The most commonly used caching strategy architecture for e-commerce websites, e-commerce website architecture_PHP tutorial

A commonly used caching strategy architecture for e-commerce websites, e-commerce website architecture

Cache is an important component in a distributed system, mainly solving hot spots in high concurrency and big data scenarios Data access performance issues. Provide high-performance and fast access to data.

This time I mainly share an architectural solution for a cache strategy that I think is more common and easier to understand. Comments are welcome.

If you have more awesome ideas, please share them:

Cache is an important component in a distributed system. It mainly solves the performance problem of hot data access in high concurrency and big data scenarios. Provide high-performance and fast access to data.

The principle of caching

(1) Storage (device) that writes/reads data faster;

(2) Cache data to the location closest to the application;

(3) Cache data to the location closest to the user.

Caching categories

In distributed systems, caching is widely used. From a deployment perspective, there are the following caching applications.

(1) CDN cache;

(2) Reverse proxy cache;

(3) Distributed Cache;

(4) Local application cache;

Caching media

Commonly used middleware: Varnish, Ngnix, Squid, Memcache, Redis, Ehcache, etc.;

Cached content: files, data, objects;

Caching media: CPU, memory (local, distributed), disk (local, distributed)

Caching design

Cache design needs to solve the following problems:

(1) What to cache?

Which data needs to be cached: 1. Hot data; 2. Static resources;

(2) Where is the cache?

CDN, reverse proxy, distributed cache server, local machine (memory, hard disk)

(3) How to cache?

• Expiration Policy

1. Fixed time: For example, the specified cache time is 30 minutes;

2. Relative time: For example, data that has not been accessed in the last 10 minutes;

• Synchronization mechanism

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