Java Performance Monitoring & Tracing | Datadog

Java Performance Monitoring & Tracing

Monitor Java application traces, metrics and logs with Datadog.

Java performance monitoring gives you real-time visibility into your Java applications to quickly respond to issues and minimize downtime. Datadog allows you to pivot seamlessly between your metrics, traces, and logs across your entire stack to ensure your applications are always optimized.

 

Modern monitoring and tracing for Java applications

  • Track, optimize, and alert on Java performance issues to meet important SLAs and SLOs
  • Pinpoint Java application dependencies with the automatically generated Service Map
  • Monitor Java at the service, endpoint, and customer-level with Trace Search and Analytics

Intelligent Java alerting and debugging

  • Set up actionable alerts for uptime, thresholds, outliers, anomalies, and more
  • Combine trigger conditions to create composite Java alerting that reduces alert fatigue
  • Add context to Java alert notification emails and messages from collaboration tools like Slack and Pagerduty

Built-in support for Java frameworks

  • Instrument apps for popular Java frameworks like Spring Boot and Dropwizard automatically
  • Identify slow performing Java queries for databases like MongoDB or Cassandra
  • Monitor Java metrics alongside data from 700+ other turnkey integrations
Datadog programming language and framework support integration tiles

The Essential Monitoring and Security Platform for the Cloud Age

Datadog brings together end-to-end traces, metrics, and logs to make your applications, infrastructure, and third-party services entirely observable.

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Analyze Java metrics and stack traces in context

Leverage Datadog APM to monitor and troubleshoot Java performance issues.

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Watchdog

Auto-detect and surface performance problems without manual Java alert configuration.

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App Analytics

Search, filter, and analyze Java stack traces at infinite cardinality.

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Service Map

Map Java applications and their supporting architecture in real-time.

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