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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Case studies and performance analysis

So far in this chapter, we have argued that implementing optimization frameworks can greatly increase the performance and scalability of our Java applications. This section reviews two case studies and explores performance analysis to help determine the impact framework adoption has on our Java applications.

Case studies

Reviewing case studies based on plausible real-world situations can help demonstrate the advantages of adopting optimization frameworks. Here are two case studies.

Case study 1

Name: A microservices-based e-commerce application

Background: The Reinstate LLC company is a large e-commerce retailer that recently transitioned to a microservices architecture from its previous monolithic architecture. They used Spring Boot and Spring Cloud to improve scalability, reliability, and maintainability.

Opportunity: Reinstate LLC had difficulty scaling its monolithic system during peak times. They also noted that their development...