Datadog Predictive Monitoring

Forecast Critical Business Metrics

Anticipate how critical business metrics are likely to change over time with algorithms that account for daily, weekly, and seasonal fluctuations
Ensure that metric predictions accurately adapt to baseline shifts with Datadog’s ability to automatically factor in most recent behavior
Address performance issues more proactively with alerts on any metric forecast or specific data point threshold

Monitor performance across your entire stack in real time and easily pull in custom metrics, such as order quantities and revenue totals, via API or a StatsD handler
Improve preparedness for seasonal events with the ability to visualize high-granularity, historical metrics automatically stored for 15 months
Break down information silos with shareable screen boards and custom, drag-and-drop dashboards

Uncover performance problems before they affect your customers with machine-learning powered alerting, uptime checks, and self-maintaining browser tests
Discover front-end issues such as Javascript or network errors instantly
Resolve detected problems faster with infrastructure metrics, distributed request traces, real-time service maps, and logs all within one platform

Proactively prevent outages and errors by alerting on metric forecasts or specific data point thresholds
Set up alerts for anomalies and outliers that account for daily, weekly, and seasonal fluctuations
Automatically detect unanticipated outliers, anomalies, and errors with machine-learning powered monitors
Track all your key service-level indicator metrics in real time, including availability, response times, reliability, error rates, and throughput
Receive notifications for only the issues that matter and eliminate false-positives with AI-powered alerts and composite monitors