoring metrics (such as memory usage, CPU consumption, bandwidth usage). Self-built Redis needs to integrate third-party tools for monitoring and display, as well as full-time DBA duty, disk cleaning, instance management, etc.

Don't build your own Redis cache anymore, use distributed cache services, and take a step faster on the cloud.

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