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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

View More author details

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

In Appendix A, you will learn how to set up a cloud-native environment for Java applications. This comprehensive guide covers everything from building and packaging Java applications to deploying them on popular cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Key topics include:

Building and packaging: Step-by-step instructions on using build tools like Maven and Gradle to create and manage Java projects.
Ensuring cloud-readiness: Best practices for making your Java applications stateless and configurable to thrive in cloud environments.
Containerization: How to create Docker images for your Java applications and deploy them using Docker.
Cloud deployments: Detailed procedures for deploying Java applications on AWS, Azure, and GCP, including setting up the necessary cloud environments, creating and managing cloud resources, and using specific cloud services like Elastic Beanstalk, Kubernetes, and serverless functions...