Textbook in PDF format

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
Book Description:
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.
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 for:
This 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.
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