7/11/2023 0 Comments Lazy nezumi free update expired![]() ![]() This is where application is responsible for reading and writing from the database and the cache doesn't interact with the database at all. There are two main ways people use a distributed cache: this reduces pressure on data storage so that it is no longer a scalability bottleneck. it spans multiple servers (called a cluster) to pool their memory together and keep all cache synchronized across servers, and it can keep growing this cache cluster endlessly, just like the application servers. In these situations, in-memory distributed cache offers an excellent solution to data storage bottlenecks. the reason is data storage cannot keep adding more servers to scale out, unlike application architectures that are extremely scalable. With the explosion of extremely high transaction web apps, soa, grid computing, and other server applications, data storage is unable to keep up.
0 Comments
Leave a Reply. |