Machine Learning | Datadog

Automatically detect error and latency patterns with Datadog Trace Outliers

Learn how Trace Outliers can quickly pinpoint issues and reduce your MTTR.

Explore your data in full-screen graph mode

Dive into your dashboard graphs to explore historical context, apply machine learning algorithms, and more.

Auto-smooth noisy metrics to reveal trends

Datadog's new Auto Smoother function makes it simple to smooth out noisy metrics without losing sight of the ...

Watchdog: Auto-detect performance anomalies without setting alerts

Watchdog uses machine learning to sniff out potential performance problems without any setup or configuration.

Augmented troubleshooting with Watchdog Insights

Watchdog Insights surfaces clues and helps reduce MTTR—and now supports Log Management.

Automated root cause analysis with Watchdog RCA

Learn how Watchdog can automatically identify the root cause of performance issues across your stack.

Watchdog surfaces root cause insights and Kubernetes anomalies

Watchdog automatically helps with root cause analysis and detects Kubernetes anomalies.

Watchdog for Infra automatically detects infrastructure anomalies

Watchdog automatically detects anomalies in your infrastructure without any configuration.

Speed up your root cause analysis with Metric Correlations

If you identify a possible issue, Metric Correlations suggests which parts of your system are likely to be ...

Datadog APM gains 3 superpowers: App Analytics, Service Map & Watchdog

With three major new features and support for numerous languages and frameworks, Datadog APM is more powerful ...

Introducing metric forecasts for predictive monitoring in Datadog

Forecasts predict your metrics' future behavior, so you can specify how far in advance you want to get ...

3 scenarios where machine learning makes for smarter alerts

Watch these videos to learn how your apps and infrastructure can benefit from automated, algorithmic ...

Introducing new scaled algorithms for improved outlier detection

Our new outlier detection algorithms take magnitude and dispersion into account for better alerting.

Introducing anomaly detection in Datadog

Anomaly detection analyzes recent metric patterns to identify abnormalities.

Introducing outlier detection in Datadog

Datadog's new outlier detection feature allows you to automatically identify any host (or group of hosts) that ...