Machine Learning | Datadog

Understand the scope of user impact with Watchdog Impact Analysis

See how many users are affected by service performance issues so that you can troubleshoot more effectively.

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 detects Kubernetes anomalies and surfaces root causes

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 ...

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.

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 ...

Robust Statistical Distances for Machine Learning

Designing powerful outlier and anomaly detection algorithms requires using the right tools. Discover how ...