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What factors affect the performance of the storage method of the cache server
Time : 2023-10-19 14:36:21
Edit : Jtti

Cache server is a kind of intermediate layer server used to store and provide the requested data, the main purpose is to improve data access and performance, cache server storage is not the same, the following is about the cache server storage and performance factors to explore!

About cache server storage:

Memory cache

Memory caching is the storage of data in the server's memory, because the memory is very fast to read and write, which makes the data access speed very fast. Memory caches are often used to cache frequently accessed data, such as database query results or commonly used files.

Hard disk cache

Disk caching stores data on physical hard disks. Although slower than memory, hard disk caches can hold more data, and the data remains available after the server is restarted. It is often used to cache large files or data sets.

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Distributed cache

Distributed caching is the distributed storage of data on multiple servers to improve performance and scalability. Common distributed cache systems include Redis and Memcached.

Cache server performance impact:

Improve access speed

The most obvious effect is to significantly increase the speed of data access by storing it in a fast storage medium, such as memory. Users can get the information they need faster, which improves the user experience.

Lighten the load on the source server

The cache server can handle some of the requests, reducing the load on the source server, especially for frequent requests for the same data. This helps the source server handle complex requests more efficiently.

Reduces network bandwidth consumption

When the cache server is located at the edge of the network, it can reduce the transmission of data from the source server to the user, thus reducing network bandwidth consumption.

Improve system scalability

By distributing the load across multiple cache servers, the scalability of the system can be improved to meet the growing number of user requests.

Reduce database load

For applications with database queries, caching can reduce the load on the database server and reduce the number of requests to the database, thereby improving database performance.

Data protection

Caching can provide data backup and redundancy to ensure that data is not lost. This helps improve data availability and stability.

Reduce cost

By speeding up data access and reducing server load, caching servers can reduce infrastructure costs because you can use your existing server resources more efficiently.

To sum up, the use of cache server may face some problems, such as cache data outdated, data consistency problems, cache server itself errors. Therefore, data update policies and cache invalidation mechanisms need to be taken into account when deploying cache servers.

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