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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17. Other Books You May Enjoy

Appendix A: Setting up a Cloud-Native Java Environment

1. Appendix B: Resources and Further Reading

Summary

Chapter 1 introduced the fundamental concepts of Java cloud-native development, focusing on concurrency and parallelism. It distinguished between managing tasks on single-core (concurrency) versus multi-core processors (parallelism), with practical Java examples. The chapter highlighted Java’s role in cloud computing, emphasizing its scalability, ecosystem, and community. Practical applications, including the Java AWS SDK and Lambda functions, illustrated Java’s adaptability across cloud models.

Significant Java updates such as Project Loom and advanced garbage collection methods were discussed for optimizing performance. Java’s effectiveness in complex environments was showcased through case studies of Netflix and X (formerly Twitter), among others. These focused on microservices, real-time data processing, and scalability.

The narrative then shifted to practical strategies for distributed transactions, data consistency, and microservices state management...

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

Table of Contents (20) Chapters

Summary

Authors (1)

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