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Java Concurrency and Parallelism

Java Concurrency and Parallelism

By : Jay Wang
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Java Concurrency and Parallelism

Java Concurrency and Parallelism

5 (1)
By: Jay Wang

Overview of this book

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.
Table of Contents (20 chapters)
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Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing
7
Part 2: Java's Concurrency in Specialized Domains
12
Part 3: Mastering Concurrency in the Cloud – The Final Frontier

The Horizon Ahead

As cloud technologies continue to evolve at a rapid pace, it is crucial for developers and organizations to stay ahead of the curve and prepare for the next wave of innovations. This chapter will explore the emerging trends and advancements in the cloud computing landscape, with a particular focus on Java’s role in shaping these future developments.

We will begin by examining the evolution of serverless Java, where frameworks such as Quarkus and Micronaut are redefining the boundaries of functions as a service. These tools leverage innovative techniques, such as native image compilation, to deliver unprecedented performance and efficiency in serverless environments. Additionally, we will delve into the concept of serverless containers, which allow for the deployment of entire Java applications in a serverless fashion, harnessing the benefits of container orchestration platforms such as Kubernetes and Amazon Web Services (AWS) Fargate.

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