Learn how to optimize JVM and JIT compiler performance for better execution speed, memory usage, and resource utilization in your Java applications—and how to check your results.

Excessive object creation can be a huge problem in Java programs. Despite continuing improvements in JVM technology for memory management, the object creation and garbage collection cycle is still ...

In this Java performance tuning guide, learn how to put together an application performance manifesto and how to investigate shared resources that might cause a Java performance problem.

Java marks another milestone in the evolution of one of the world’s most widely used programming languages. With groundbreaking enhancements in memory management, AI integration, and post-quantum ...

AppDynamics is one of a large number of application performance management (APM) competitors. AppDynamics' Director of Engineering and VP of marketing talk with Virtually Speaking's Dan Kusnetzky ...

Java performance has greatly improved over the years, but getting true, linear scalability has always been a problem, largely due to the way data collections are handled in memory. However, new ...

Secondly, Java uses automated memory management and as such implements a garbage collector (GC).

AppDynamics just introduced version 3.0 of its application performance management product that is designed to seek out these issues in a distributed java-based environment.

Oracle is releasing Java 20, the latest version of the programming language and development platform, delivering thousands of performance, stability, and security improvements, including platform ...