You're reading from High Performance with Java Discover strategies and best practices to develop high performance Java applications

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781835469736

Length 306 pages

Edition 1st Edition

Languages

Java

Tools

Java EE

Concepts

Data Structures and Algorithms

Author (1):

Dr. Edward Lavieri Jr.

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Table of Contents (26) Chapters

Preface

1. Part 1: Code Optimization FREE CHAPTER

2. Chapter 1: Peeking Inside the Java Virtual Machine

3. Chapter 2: Data Structures

4. Chapter 3: Optimizing Loops

5. Chapter 4: Java Object Pooling

6. Chapter 5: Algorithm Efficiencies

7. Part 2: Memory Optimization and I/O Operations

8. Chapter 6: Strategic Object Creation and Immutability

9. Chapter 7: String Objects

10. Chapter 8: Memory Leaks

11. Part 3: Concurrency and Networking

12. Chapter 9: Concurrency Strategies and Models

13. Chapter 10: Connection Pooling

14. Chapter 11: Hypertext Transfer Protocols

15. Part 4: Frameworks, Libraries, and Profiling

16. Chapter 12: Frameworks for Optimization

17. Chapter 13: Performance-Focused Libraries

18. Chapter 14: Profiling Tools

19. Part 5: Advanced Topics

20. Chapter 15: Optimizing Your Database and SQL Queries

21. Chapter 16: Code Monitoring and Maintenance

22. Chapter 17: Unit and Performance Testing

23. Chapter 18: Leveraging Artificial Intelligence (AI) for High-Performance Java Applications

24. Index

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Performance testing

The crux of this book has been to ensure our Java applications perform at the highest possible level. Several strategies, tools, and techniques have been presented to help us achieve our goal of high performance. In the previous section, we covered unit testing to help us ensure proper functionality. With performance testing, we will test our applications to see whether they can perform under various conditions and loads. This testing strategy involves evaluating the following characteristics of our applications: efficiency (speed), stability, responsiveness, reliability, and scalability.

There are several primary objectives of performance testing, including the determination of whether performance criteria have been met. We also want to identify performance bottlenecks so that we can refine our code. An additional objective is to ensure that our application can handle anticipated system and user loads.