What this book covers
Chapter 1, Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape, introduces the fundamental principles and distinctions between concurrency and parallelism in Java. It sets the stage for understanding how these concepts are critical in the development of modern cloud-native applications.
Chapter 2, Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond, explores the basics of Java concurrency, including threads and processes. This chapter provides a solid introduction to the building blocks of concurrent programming in Java.
Chapter 3, Mastering Parallelism in Java, delves into tools and frameworks that enhance Java’s parallel processing capabilities. You will learn how to leverage multi-core processors and distributed systems to improve performance.
Chapter 4, Java Concurrency Utilities and Testing in the Cloud Era, focuses on practical implementation strategies and testing for cloud-based applications. You will discover how to design, implement, and validate concurrent systems that can thrive in distributed environments.
Chapter 5, Mastering Concurrency Patterns in Cloud Computing, provides a toolkit of concurrency patterns for cloud environments. These patterns serve as essential solutions for common challenges in cloud-native Java applications.
Chapter 6, Java and Big Data – a Collaborative Odyssey, examines Java’s role in big data and its concurrency tools. You will learn how Java efficiently processes massive datasets through parallel and distributed computing.
Chapter 7, Concurrency in Java for Machine Learning, demonstrates how Java’s concurrency features accelerate machine learning. This chapter shows how to build scalable, high-performance machine learning applications using multi-threading and parallel processing.
Chapter 8, Microservices in the Cloud and Java’s Concurrency, explores Java’s concurrency capabilities in microservices architectures. You will understand the strategies for managing concurrent operations in distributed environments to create resilient, scalable microservices.
Chapter 9, Serverless Computing and Java’s Concurrent Capabilities, illustrates Java’s adaptation to serverless architectures. You will discover how to build scalable, cost-effective solutions for varying workloads using Java’s concurrency models.
Chapter 10, Synchronizing Java’s Concurrency with Cloud Auto-Scaling Dynamics, covers synchronization with cloud auto-scaling. You will learn how to build applications that seamlessly adapt to the elastic nature of cloud environments.
Chapter 11, Advanced Java Concurrency Practices in Cloud Computing, delves into advanced concurrency techniques for the cloud. This chapter covers cutting-edge techniques such as GPU acceleration and implementing robust redundancy mechanisms.
Chapter 12, The Horizon Ahead, looks at emerging trends and future innovations in cloud computing. You will explore serverless Java beyond function as a service, Java’s role in edge computing, and its integration with AI and machine learning in cloud ecosystems.
