Discover the best tools for profiling Java applications and improving their performance. Learn how JProfiler, VisualVM, YourKit, and others can help optimize memory usage, CPU consumption, and response times.
Learn about the Fork/Join framework in Java, its advantages for parallel programming, and how it improves performance in multi-core processors with practical code examples.
Discover the latest trends in collection usage in modern Java applications, focusing on the improvements and optimizations introduced in recent Java versions. Learn how new features like Streams, functional programming, and immutable collections are reshaping how collections are handled in Java.
Learn about the most effective tools and techniques to profile collections during unit tests in Java. Discover how to optimize performance using profiling tools, measure resource usage, and improve code efficiency.
Discover how Java collections interact with garbage collection. Understand their impact on memory management and learn best practices with code examples to optimize your application’s performance.
In this guide, we’ll explore the best practices for using collections in large Java applications, from choosing the right collection types to optimizing performance. Learn how to handle common pitfalls, manage memory effectively, and write scalable code.
Learn about the performance implications of using parallel streams in Java. This article explores the benefits, drawbacks, and practical considerations when working with parallel streams to enhance application performance.
A parallel stream in Java can significantly improve performance when processing large data sets by utilizing multiple threads. Learn what a parallel stream is, how it works, and when it’s the right choice to optimize your Java code with practical examples.