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High Performance with Java

High Performance with Java

By : Dr. Edward Lavieri Jr.
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High Performance with Java

High Performance with Java

By: Dr. Edward Lavieri Jr.

Overview of this book

Building high performance into your applications is key to creating an optimal user experience, although it is not the only consideration for the performant nature of your apps. High performance applications can lead to cost-effective resource utilization, especially when scalability and cloud computing are involved. They can also provide highly reliable systems that are easier to maintain. High Performance with Java begins by helping you explore the Java Virtual Machine (JVM) and understand how to push it to its limits to further optimize your programs. You’ll take a hands-on approach to go through memory optimization strategies, input/output operations, concurrency, networking, as well as frameworks and libraries focused on performance. You’ll also learn key strategies and best practices by using industry-relevant examples to architect scalable and resource-efficient applications. The concluding chapters provide valuable insights on optimizing your Java code when interacting with databases and show you how to leverage artificial intelligence (AI) for high performance Java applications. By the end of this book, you’ll grasp the importance of developing high performance Java applications and gain practical experience in implementing key strategies to help ensure your Java applications perform optimally.
Table of Contents (26 chapters)
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Part 1: Code Optimization
7
Part 2: Memory Optimization and I/O Operations
11
Part 3: Concurrency and Networking
15
Part 4: Frameworks, Libraries, and Profiling
19
Part 5: Advanced Topics

Introduction to AI in Java

Software developers at all levels of experience have embraced AI as part of their workflows. AI-related tools and techniques can significantly enhance our ability to develop high-performing Java applications. There are two aspects for us to consider. First, we can use AI tools to help us develop, test, and enhance our code. Secondly, we can incorporate AI into our applications to introduce innovation and enhance functionality.

In this section, we will look at AI’s relevance to high-performing Java applications, current trends in AI for Java, and future directions for AI.

AI’s relevance to high-performance Java applications

The power of AI technologies is undeniable. With ML, a subset of AI, we can train models to make advanced predictions, analyze data, and automate complex tasks. Java developers can leverage these capabilities to improve their development, testing, and maintenance of Java projects.

Here are four key methods by which...

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