High-concurrency website system construction: stand-alone to distributed cluster

# As the scale of access increases, the website system gradually grows from a single server to a "behemoth" large cluster. The process of the system becoming larger is actually the process of solving problems. At different stages, different problems are solved, and new problems are born on top of old solutions.

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The optimization of the system is There is no limit. Software and system architecture have been developing rapidly. New solutions solve old problems and also bring new challenges.

This article will explain to you web load balancing, cache optimization and other related knowledge.

1. Website load balancing solution

Web load balancing (Load Balancing), simply put, is to assign "work tasks" to our server cluster, and use Proper allocation method is very important for protecting the back-end web server...

For details, click: "Website Load Balancing Solution"

2. Use memcache to synchronize sessions and coordinate caching

memcache is a distributed cache system developed by Brad Fitzpatrick of LiveJournal, but is currently used by many websites to improve website access speed. Especially for some large websites that require frequent access to the database, the access speed improvement effect is very significant...

For details, click: "Use memcache to synchronize the session and coordinate the cache"

3. Establishment and optimization of the caching mechanism of the website system

After talking about the external network environment of the Web system, now we start to pay attention to the performance issues of our Web system itself.

As the number of visits to our website increases, we will encounter many challenges. Solving these problems is not just as simple as expanding the machine, but establishing and using an appropriate caching mechanism is fundamental...

Click for details: "Establishment and Optimization of the Caching Mechanism of the Website System"

4. Summary

The website system will follow the visit The growth in scale has gradually grown from a single server to a "behemoth" large cluster. The process of the system becoming larger is actually the process of solving problems. At different stages, different problems are solved, and new problems are born on top of old solutions.

There is no limit to system optimization. Software and system architecture have been developing rapidly. New solutions solve old problems and also bring new challenges.

The basis of the above deployment is the efficiency of the code layer. As a qualified programmer, we must always keep in mind the importance of efficiency! !

Finally, I wish everyone a happy study!