Image from Amazon
Title: Optimizing Java: Practical Techniques for Improving JVM Application Performance
Author(s): Ben Evans, James Gough & Chris Newland
Category: Advanced Java
Amazon wrote: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.
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I learned a good number of things. From the fun (CAFEDADA bytecode for modules) to the practical (tools for looking at JVM resources)
I've heard a talk about garbage collection a few times now. G1GC isn't easy to understand. Between reading this book and hearing one more talk on it, the concepts finally clicked.
I also learned a lot about modern hardware vs what I learned in school. And what book isn't made better by a ninja quote?
There were some API level concepts like why toUpperCase() is so complicated to implement. Along with warnings about premature optimization.
This is the first O'Reilly book that I've read that is in color. It definitely made the graphs better.
I give this book 10 out of 10 horseshoes.
Disclosure: I received a copy of this book from the publisher in exchange for writing this review on behalf of CodeRanch.
I'm Ben Evans, one of the authors of the book. I'll be popping into the forums to answer any questions that people have - about the book, my work with the LJC or anything else. The other authors and our illustrator should be here as well.
Thank you for having us on CodeRanch this week - and please ask away!