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Mastering the Java Virtual Machine

You're reading from   Mastering the Java Virtual Machine An in-depth guide to JVM internals and performance optimization

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835467961
Length 234 pages
Edition 1st Edition
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Author (1):
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Otavio Santana Otavio Santana
Author Profile Icon Otavio Santana
Otavio Santana
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Table of Contents (19) Chapters Close

Preface 1. Part 1: Understanding the JVM
2. Chapter 1: Introduction to the Java Virtual Machine FREE CHAPTER 3. Chapter 2: Class File Structure 4. Chapter 3: Understanding Bytecodes 5. Part 2: Memory Management and Execution
6. Chapter 4: Execution Engine 7. Chapter 5: Memory Management 8. Chapter 6: Garbage Collection and Memory Profiling 9. Part 3: Alternative JVMs
10. Chapter 7: GraalVM 11. Chapter 8: The JVM Ecosystem and Alternative JVMs 12. Part 4: Advanced Java Topics
13. Chapter 9: Java Framework Principles 14. Chapter 10: Reflection 15. Chapter 11: Java Annotation Processor 16. Chapter 12: Final Considerations 17. Index 18. Other Books You May Enjoy

To get the most out of this book

Before you begin reading this book and diving into the software requirements, it is crucial to understand the following technologies: Java 17, Maven, Git, and Docker. Familiarity with Java 17 is assumed, including knowledge of its syntax, object-oriented programming concepts, and familiarity with core libraries and frameworks. Understanding Maven will be beneficial, as it is a popular build automation tool for managing dependencies and building Java projects. Proficiency in Git, a version control system, is necessary to track and manage source code changes effectively. Lastly, knowledge of Docker, a containerization platform, will help understand how to package and deploy software applications in isolated environments.

Software/hardware covered in the book

Operating system requirements

Java 17

Windows, OSx, or Linux

Maven

Windows, OSx, or Linux

Git

Windows, OSx, or Linux

Docker

Windows, OSx, or Linux

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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