Scaling WordPress for High Traffic

Roshan Bhattarai

• Father

• Author - (Co-author : PHP Ajax Cookbook )

• Software Developer

• And so called CTO @ proshore

Optimization Tips for Shared hosting

• Use W3 Total Cache plugin for caching page and datas .

• Serve all the static contents(JavaScript , CSS files and Images ) from Content Delivery Network.

• Use jQuery lazy load plugin to server images if there are many.

• Minify and Gzip the CSS and and JavaScript files. • For big number of posts and comment table use

MySQL’s logical partition. http://pento.net/2011/04/28/partitioning-the-wordpress-comments-table/

W3 Total Cache

Main Features :

• Page Caching

• Minify

• Database Caching

• Headers: W3TC manages the HTTP headers (cache-control, expires)

• Content Delivery Network (CDN )

Content Delivery Network

• Serving static content directly from own server

• Uploading static files to server and serving from there

Still problem ………………..

Time to move to VPS or Dedicated Server

Recommended Server Configuration

• Use Nginx Web Server than Apache• Use Varnish or Squid (Reverse Proxy Servers )for

serving static content over Nginx server• Use PHP-FMP (FastCGI Process Manager) • Implement Sphinx search engine or Lucene

Search Engine for full text search on database. • As always use CDN • Use Opcode Cache Engine for W3 Total Cache (

APC recommended)

That should be able to cope around 10 million hits a day on normal

Wordpress website.

http://www.ewanleith.com/blog/900/10-million-hits-a-day-with-wordpress-

using-a-15-server

Still high CPU and memory ususage on server

Time to use multiple HTTP servers and multiple database servers.

Using Load balancer

Load Balancing Technique

• Round Robin DNS

• Software Load balancer ( recommended HaProxy)

• Hardware load Balancing ( Cisco , Citrix etc )

Note : Use NFS to store static files and data on database.

Database Replication

Database Sharding

Software used for sharding MySQL : HiveDB

For WordPress use HyperDB

• Ability to use multiple databases.

• Supports partition of data.

• Supports replication.

• Supports failover.

Thank you for listening

Any questions?