Java Application Monitoring

Java monitoring gives you real-time visibility into your Java stack, allowing you to quickly respond to issues in your JVM, optimize inefficiencies, and minimize downtime. You can also continuously profile your Java code and pivot seamlessly between request traces and all other telemetry to ensure your Java applications are highly performant.

Deep insights into JVM Performance

Resolve bottlenecks in the JVM by correlating service performance with Java runtime metrics, such as heap/non-heap usage and garbage collection time
Find the root cause of changes to thread count, GC new/old generation size, and the number of Java classes loaded
Collect JMX metrics locally in the JVM without opening a remote connection and monitor metrics from services such as Kafka, Tomcat, and ActiveMQ

Support for all common Java frameworks

see our docs

Code-level Java application monitoring for any environment

Reduce time spent on parked threads or garbage collection pauses with code profiling data for every request and method
Fix CPU, memory, lock, or I/O inefficiencies in production with minimal overhead and without having to reproduce them in other environments
Measure and compare the impact of every line of Java code that you deploy on latency and resource consumption

Code-level Java monitoring for any environment

Resources

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How to collect, customize, and standardize Java logs

best practices

log management

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Java runtime monitoring with JVM metrics in Datadog APM

feature

APM

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Monitor Java memory management with runtime metrics, APM, and logs

best practices

APM

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Analyze code performance in production with Datadog Continuous Profiler

feature

code profiling

Java performance insights with
minimal engineering effort

Leverage Datadog’s out-of-the-box visualizations, automated code analysis, and actionable insights to monitor your Java code and resolve issues such as deadlocked threads, application halts, and spikes in the number of heap dumps or thrown exceptions.