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Java Concurrency and Parallelism

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

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805129264
Length 496 pages
Edition 1st Edition
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Author (1):
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Jay Wang Jay Wang
Author Profile Icon Jay Wang
Jay Wang
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing FREE CHAPTER
2. Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape 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 17. Other Books You May Enjoy 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...
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