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The Art of Capacity Planning

John Allspaw
Published by O'Reilly Media, Inc.
ISBN: 978-0-596-51857-8
152 pages
£ 27.99
Published: 15th September 2008
reviewed by Raza Rizvi
   in the December 2008 issue (pdf), (html)
bookcover  

I had some qualms about reviewing (at short notice) a book on capacity planning. They have always tended to be full of queueing theory and complicated graphs, hardly the stuff for quick absorption.

But this book really does break that mould and provide practical, proven information for administrators of LAMP (LINUX, Apache, MySQL, PHP|PERL) deployments. Yes there are a lot of graphs but they all appear as actual examples from the working systems the author has been and is currently responsible for, rather than being simulations or predictions based on theoretical data. The book is exceptionally well illustrated which further adds to the lifting of the topic and greatly improves the readability of the subject matter.

After setting out why one needs to measure the current capacity of systems and then the high-level of how one might go about measuring the metrics (including a very apt example showing the impact of rationalising a server farm when upgrading the hardware) the author spends a 40 page chapter on the actual topics that need consideration, taking in turn traffic, logs, databases, I/O, storage, and traffic. These are all described in the context of the author's day job (running services for Flickr, the photo storage web site). Somewhat surprisingly there isn't a specific section on CPU issues though it is touched on in each of the sub-sections. The author sensibly includes material on front-end cache deployment but it was also very interesting to read briefly on the specific issues caused by deployment of an API – something any respecting Web 2.0 site needs to build a partner community.

At this point we know what we must measure and why, and have some idea of how to do the mechanics of it, but how do we actually use all this information? Chapter four is where the Excel graphing techniques get used to predict the future, and where we realise that capacity planning is really a full-time activity if one is to avoid knee-jerk reactions to resource shortages.

The book rounds off with a few pages on automated deployments, which seem somewhat out of place, and then a useful summary appendix on quick strategies of how to deal with a sudden increase in demand. The final appendix has, of course, a list of software applications for the monitoring, measurement, and deployment of systems. The whole goal of the book is to help you delay expenditure so that you deploy equipment at the right time for your system. It does a very good job of meeting this goal though as it does contain information on build and deployment matters, though my personal preference would have been to have further information on how one would scale such systems (though there is at least one other O'Reilly publication covering that area). I would also have liked to have seen more information on capacity planning of the network infrastructure (though load balancing is mentioned in passing) rather than the sole focus on single systems and server farms (you are by the way expected to know how to aggregate your information to get a holistic view).

I do sound a bit critical but if you are responsible over the next two years for making sure your web based users can get to your hosted services within a decent response time, you would be foolish to ignore the information this slim but useful books provides.

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