Systems Performance: Enterprise and the Cloud

This page is about the book Systems Performance: Enterprise and the Cloud, published by Prentice Hall (2013). Here I'll describe the book, link to related content, and list errata. Also see the preface for a detailed description of the book, which is included in the sample chapter from the informIT site.

The book is available on Amazon, InformIT, and Safari. My favorite ebook format is the PDF version, which is on the InformIT site.

Why Systems Performance

Systems performance analysis is an important skill for all computer users, whether you're trying to understand why your laptop is slow, or optimizing the performance of a large-scale production environment. It is the study of both operating system (kernel) and application performance, but can also lead to more specialized performance topics, for specific languages or applications.

There are two general reasons for doing this:

Other activities of systems performance include benchmarking for the evaluation of systems, capacity planning, bottleneck elimination, and scalability analysis – so that you discover scalability limiters early, and in time to fix them.

Operating Systems

Operating systems based on two different kernels are used as examples in this book: Linux-based: Ubuntu, Fedora, and CentOS; and illumos-based (a fork of OpenSolaris): SmartOS, and OmniOS. You may be interested in only one of these, but covering others provides additional perspective, helping you better understand the design choices, and performance results, of each.

Audience

This book is primarily for system administrators, support staff, operators, and devops in enterprise and cloud environments. It is also a useful reference for developers, database administrators, and web server administrators who would like to understand operating system and application performance.

Why This Book is Different

While it covers performance tools and the background for understanding them, what makes this book different is the inclusion of many performance methodologies, including those covered quickly in my USENIX 2012 talk. I've been teaching and developing systems performance classes on and off for ten years, and have found methodologies to be crucial for giving students a starting point, and then guiding them through performance activities. The USE Method is one example I developed for this purpose.

Focusing on methodologies is one of the strategies I've used to make this book as timeless as possible, so that you can continue referring to it for the rest of your career. I'm still referring to The Art of Computer Systems Performance Analysis, by Raj Jain in 1991, over twenty years since it was written.

Table of Contents


sample chapter (PDF)

The chapters end on page 635, and then there are appendices and other matter. The preface, included in the sample chapter PDF, has a longer description of the chapters and their structure.

Related Content

Errata

1st Printing:

These corrections have already been sent to the publisher.

The first copies that went through the print machinery had an issue with binding and gluing for the first pages, which in the worst case has led to pages falling out; the publisher has been replacing those copies, and checking all future copies.

Thanks to all the reviewers, and to Deirdré Straughan for editing another one of my books!


Last updated: 05-Jan-2014