Pro PHP Application Performance (Paperback)

Armando Padilla

ISBN 10: 1430228989 / ISBN 13: 9781430228981

Published by APress, New York, 2010

About this Item

Paperback. Pro PHP Application Performance will help you understand all the technologies and components which play a role in how well your applications run. When seconds can mean the difference between retaining a user and losing a user, it's important for all of us to have optimization as part of our project roadmap. But what components within your application should you analyze? How should you optimize? And how can you measure how well your application is performing? These are some of the questions that are answered in this book. Along the way you will also learn the "why" of optimizing. Youll discover why you should optimize a specific component, why selecting one function over another is beneficial, and how to find and use the optimization tools available to the open source community. Youll also learn how to deploy caching software as well as web server software. Pro PHP Application Performance will also teach you more advanced techniques, such as: Using Xdebug to profile functions that are not running as efficiently as possible. Comparing opcode executed by different PHP functions to narrow the search for functions that run efficiently. Using strace to analyze Apache while your application is served to the user. Once you complete this book you will have a complete sense of where to start optimizing and, most importantly, have the tools which allow you to continue optimizing in other PHP applications going forward. Pro PHP Application Performance will also teach you more advanced techniques, such as: Using Xdebug to profile functions that are not running as efficiently as possible. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781430228981

Bibliographic Details

• Title: Pro PHP Application Performance (Paperback)
• Publisher: APress, New York
• Publication Date: 2010
• Language: English
• ISBN 10: 1430228989
• ISBN 13: 9781430228981
• Binding: Paperback
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

Pro PHP Application Performance will help you understand all the technologies and components which play a role in how well your applications run. When seconds can mean the difference between retaining a user and losing a user, it's important for all of us to have optimization as part of our project roadmap. But what components within your application should you analyze? How should you optimize? And how can you measure how well your application is performing? These are some of the questions that are answered in this book.

Along the way you will also learn the "why" of optimizing. You’ll discover why you should optimize a specific component, why selecting one function over another is beneficial, and how to find and use the optimization tools available to the open source community. You’ll also learn how to deploy caching software as well as web server software. Pro PHP Application Performance will also teach you more advanced techniques, such as:

• Using Xdebug to profile functions that are not running as efficiently as possible.

• Comparing opcode executed by different PHP functions to narrow the search for functions that run efficiently.

• Using strace to analyze Apache while your application is served to the user.

Once you complete this book you will have a complete sense of where to start optimizing and, most importantly, have the tools which allow you to continue optimizing in other PHP applications going forward.

About the Author

Armando Padilla has over 10 years in the PHP community, and has contributed PHP development of asset management tools to both "Late Night with Conan O'Brien" and "Saturday Night Live". He contributed to the Zend framework powered DunderMifflinInfinity.com social networking web site, an NBC.com project for "The Office". He is currently an active PHP developer at Yahoo!, and is working on his master's degree in the computer science, semantic web, and data mining fields.