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ISBN 10: 1805129260
ISBN 13: 978-1805129264
Author: Jay Wang
If you're a software developer, architect, or systems engineer, exploring Java's concurrency utilities and synchronization in the cloud, this book is an essential resource. Tech visionary Jay Wang, with over three decades of experience transforming industry giants, brings unparalleled expertise to guide you through Java's concurrency and parallel processing in cloud computing.
This comprehensive book starts by establishing the foundational concepts of concurrency and parallelism, vital for cloud-native development, and gives you a complete overview, highlighting challenges and best practices. Wang expertly demonstrates Java's role in big data, machine learning, microservices, and serverless computing, shedding light on how Java's tools are effectively utilized in these domains. Complete with practical examples and insights, this book bridges theory with real-world applications, ensuring a holistic understanding of Java in cloud-based scenarios. You'll navigate advanced topics, such as synchronizing Java's concurrency with cloud auto-scaling and GPU computing, and be equipped with the skills and foresight to tackle upcoming trends in cloud technology.
This book serves as your roadmap to innovation and excellence in Java cloud applications, giving you in-depth knowledge and hands-on practice for mastering Java in the cloud era.
- Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape
- Introduction to Java's Concurrency Foundations: Threads, Processes, and Beyond
- Mastering Parallelism in Java
- Java Concurrency Utilities and Testing in the Cloud Era
- Mastering Concurrency Patterns in Cloud Computing
- Java and Big Data - a Collaborative Odyssey
- Concurrency in Java for Machine Learning
- Microservices in the Cloud and Java's Concurrency
- Serverless Computing and Java's Concurrent Capabilities
- Synchronizing Java's Concurrency with Cloud Auto-Scaling Dynamics
- Advanced Java Concurrency Practices in Cloud Computing
- The Horizon Ahead
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Tags: Jay Wang, Java Concurrency