Optimizing Java
Practical techniques for improving JVM application performance
Published on 31. May 2018
Book
Paperback/Softback
600 pages
978-1-4920-2579-5 (ISBN)
Description
Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex technology stacks will learn how to tune Java applications for performance using a quantitative, verifiable approach.
Most resources on performance tend to discuss the theory and internals of Java virtual machines, but this book focuses on the practicalities of performance tuning by examining a wide range of aspects. There are no simple recipes, tips and tricks, or algorithms to learn. Performance tuning is a process of defining and determining desired outcomes. And it requires diligence.
Learn how Java principles and technology make the best use of modern hardware and operating systems
Explore several performance tests and common anti-patterns that can vex your team
Understand the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarking
Dive into JVM garbage collection logging, monitoring, tuning, and tools
Explore JIT compilation and Java language performance techniques
Learn performance aspects of the Java Collections API and get an overview of Java concurrency
Most resources on performance tend to discuss the theory and internals of Java virtual machines, but this book focuses on the practicalities of performance tuning by examining a wide range of aspects. There are no simple recipes, tips and tricks, or algorithms to learn. Performance tuning is a process of defining and determining desired outcomes. And it requires diligence.
Learn how Java principles and technology make the best use of modern hardware and operating systems
Explore several performance tests and common anti-patterns that can vex your team
Understand the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarking
Dive into JVM garbage collection logging, monitoring, tuning, and tools
Explore JIT compilation and Java language performance techniques
Learn performance aspects of the Java Collections API and get an overview of Java concurrency
More details
Language
English
Place of publication
Sebastopol
United States
Dimensions
Height: 232 mm
Width: 178 mm
ISBN-13
978-1-4920-2579-5 (9781492025795)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Benjamin J. Evans | James Gough
Optimizing Cloud Native Java
Practical Techniques for Improving Jvm Application Performance
Book
10/2024
2nd Edition
O'Reilly
€69.50
Available immediately
Additional editions
E-Book
04/2018
O'Reilly
€50.49
Available for download
Benjamin J. Evans | James Gough | Chris Newland
Optimizing Java
Practical Techniques for Improving JVM Application Performance
E-Book
04/2018
O'Reilly
€50.49
Available for download
Persons
Ben Evans is the Co-founder and Technology Fellow of jClarity, a startup which delivers performance tools to help development & ops teams. He helps to organise the London Java Community, and represents them on the Java Community Process Executive Committee where he works to define new standards for the Java ecosystem. He is a Java Champion; JavaOne Rockstar; co-author of "The Well-Grounded Java Developer" and a regular public speaker on the Java platform, performance, concurrency, and related topics. James Gough is a technical trainer and writer specializing in Java. He spends the majority of his time teaching advanced Java and concurrency courses to developers with varying technical backgrounds. He serves on the Java Community Process Executive Committee and contributed towards the design and testing of JSR-310, the date time system built for Java 8. James is a regular public speaker and helps organize events at the London Java Community. Chris Newland has been working with Java since 1999 when he started his career using the language to implement intelligent agent systems. He is now a senior developer and team lead at ADVFN using Java to process stock market data in real time. Chris is the inventor of JITWatch (https://github.com/AdoptOpenJDK/jitwatch), an open-source visualiser for understanding the Just-In-Time (JIT) compilation decisions made by the HotSpot JVM. He is a keen JavaFX supporter and runs a community OpenJFX build server.