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

Conquering concurrency – best practices for robust cloud-native applications

Building cloud apps that juggle multiple tasks at once? It’s like managing a bustling zoo of data and operations! But fear not, because we’ve got the best practices to tame the concurrency beasts and build robust, scalable cloud apps. Here are the best practices to embed:

Early identification: Proactively identify and address concurrency challenges through early analysis, modeling, and code review:
- Analyze application requirements: Identify critical sections, shared resources, and potential points of contention early in the design phase
- Use concurrency modeling tools: Utilize modeling tools such as statecharts or Petri nets to visualize and analyze potential concurrency issues
- Review existing code for concurrency bugs: Conduct code reviews and static analysis to identify potential race conditions, deadlocks, and other concurrency problems
Embrace immutable data: Embrace unchangeable...