You're reading from Java Concurrency and Parallelism Master advanced Java techniques for cloud-based applications through concurrency and parallelism

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805129264

Length 496 pages

Edition 1st Edition

Languages

Java

Tools

Boost

Concepts

Application Development

Author (1):

Jay Wang

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Table of Contents (20) Chapters

Preface

1. Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing

2. Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape FREE CHAPTER

3. Chapter 2: Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond

4. Chapter 3: Mastering Parallelism in Java

5. Chapter 4: Java Concurrency Utilities and Testing in the Cloud Era

6. Chapter 5: Mastering Concurrency Patterns in Cloud Computing

7. Part 2: Java's Concurrency in Specialized Domains

8. Chapter 6: Java and Big Data – a Collaborative Odyssey

9. Chapter 7: Concurrency in Java for Machine Learning

10. Chapter 8: Microservices in the Cloud and Java’s Concurrency

11. Chapter 9: Serverless Computing and Java’s Concurrent Capabilities

12. Part 3: Mastering Concurrency in the Cloud – The Final Frontier

13. Chapter 10: Synchronizing Java’s Concurrency with Cloud Auto-Scaling Dynamics

14. Chapter 11: Advanced Java Concurrency Practices in Cloud Computing

15. Chapter 12: The Horizon Ahead

16. Index

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Appendix A: Setting up a Cloud-Native Java Environment

1. Appendix B: Resources and Further Reading

Advanced Java Concurrency Practices in Cloud Computing

In today’s rapidly evolving technological landscape, cloud computing has become an integral part of modern software architecture. As Java continues to be a dominant language in enterprise applications, understanding how to leverage its concurrency capabilities in cloud environments is crucial for developers and architects alike. This chapter delves into advanced Java concurrency practices specifically tailored for cloud computing scenarios.

Throughout this chapter, you’ll gain practical knowledge on implementing robust, scalable, and efficient concurrent Java applications in the cloud. We’ll explore cutting-edge techniques for enhancing redundancy and failover mechanisms, leveraging graphics processing unit (GPU) acceleration for computational tasks, and implementing specialized monitoring solutions for cloud-based Java applications.

By the end of this chapter, you’ll be equipped with the skills...