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Pro PHP Application Performance - Tuning PHP Web Projects for Maximum Performance (Paperback, 1st ed.)
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Pro PHP Application Performance - Tuning PHP Web Projects for Maximum Performance (Paperback, 1st ed.)
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This book contains tips, tricks, and techniques to make new and
existing PHP applications much faster and less resource-hungry.
Author Armando Padilla looks at all major sections of the PHP
application stack from server hardware to database and web server
performance. PHP program application performance is the center of
this book, and Padilla shows you how to improve performance by best
practices, proper design, and best-of-breed tools. Padilla starts
out by establishing performance testing and benchmarking
methodology using common open source and browser-based testing
tools. He then discusses best practices for PHP development, and
also explains refactoring existing code, both with performance in
mind. In addition to best coding practices, this book will teach
you how to use and tweak Opcode caches such as APC, XCache, and
eAccelerator. Padilla then highlights how to support the efficient
running of PHP applications, tweaks and settings by taking
advantage of the GNU/Linux and Microsoft Windows operating systems
to improve hosting performance and reliability. Additional tips on
web server improvements and database administration help round out
the picture.Finally, Padilla presents some hardware example
configurations tuned for high performance. What you ll learn * How
to improve the performance of existing PHP applications * How to
maximize the performance of existing operating systems and
databases * How to refactor existing PHP code for better
performance * How to identify and rectify bottlenecks in PHP code *
How to take advantage of variable caching to increase performance *
Strategies for selecting server hardware for best performance Who
this book is for This book will appeal to established PHP
developers who wish to write new, complex applications or want to
rearchitect existing ones. Developers of other languages such as
Ruby, Python, and VB.NET will also have an interest in the
techniques for tuning the performance of web servers, databases,
and operating systems.
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