Editorial Reviews. ukraine-europe.info Review. More to Explore: See More Java Guides . Title Java Performance (Java Series) - Kindle edition by Charlie Hunt, Binu John. Download it once and read it on your Kindle device, PC, phones or tablets. Editorial Reviews. About the Author. Scott Oaks is an architect at Oracle Corporation, where he Download it once and read it on your Kindle device, PC, phones or tablets. Use features like eBook features: Highlight, take notes, and search. Media, Inc. Java Performance: The Definitive Guide, the image of saiga antelopes, and related trade dress are .. is available for download at.
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Coding and testing are often considered separate areas of expertise. In this comprehensive guide, author and Java expert Scott Oaks takes the approach that anyone who works with Java should be equally adept at understanding how code behaves in the JVM, as well as the tunings likely to help its performance. Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way Java 7 and 8 applications perform. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. To get the free app, enter your mobile phone number. In , Scott became a Java evangelist for Sun and in joined their Java Performance group--which has been his primary focus ever since.
The starting discussion on general performance optimization is not very useful for an experienced programmer. For example the advice to "write better algorithms" is not really what I was looking for in a book on Java performance. However, for inexperienced programmers it is a good starting place. For those looking for Java specifics the later chapters contain the most useful information.
The hints and special cases were useful guidelines and provided information on areas to start looking for optimization but were of less overall utility than the JVM discussions. Perfect various java performance book.
Standard performance books are all about GC, JVM, classloaders and the stuff, but this book touches different aspects of java performance avoiding too detailed information that is for sure not important for java programmers excluding oracle JVM developers or HFT systems developers who really need to know all JVM insides. Though this does not seem that all themes are covered superficially they are really valuable and useful.
GC advice helped me in production very much. Style of book is light, examples are clear, I think every java developer should read this book for sure. One person found this helpful. Generally a nice book and a good thing to use as references though I guess JVM documentation can do the same thing. The take-out of this book is that it can guide you into situation when you might want to think about some JVM param tuning.
The author is also quite honest in his writing at the beginning. The best and most applicable way to improve software performance is at the algorithm and coding level. Some readers here may dissect his examples further, but I think the author has already cautioned us at the beginning about the gain from tuning JVM parameters.
Defaults JVM parameters will be good in the vast majority of cases.
eBook: Java enterprise performance | Dynatrace
Overall, I would like to give a 3. I think 3 is a fair score. Overall this book has given an amazing insight into JVM performance tuning and considerations regarding Java SE code performance. However I found the JEE part was lacking in detail in comparison to the other parts. Just like the title says, it's really THE definitive guide. Paperback Verified Purchase. Excellent book to know the performance details and how to tune them. It's a great book with great ideas.
An outstanding resource that lives up to its title. Oaks is expert and gives clear descriptions of how to measure and understand Java performance, why it works as it does, and the steps the practitioner should take to improve performance. I've already used it with great benefit on the application I work with. The strongest possible recommendation for anybody working with Java.
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This item: Java Performance: The Definitive Guide: Getting the Most Out of Your Code. Collecting Performance Data. Collecting and Analyzing Execution Time Data. Visualizing Performance Data. Controlling Measurement Overhead. How Humans Perceive Performance. How Garbage Collection Works.
The Impact of Garbage Collection on application performance. Reducing Garbage Collection Pause time. Making Garbage Collection faster. The different kinds of Java memory leaks and how to analyse them. High Memory utilization and their root causes. Out-Of-Memory, Churn Rate and more.
Approaching Performance Engineering Afresh. Agile Principles for Performance Evaluation. Employing Dynamic Architecture Validation. Performance in Continuous Integration. Enforcing Development Best Practices. Load Testing—Essential and Not Difficult! No matter which programming language you use to run on JVM, this book is the essential reference until something better comes along. On the other hand, make no mistake, this is not a lightweight book, or a cookbook which you can consult for a few performance tuning recipes.
Reading Java Performance is more like drinking from the firehose. Whether you are a beginner, or a seasoned developer, it will take time to digest the gory details presented.
From start to finish, it is not difficult to see that if you want to consider yourself a serious Java performance engineer, you need to master the majority of the book. Chapter 2 starts with an overview of the basics of operating systems performance and monitoring, setting the stage for the upcoming chapters and acting as a refresher. The authors are very careful to explain concepts concretely by giving examples from Linux, Solaris and MS Windows systems, which makes sense given the portability of JVM.
Chapter 3 and 4, if taken together, provide the most comprehensive technical explanation of Java Virtual Machine and Just-in Time compilation from a performance perspective. Even if you are not facing performance problems yet , this two chapters make a very solid and clear reference for understanding JVM and JIT technology. The terminology, concepts and details in these chapters are very important: Without a solid understanding of them, it is not easy to understand the discussions in the following chapters.
Java Performance: The Definitive Guide
After introducing the fundamental concepts about profiling, the authors give concrete examples using different profilers, such as Oracle Solaris Studio Performance Anaylzer, and NetBeans profiler.
Chapter 7 can be considered the most critical part of the book. Authors dedicate 70 pages to a detailed discussion on tuning the JVM and the various garbage collectors. They refrain from making bold statements and always stress how these things are very context sensitive and without proper measurement and profiling not many things can be generalized.
They have my utmost respect for this scientific and engineering approach. The authors explain how to construct hypotheses regarding performance problems, how to conduct experiments to gather data from the system in question, and then how to use statistical methods to interpret the results.
If you have a scientific background, especially natural sciences, where you had to use statistical methods to analyze experiment data, then this chapter will be very familiar but I guess this is also where the brains of the majority of the Java developers will explode.
The remaining chapters continue with the theme of benchmarking, each chapter dedicate to even more specialized domains of benchmarking. For example Chapter 9 focuses on the topic of benchmarking multi-tiered applications and it even dares to touch the topic of Markov chains for modeling realistic interactions and therefore gathering useful synthetic data taking into account the fact that for most of the enterprise Java developers secondary school arithmetic is more than enough, this chapter can be easily considered as rocket science for the majority of Java developers.
The remaining chapters delve into the details of web application, web services and persistence performance, each one concentrating on the unique analysis, performance and tuning challenges of those domains. There is not much to critcize in this superb technical book dedicated to the performance enginnering on the Java platform. A few minor criticisms: If you want to try out some of the examples in the book, you have to buy that suite.
You can alternatively try to come up with similar examples using the freely available SPECjvm, but it would be better if the authors used something that is freely available.
Apart from that, authors are a little biased towards Oracle, e. Finally, even though they provide detailed code listings which are used to indicate different techniques for performance anaylsis and profiling, they are not from real world scenarios and this artificial examples might not be very helpful for the majority of the developers apart from demonstration purposes.
I can wholeheartedly recommend this book to any software engineer who wants to understand the Java platform and Java Virtual Machine from a performance perspective, as well as to engineers who want to tune their applications for better performance.
View 1 comment. Good reference if you need to deal with garbage collection. The update has some newer issues for java 8. Really good book if you want to understand the key concepts about the JVM regarding monitoring and performance.
What actions you should take to understand what's happening underneath your application and tune JVM to squeeze the maximum performance. May 03, Paul rated it really liked it Shelves: Solid overview of JVM tuning, performance monitoring, profiling and all of the low-level technical details of the JVM that are worth knowing when needing to debug performance issues.