A lot of what's written about performance tuning for Drupal is focused on large sites, and benchmarking is often done by requesting the same page over and over in an attempt to maximize the number of requests per second (à la ab). Unfortunately, this differs from the real world in two key ways:
- Most of our projects aren't regularly driving traffic at millions of hits per day.
- Our users request a lot of different pages.
In this post I'll model a site with 500 nodes, and 1200 hits per day. That's fewer than 1 request per minute, yet for many small businesses this would be a fairly healthy traffic flow. In this case, it might at first seem that high performance doesn't matter. A clever hacker could probably manage to install Linux on the office coffee maker and get acceptable HTTP throughput. However, latency still matters a great deal, even for small sites:
User impatience is measured in units of 1 tenth of a second starting at 200 milliseconds or so.
Drupal's page cache is capable of delivering blazing fast response times, but only when the cache is warm. And the reality for most small to mid-sized sites is the page cache is being cleared out far quicker than it's regenerated.

