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Optimizing Linux® Performance: A Hands-On Guide to Linux® Performance ToolsBy
Table of Contents
| Index
The first comprehensive, expert guide for end-to-end Linux
application optimization
Learn to choose the right toolsand use them together to
solve real problems in real production environmentsSuperior application performance is more crucial than
everand in today''s complex production environments, it''s
tougher to ensure, too. If you use Linux, you have extraordinary
advantages: complete source code access, plus an exceptional array
of optimization tools. But the tools are scattered across the
Internet. Many are poorly documented. And few experts know how to
use them together to solve real problems. Now, one of those experts
has written the definitive Linux tuning primer for every
professional: Optimizing Linux® Performance.Renowned Linux benchmarking specialist Phillip Ezolt introduces
each of today''s most important Linux optimization tools, showing
how they fit into a proven methodology for perfecting overall
application performance. Using realistic examples, Ezolt shows
developers how to pinpoint exact lines of source code that are
impacting performance. He teaches sysadmins and application
developers how to rapidly drill down to specific bottlenecks, so
they can implement solutions more quickly. You''ll discover how
to:
Identify bottlenecks even if you''re not familiar with the
underlying system
Find and choose the right performance tools for any
problem
Recognize the meaning of the events you''re measuring
Optimize system CPU, user CPU, memory, network I/O, and disk
I/Oand understand their interrelationships
Fix CPU-bound, latency-sensitive, and I/O-bound applications,
through case studies you can easily adapt to your own
environmentInstall and use oprofile, the advanced systemwide profiler for
Linux systemsIf you''re new to tuning, Ezolt gives you a clear and practical
introduction to all the principles and strategies you''ll need. If
you''re migrating to Linux, you''ll quickly master Linux equivalents
to the tools and techniques you already know. Whatever your
background or environment, this book can help you improve the
performance of all your Linux applicationsincreasing
business value and user satisfaction at the same time.
How Is This Book Organized?
This book teaches an audience of various levels of experience to find and fix performance problems. To accomplish this, the chapters are presented so that you can pick and choose to read different parts of the book without reading the entire book straight through.Chapter 1 is devoted to the basic methods of performance problem hunting. It contains a series of non-Linuxspecific tips and suggestions that prove useful for tracking down performance issues. These guidelines are general suggestions for performance problem hunting and can be applied to tracking down performance issues on any type of computer system.Chapters 2 through 8 (the bulk of this book) cover the various tools available to measure different performance statistics on a Linux system. These chapters explain what various tools measure, how they are invoked, and provide an example of each tool being used. Each chapter demonstrates tools that measure aspects of different Linux subsystems, such as system CPU, user CPU, memory, network I/O, and disk I/O. If a tool measures aspects of more than one subsystem, it is presented in more than one chapter. Each chapter describes multiple tools, but only the appropriate tool options for a particular subsystem are presented in a given chapter. The descriptions follow this format:
- Introduction This section explains what the tool is meant to measure and how it operates.Performance tool options This section does not just rehash the tool's documentation. Instead, it explains which options are relevant to the current topic and what those options mean. For example, some performance tool man pages identify the events that a tool measures but do not explain what the events mean. This section explains the meaning of the events and how they are relevant to the current subsystem.Example This section provides one or more examples of the tool being used to measure performance statistics. This section shows the tool being invoked and any output that it generates.
