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  • Format: PDF

Performance tuning is an experimental science, but that doesnt mean engineers should resort to guesswork and folklore to get the job done. Yet thats 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…mehr

Produktbeschreibung
Performance tuning is an experimental science, but that doesnt mean engineers should resort to guesswork and folklore to get the job done. Yet thats 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 systemsExplore several performance tests and common anti-patterns that can vex your teamUnderstand the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarkingDive into JVM garbage collection logging, monitoring, tuning, and toolsExplore JIT compilation and Java language performance techniquesLearn performance aspects of the Java Collections API and get an overview of Java concurrency

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Autorenporträt
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 (), 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 at . Follow him on Twitter@chriswhocodes