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.
Author: Benjamin J Evans
Publisher: "O'Reilly Media, Inc."
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
Additional Resources for Java Performance If you want to learn more about writing performant Java code and applications, we recommend the following books: • Optimizing Java: Practical Techniques for Improving JVM Application Performance ...
Author: Daniel Bryant
Publisher: O'Reilly Media
Continuous delivery adds enormous value to the business and the entire software delivery lifecycle, but adopting this practice means mastering new skills typically outside of a developer’s comfort zone. In this practical book, Daniel Bryant and Abraham Marín-Pérez provide guidance to help experienced Java developers master skills such as architectural design, automated quality assurance, and application packaging and deployment on a variety of platforms. Not only will you learn how to create a comprehensive build pipeline for continually delivering effective software, but you’ll also explore how Java application architecture and deployment platforms have affected the way we rapidly and safely deliver new software to production environments. Get advice for beginning or completing your migration to continuous delivery Design architecture to enable the continuous delivery of Java applications Build application artifacts including fat JARs, virtual machine images, and operating system container (Docker) images Use continuous integration tooling like Jenkins, PMD, and find-sec-bugs to automate code quality checks Create a comprehensive build pipeline and design software to separate the deploy and release processes Explore why functional and system quality attribute testing is vital from development to delivery Learn how to effectively build and test applications locally and observe your system while it runs in production
Practical techniques and best practices for optimizing Java applications through concurrency, ... If a programmer can attach the value of strong microbenchmarking in the form of improved revenue and performance in a JVM application, ...
Author: Mayur Ramgir
Publisher: Packt Publishing Ltd
Best practices to adapt and bottlenecks to avoid About This Book Tackle all kinds of performance-related issues and streamline your development Master the new features and new APIs of Java 9 to implement highly efficient and reliable codes Gain an in-depth knowledge of Java application performance and obtain best results from performance testing Who This Book Is For This book is for Java developers who would like to build reliable and high-performance applications. Prior Java programming knowledge is assumed. What You Will Learn Work with JIT compilers Understand the usage of profiling tools Generate JSON with code examples Leverage the command-line tools to speed up application development Build microservices in Java 9 Explore the use of APIs to improve application code Speed up your application with reactive programming and concurrency In Detail Finally, a book that focuses on the practicalities rather than theory of Java application performance tuning. This book will be your one-stop guide to optimize the performance of your Java applications. We will begin by understanding the new features and APIs of Java 9. You will then be taught the practicalities of Java application performance tuning, how to make the best use of garbage collector, and find out how to optimize code with microbenchmarking. Moving ahead, you will be introduced to multithreading and learning about concurrent programming with Java 9 to build highly concurrent and efficient applications. You will learn how to fine tune your Java code for best results. You will discover techniques on how to benchmark performance and reduce various bottlenecks in your applications. We'll also cover best practices of Java programming that will help you improve the quality of your codebase. By the end of the book, you will be armed with the knowledge to build and deploy efficient, scalable, and concurrent applications in Java. Style and approach This step-by-step guide provides real-world examples to give you a hands-on experience.
Direct from Sun's Java(tm) Performance Team, this is a comprehensive field manual full of battle-tested strategies and tactics for developing high-performance applications and applets with Java technology.
Author: Steve Wilson
Publisher: Addison-Wesley Professional
Direct from Sun's Java(tm) Performance Team, this is a comprehensive field manual full of battle-tested strategies and tactics for developing high-performance applications and applets with Java technology. It covers every aspect of Java performance, including speed, scalability, RAM footprint, startup time, and user-perceived performance factors. Part I covers the crucial process issues associated with Java optimization, outlining how performance tuning fits into the software development process, showing how to use benchmarks and profiling tools to identify hot spots and bottlenecks, and presenting general strategies for enhancing the performance of Java technology-based systems. In Part II, the authors present a wide array of concrete optimization techniques. The book contains detailed appendices on garbage collection and the Java HotSpot(tm) Virtual Machine, written to address key performance questions.
Before reading this section , keep a few things in mind about optimization : • Do not optimize code unless you have ... all performance improvement techniques presented in this section result in faster code when the previously given ...
Author: Peter Haggar
Publisher: Addison-Wesley Professional
Índice abreviado: General techniques -- Objects and equality -- Exception handling -- Performance -- Multithreading -- Classes and interfaces -- Appendix: learning Java.
To improve the performance, Turbo selects the large size of page for big data applications, and automatically ... In order to find the optimal JVM settings, Turbo employs iterative optimization techniques  to search for the best ...
Author: Ali Emrouznejad
Category: Technology & Engineering
The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.
environments , improving performance in new applets , 154 , 249 applications , 214 , 265 -based applications ... ( s ) improving performance of , 245 measuring execution time of , 338 system software , 347 virtual machine ( JVM ) ...
Author: Paul C. Tinnirello
Publisher: CRC Press
The Systems Development Handbook provides practical guidance for the range of new applications problems, featuring contributions from many industry experts. The book provides step-by-step charts, tables, schematics, and a comprehensive index for easy access to topics and areas of related interest. Topics include cooperative processing; the transition to object-oriented development; rapid application development tools and graphical user interfaces (GUIs); database architecture in distributed computing; development tools and techniques, including design, measurement, and production; and more.
Abstract This paper attempts to solve the inherently slow performance problem of Java by improving instruction level ... In order to further optimize JVM structures , unnecessary stack operations can be eliminated by combining two or ...
Other functions include memory allocation and deallocation ( garbage collection ) and Java to native thread mapping ... must be amortized by the improvement in execution speed for optimization techniques to be practical and feasible .
Figure 6 : Number of Phi- , Null - Check and Array - Check instructions before and after optimization . ... Batch Environment Batch Parser Main SourceClass Source Member sun.tools.java Binary Attribute Binary Class Binary Code Scanner ...
Category: Programming languages (Electronic computers)