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  • Book Overview & Buying High Performance with Java
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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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1
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

Garbage collection

We have already established that memory management is important when our goal is to have our Java applications perform at a high level. We also looked at how garbage completion works and what its benefits are.

Garbage collection implications

The automatic nature of Java’s garbage collection results in many developers ignoring it. They take garbage collection for granted and do not implement any best practices. This is okay for small projects that are not data- or memory-intensive. Let’s look at two ways that garbage collection can impact our applications and memory management:

  • Application pauses: Frequent garbage collection cycles can result in our application pausing. The type of garbage collection and heap size are key determiners for the length of these pauses.
  • Memory overhead: Garbage collection increases memory overhead. CPU cycles and memory resources are impacted each time garbage collection runs.

There are several approaches...

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High Performance with Java
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