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

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

17. Other Books You May Enjoy

Appendix A: Setting up a Cloud-Native Java Environment

1. Appendix B: Resources and Further Reading

Questions

What is a key advantage of microservices architecture over monolithic architecture?
1. Increased complexity and coupling
2. Reduced flexibility and scalability
3. Independent deployment and scalability
4. Single point of failure
Which Java feature is essential for managing asynchronous tasks within microservices?
1. Java Virtual Machine (JVM)
2. Java Database Connectivity (JDBC)
3. CompletableFuture
4. JavaBeans
What is the primary role of a load balancer in a microservices architecture?
1. Encrypting data transfers
2. Distributing incoming network traffic across multiple instances
3. Data storage and management
4. Error logging and handling
Which pattern helps prevent a network or service failure from cascading to other parts of the system in microservices?
1. Singleton pattern
2. Factory pattern
3. Circuit breaker pattern
4. Builder pattern
Which best practice is recommended when implementing microservices in the cloud for handling data consistency?
1. Using a single shared database for all services
2. Employing different...