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High Performance with Java

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

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835469736
Length 306 pages
Edition 1st Edition
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Author (1):
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Dr. Edward Lavieri Jr. Dr. Edward Lavieri Jr.
Author Profile Icon Dr. Edward Lavieri Jr.
Dr. Edward Lavieri Jr.
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Table of Contents (26) Chapters Close

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 25. Other Books You May Enjoy

Practical profiling strategies

The benefits of profiling our Java applications to help identify and resolve performance issues have been established. We will next explore effective profiling strategies so that you can optimize your Java applications efficiently. This section covers strategies to identify performance bottlenecks and differentiate profiling approaches between development and production environments. We will also look at how to implement continuous profiling for long-term performance management.

Identifying performance bottlenecks

The primary goal of profiling is to identify performance bottlenecks. We can adopt several strategies to achieve this goal, including the following:

  • Begin by monitoring CPU usage, memory consumption, and response times. These high-level metrics can help you identify areas that require deeper analysis.
  • Consider using sampling profilers that can quickly identify methods that consume the most CPU time. Tools such as JVisualVM...
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