Jvm Performance Engineering
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JVM Performance Engineering
Author: Monica Beckwith
language: en
Publisher: Addison-Wesley Professional
Release Date: 2024-04-22
Peek Under the Hood of the Complex but Fascinating Java Virtual Machine Dive into the intricacies of JVM performance with JVM Performance Engineering, the essential guide for seasoned Java developers eager to demystify the JVM. Focusing on the OpenJDK HotSpot VM, this book provides insights into cutting-edge Java performance techniques and trends. Distinguished Java Champion Monica Beckwith blends theoretical insights and practical tools--encompassing case studies, applications, use-case diagrams, and process flow charts--to demonstrate diagnostic techniques, performance methodologies, and optimizations. This manual is a portal to excelling in Java performance engineering, offering Java developers, system architects, and software engineers the tools to foster career advancement and success with Java applications. Examine the evolving Java type system, from lambda expressions to the advent of records and sealed classes, and explore how Project Valhalla aims to further optimize performance Leverage the Unified JVM Logging Interface for enhanced diagnostics, monitoring, and performance testing, featuring the novel asynchronous logging mechanism Grasp the intricate relationship between JVM and hardware, mastering end-to-end Java performance optimization techniques Gain deep insights into JVM's garbage collection and memory management, examining the pivotal Garbage First and Z GCs--and how they are shaping the Java performance landscape Explore efficient deployment strategies and techniques to accelerate JVM readiness, leveraging class data sharing, ahead-of-time compilation, and innovations like GraalVM and upcoming Project Leyden Embark on an exploration of the synergy between the JVM and exotic hardware like GPUs and FPGAs and revel in the potential of Project Panama and TornadoVM in high-computational scenarios such as machine learning and data analytics Look ahead to the future of Java concurrency with Virtual Threads, and investigate runtime optimizations of string handling and concurrency, propelling Java forward Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside for details.
Java Performance: The Definitive Guide
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. You’ll gain in-depth knowledge of Java application performance, using the Java Virtual Machine (JVM) and the Java platform, including the language and API. Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way Java 7 and 8 applications perform. Apply four principles for obtaining the best results from performance testing Use JDK tools to collect data on how a Java application is performing Understand the advantages and disadvantages of using a JIT compiler Tune JVM garbage collectors to affect programs as little as possible Use techniques to manage heap memory and JVM native memory Maximize Java threading and synchronization performance features Tackle performance issues in Java EE and Java SE APIs Improve Java-driven database application performance
Performance Engineering Best Practices
DESCRIPTION Elevate your application's performance with "Performance Engineering Best Practices." This comprehensive guide provides the knowledge and techniques to optimize your software's speed, scalability, and reliability. Learn the skills of performance engineering, refine your craft, identify and eliminate performance bottlenecks, and ensure your applications deliver exceptional user experiences. This book explores Performance Engineering, covering foundational concepts, advanced techniques, and emerging trends. It defines performance engineering versus performance testing, highlights its role in organizational success, and stresses integrating performance throughout development. Key topics include service level objectives (SLOs), cloud performance challenges, and balancing capacity with costs. The book details optimization techniques for cloud platforms, Java, databases, and architectural styles while addressing observability with logging, error handling, and alert strategies. It concludes with insights into AI/ML integration and the impact of evolving technologies. After reading the book, the reader will gain a holistic understanding of performance and what to do with the design process, implementation, and testing stages of the development lifecycle to ensure fast IT platforms. KEY FEATURES ● Learn to build high performance IT platforms, enhance runtime environments, and use Kubernetes effectively. ● Discover methods to accelerate cloud platform delivery while ensuring quality with automated performance checks. ● Understand efficient design patterns and coding practices to maintain fast-running distributed platforms without extensive code refactoring. WHAT YOU WILL LEARN ● Understand the basics of performance engineering and how it differs from Performance Testing. ● Learn to apply performance principles throughout the software development lifecycle (SDLC). ● Explore cloud-specific challenges, like scaling, regional latency, and managing costs. ● Master techniques for optimizing JVM, writing efficient Java code, and database performance. ● Discover tools for performance automation, observability, alerting, and creating scalable architectures. WHO THIS BOOK IS FOR This book is for site reliability engineers, architects, developers, managers, and performance engineers. It showcases a holistic understanding of processes related to performance engineering for building fast IT platforms. TABLE OF CONTENTS 1. Introduction to Performance Engineering 2. Building a Performance Practice 3. Challenges and Realities of Cloud Performance 4. Cloud Environment and Scalability 5. Performance Automation 6. Cloud Web Platform Optimization 7. Java Virtual Machine Optimization 8. Java Code Optimization 9. Database Optimization 10. High Performance Architectures 11. Error Handling and Logging 12. Cloud Observability and Cloud Profiling 13. Alerting Strategies 14. Future Trends in Performance Engineering