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Optimizing Linux Performance: A Hands-On Guide to Linux Performance Tools

Optimizing Linux Performance: A Hands-On Guide to Linux Performance Tools
The first comprehensive, expert guide for end-to-end Linux application optimization Learn to choose the right tools--and use them together to solve real problems in real production environments Superior application performance is more crucial than ever--and 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(R) 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 expert system 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 expert system 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, expert system and disk I/O--and understand their interrelationships Fix CPU-bound, latency-sensitive, expert system and I/O-bound applications, through case studies you can easily adapt toyour own environment Install expert system and use oprofile, the advanced systemwide profiler for Linux systems If you?re new to tuning, Ezolt gives you a clear expert system and practical introduction to all the principles expert system and strategies you?ll need.
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Persistence (computer science) - In computer science, persistence refers to the characteristic of data that outlives the execution of the program that created it: which is achieved in practice by storing the data in non-volatile storage such as a file system or a relational database or an ...

Business object (computer science) - Business objects are objects in an object-oriented computer program that abstract the entities in the domain that the program is written to represent. For example, an order entry program needs to work with concepts such as orders, line items, invoices and so on.

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