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

In this chapter, we explored serverless computing and its integration with Java’s concurrency capabilities. We examined the core concepts of serverless architectures, including event-driven processing, statelessness, and automatic scaling, along with their advantages and potential drawbacks. Understanding these concepts is crucial for effectively leveraging serverless computing in your applications.

We discussed adapting Java’s concurrency model to serverless environments, focusing on tools such as CompletableFuture and parallel streams. We highlighted the best practices for Java serverless applications, including strategies for minimizing cold starts, efficient resource management, and leveraging frameworks such as Spring Cloud Function, Micronaut, and Quarkus.

The chapter introduced major serverless platforms such as AWS SAM, Azure Functions Core Tools, Google Cloud Functions, and Oracle Functions, highlighting their unique features and how they simplify...