Java Concurrency and Parallelism - Jay Wang

Java Concurrency and Parallelism

Master advanced Java techniques for cloud-based applications through concurrency and parallelism

(Autor)

Buch | Softcover
496 Seiten
2024
Packt Publishing Limited (Verlag)
978-1-80512-926-4 (ISBN)
39,85 inkl. MwSt
Unlock Java's full potential for cloud computing through expert insights from real-world case studies and stay ahead with the latest trends in agile and robust Java application development

Key Features

Master concurrency and parallelism to overcome cloud computing challenges in Java
Build scalable solutions with Big Data, ML, microservices, and serverless architectures
Explore cloud scaling, GPU utilization, and future tech innovations in Java applications
Purchase of the print or Kindle book includes a free PDF eBook

Book DescriptionIf 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.
What you will learn

Understand Java concurrency in cloud app development
Get to grips with the core concepts of serverless computing in Java
Boost cloud scaling and performance using Java skills
Implement Java GPU acceleration for advanced computing tasks
Gain insights into Java's role in the evolving cloud and AI technology
Access hands-on exercises for real-world Java applications
Explore diverse Java case studies in tech and fintech
Implement Java in AI-driven cloud and data workflows
Analyze Java's application in IoT and real-time analytics

Who this book is forThis book is for Java developers, software engineers, and cloud architects with intermediate Java knowledge. It's ideal for professionals transitioning to cloud-native development or seeking to enhance their concurrent programming skills. DevOps engineers and tech leads involved in cloud migration will also find valuable insights. Basic Java proficiency, familiarity with cloud concepts, and some experience with distributed systems is expected.

Jay Wang, a trailblazer in the IT sector, boasts a career spanning over two decades, marked by leadership roles at IT powerhouses such as Accenture, IBM, and a globally renowned telecommunications firm. An expert in Java since 2001 and cloud technologies since 2018, Jay excels in transitioning projects from monolithic to microservice architectures and cloud. As founder of Digitech Edge, he guides clients through AI-driven cloud solutions. His educational background includes an MS in management of IT from the University of Virginia and an MS in information systems from George Mason University.

Table of Contents

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
APPENDIX A
APPENDIX B

Erscheinungsdatum
Verlagsort Birmingham
Sprache englisch
Maße 191 x 235 mm
Themenwelt Informatik Programmiersprachen / -werkzeuge Java
Informatik Theorie / Studium Algorithmen
ISBN-10 1-80512-926-0 / 1805129260
ISBN-13 978-1-80512-926-4 / 9781805129264
Zustand Neuware
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