Fully featured low overhead profiler for Java EE and Java SE platforms.
Easy-to-use performance and memory .NET profiler for Windows, Linux and macOS.
Secure and easy profiling in cloud, containers and clustered environments.
Performance monitoring and profiling of Jenkins, Bamboo, TeamCity, Gradle, Maven, Ant and JUnit.

Allocation hot spots by object size

The Allocation hot spots by object size view focuses on identifying the Java methods that allocated the most amount of memory (in bytes) during program execution. These methods, referred to as allocation hot spots, are often the root causes of performance issues and are critical to address for improving overall application performance.

The excessive creation of objects in a Java application can significantly impact performance by increasing memory consumption and triggering more frequent garbage collection events. Each object allocation incurs memory overhead and potentially results in longer execution times as the garbage collector works to reclaim memory from unused objects. This can lead to increased CPU usage, longer response times, and even application slowdowns, making efficient object management a critical consideration for maintaining optimal Java application performance.

By pinpointing allocation hot spots, you can focus your optimization efforts on the areas that have the most impact on improving the overall performance and efficiency of your Java application.

Allocation hot spots by object size

YourKit uses cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content, to analyze our website traffic, and to understand where our visitors are coming from.

By browsing our website, you consent to our use of cookies and other tracking technologies in accordance with the Privacy Policy.