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Pro Java EE 5 Performance Management and Optimization
Details
First book to address and assess performance of enterprise Java-based applications using the new Java EE 5
Presents Java EE 5 Performance Management as a proven methodology, featuring a set of common problems that have been observed in real-world customer environments
Presents "wait-based" performance tuning methodology, the most efficient Java EE 5 tuning methodology, but one previously neglected in the Java EE 5 space
Pro Java EE 5 Performance Management and Optimization is the definitive resource and companion if you're tasked with managing a Java EE 5 environment. This book features proven methodology to guarantee top performing Java EE 5 applications, and explains how to measure performance in your specific environment. The book also details performance integration points throughout the development and deployment lifecycles that are paramount for application success.
Autorentext
Steven Haines is the author of three Java books: The Java Reference Guide (InformIT/Pearson, 2005), Java 2 Primer Plus (SAMS, 2002), and Java 2 From Scratch (QUE, 1999). In addition to contributing chapters and co-authoring other books, as well as editing countless software publications, he is also the Java Host on InformIT.com. As an educator, he has taught all aspects of Java at Learning Tree University as well as at the University of California, Irvine. By day he works as a Java EE 5 Performance Architect at Quest Software, defining performance tuning and monitoring software as well as managing and performing Java EE 5 performance tuning engagements for large-scale Java EE 5 deployments, including those of several Fortune 500 companies.
Klappentext
Pro Java EE 5 Performance Management and Optimization features proven methodology to guarantee top-performing Java EE 5 applications, and explains how to measure performance in your specific environment. The book also details performance integration points throughout the development and deployment lifecycles that are crucial for application success. For quality assurance and preproduction stages, this book guides you through testing and optimally deploying your Java EE 5 applications, with a focus on assessing capacity and discovering saturation points. It defines the concept and application of wait-based tuning one of the most effective approaches to application server tuning. The book also helps you assess and improve the health of your applications upon deployment. The topics covered include trending, forecasting, and capacity assessing and planning. When production issues arise, you'll be armed with troubleshooting methodology and solutions to common problems that have been observed in real-world environments. This book even guides you through the creation of a formal Java EE 5 performance management plan customized to your environment to help you interpret and react to changing trends in usage patterns.
Inhalt
Fundamentals.- An Introduction to Application Performance Management.- Quantifying Performance.- Performance Measurements.- Implementing Performance Measurements.- Application Life Cycle Performance Management.- Performance Through the Application Development Life Cycle.- Performance Tuning Methodology.- Tuning an Application Server.- High-Performance Deployments.- Performance and Scalability Testing.- Performance Management in Production.- Java EE Performance Assessment.- Production Troubleshooting Methodology.- Trending, Forecasting, and Capacity Planning.- Assembling a Performance Management Plan.- Tips and Tricks.- Solving Common Java EE Performance Problems.- Next Steps.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09781430211631
- Genre Programmiersprachen
- Auflage Softcover reprint of the original 1st edition
- Sprache Englisch
- Lesemotiv Verstehen
- Anzahl Seiten 424
- Herausgeber Apress
- Größe H235mm x B191mm x T23mm
- Jahr 2014
- EAN 9781430211631
- Format Kartonierter Einband
- ISBN 1430211636
- Veröffentlichung 28.11.2014
- Titel Pro Java EE 5 Performance Management and Optimization
- Autor Steven Haines
- Gewicht 787g