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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 quest for clarity – advanced profiling techniques

The vast landscapes of cloud-native applications, with their intricate networks of microservices, can pose challenges for traditional profiling methods. These methods often struggle to navigate the distributed nature and complex interactions within these environments. Enter advanced profiling techniques, acting as powerful tools to shed light on performance bottlenecks and optimize your cloud applications. Here are three powerful techniques to demystify your cloud journeys:

  • Distributed tracing – illuminating the request journey: Think of distributed tracing as charting the stars. While traditional profiling shines a light on individual nodes, tracing follows requests as they hop between microservices, revealing hidden latency bottlenecks and intricate service interactions. Imagine the following:
    • Pinpointing slow service calls: Identify which service is causing delays and focus optimization efforts
    • Visualizing...

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