if you've setup a clustered drupal deployment (see scaling drupal step three - using heartbeat to implement a redundant load balancer), a good next-step, is to scale your database tier.
in this article i discuss scaling the database tier up and out. i compare database optimization and different database clustering techniques. i go on to explore the idea of database segmentation as a possibility for moderate drupal scaling. as usual, my examples are for apache2, mysql5 and drupal5 on debian etch. see the scalability overview for related articles.
when the times comes for scalability. moving of of the garageif you are lucky, eventually the time comes when you need to service more users than your system can handle. your initial steps should clearly focus on getting the most out of the built-in drupal optimization functionality, considering drupal performance modules, optimizing your php (including considering op-code caching) and working on database performance. John VanDyk and Matt Westgate have an excellent chapter on this subject in their new book, "pro drupal development"
once these steps are exhausted, inevitability you'll start looking at your hardware and network deployment.
if you've setup a clustered drupal deployment (see scaling drupal step two - sticky load balancing with apache mod_proxy), a good next-step, is to cluster your load balancer.
one way to do this is to use heartbeat to provide instant failover to a redundant load balancer should your primary fail. while the method suggested below doesn't increase the loadbalancer scalability, which shouldn't be an issue for a reasonably sized deployment, it does increase your the redundancy. as usual, my examples are for apache2, mysql5 and drupal5 on debian etch. see the scalability overview for related articles.
if you've setup your drupal deployment with a separate database and web (drupal) server (see scaling drupal step one - a dedicated data server), a good next step, is to cluster your web servers. drupal generates a considerable load on the web server and can quickly become resource constrained there. having multiple web servers also increases the the redundancy of your deployment. as usual, my examples are for apache2, mysql5 and drupal5 on debian etch. see the scalability overview for related articles.