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Deploying Wordpress: Syncing Files in a Multi-Server Installation

Recently, some of my company's WordPress sites have become so popular that I chose to migrate them onto a multiple-webserver deployment system in order to keep up with the traffic. I encountered some interesting challenges while setting this up, so I figured I'd document them here.

Our Configuration

My goal was to move our large sites off of some budget shared servers and onto Amazon Web Services. After giving it a lot of thought, this was the server configuration I came up with:

My goal was to run the least amount of hardware to handle the load at all times in order to keep our hosting expenses as low as possible. Toward that end, the second webserver will power down automatically when it is not needed to handle the load.

The Problem

Despite the scalability and redundancy advantages this new configuration provides, it does introduce some challenges due to the increased complexity over a single-server WordPress installation.

WordPress can very easily be configured to use a dedicated database (that is distinct from the webserver) in wp-config.php, so that is not a challenge. It is more difficult, however, to run Wordpress across multiple webservers.

Principally, the chief problem with a multiple-webserver configuration is that Wordpress saves all uploaded files to whichever webserver happened to process a given file upload. This makes it inevitable (as users upload files) that the various webservers' file systems will fall out-of-sync.

The broader topic of creating a load-balanced web deployment system is beyond the scope of this post, but I'd like to address the problem of keeping these file structures in sync.

The Possible Solutions

I considered a few possible solutions for tackling this synchronization problem:

  1. A utility like rsync, possibly coupled with an every-minute cron
  2. NFS (or the like)
  3. Using S3 for file storage

I liked the simplicity of the rsync solution, but I wasn't crazy about the idea of running an every-minute cron. We're potentially syncing a lot of files here, and I was hesitant to burn up so much CPU constantly sifting through file structures. Plus, that seemed kludgy to me.

The NFS option was initially appealing, but the complexity of setting it up was intimidating. After some aggressive Googling, the "keep it simple" strategy seemed like the best one to me, and setting up NFS involved more moving parts than I wanted to deal with.

S3 seemed like a legitimate option too, and I had considered using one of the many existing libraries to mount an S3 storage block like a physical drive. Eventually, though, I became worried about the "eventual consistency" which S3 promised (ie, S3 takes time to become internally consistent across its own servers, much like the very problem we're trying to solve here), as well as some potential performance issues in some of the required libraries.

The Chosen Solution

Ultimately, I decided that I wanted to keep this system as simple as possible, so I settled in on some kind of rsync-based solution. The only issue then, of course, was how to avoid having to run frequent and wasteful cronjobs.

The perfect solution for my use case turned out to be a utility called lsyncd. lsyncd is based on rsync (ie, it only transmits file diffs between source and destination machines), but it is intelligently coupled with inotify. Thus, it can be used to sync servers, but only bothers to run a sync when it has detected that the local file system has actually changed.


Our deployed configuration ended up looking like this:

Thus, in no more than two hops (regardless of the number of webservers we may be running at any given moment), each file system will be "reflexively" updated via the master machine within moments after a change on any single server. I think this is a robust, efficient, and simple solution to this synchronization problem.


We haven't been running this system for very long, but at this point, it has functioned admirably. I'll update this post if I find that I need to make any tweaks to this system. For the time being, though, I'm optimistic.

If you have a question, feel free to ask me in the comments.

Update - 12 July 2012

I discuss the solution that I eventually implemented in this video post.