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This article will explain in detail how Redis makes up for the shortcomings of the traditional MySQL architecture. The editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

Modern application requirements that are difficult to meet with traditional MySQL architectures include:

The read / write speed of traditional databases is not friendly to use cases such as session storage; introducing new tables or modifying existing schemas is very complex, which makes it difficult to add new features and applications

Traditional databases are limited by the number of operations per second and concurrent connections, so infrastructure and maintenance costs increase as database instances increase.

What chemical reactions will occur when Redis is combined with a traditional database? First, if the application's data is stored in MySQL or other relational databases, then Redis can be used as a front-end database between the application and MySQL; second, Redis can also be used to design bypass read-out and write-through caching solutions, session storage, and rate limiters, which can improve performance, accelerate innovation, and achieve the best user experience with fewer resource extensions.

Redis as a "participatory system"

Redis in-memory key data storage provides users with low latency response, and its built-in data structures, such as Lists, Hashes, Sets, Sorted Sets, Bitmaps, Hyperloglog, and Geospatial Indices, can perform some data operations more efficiently than relational databases.

Therefore, we recommend using Redis as a "participating system" to store hot data after the data access layer, while specifying MySQL as the "recording system".

In addition, Redis can avoid many bottlenecks that may occur in the original application, database, or network layer if applied to the following use cases:

Caching: provides a hierarchical model for memory access, and Redis stores data commonly used in applications that are read repeatedly. Caching can also help applications retrieve data quickly and limit the load on the database server.

Session storage: in all interactive applications, the server maintains a unique session for each active user. Instead of relying on relational databases such as MySQL to persist session data, Redis can manage thousands of sessions on a server with sufficient RAM size.

Real-time analysis: games or operations through rankings, dashboards, opinion polls, messages, counters, and other real-time aggregators require continuous interaction and communication with end users. Redis's powerful and efficient data structure can collect and process millions of simultaneous activities or objects and send them to active users.

Metrics: Redis can help developers manage the load on traditional servers efficiently during peak usage times by limiting the number of calls made by the application over a certain period of time.

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Of course, in addition to the above use cases, Redis also stands out in use cases such as message brokering, data structure storage, and temporary data storage. To sum up, Redis can collect and retrieve data more quickly and feed it back to the end user. Further, Redis Enterprise provides high availability, memory replication, automatic scaling and resharding, as well as cutting-edge CRDT-based distributed databases and built-in Redis modules such as RediSearch, ReJSON, Rebloom, and Redis Graph.

With the help of Redis, we can also enjoy "instant experience" in traditional solutions, and its advantages in performance, flexibility and scalability are worth trying!

This is the end of this article on "how Redis makes up for the shortcomings of traditional MySQL architecture". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, please share it for more people to see.

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