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Rethinking UX for AI-driven Alerting
The introduction of advanced statistical methods is reshaping the UX of alerts
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 ...
Robust Statistical Distances for Machine Learning
Designing powerful outlier and anomaly detection algorithms requires using the right tools. Discover how ...
Piecewise regression: when one line simply isn’t enough
A piecewise regression can model multiple trends in a single data set. Learn how Datadog automates piecewise ...
Introducing new scaled algorithms for improved outlier detection
Our new outlier detection algorithms take magnitude and dispersion into account for better alerting.
Visualizing trends with regression lines
When you care more about how a metric is trending over time and less about its exact value at every instant, ...
Outlier detection in Datadog: A look at the algorithms
Technical details behind the implementation of the DBSCAN and MAD algorithms for automated outlier detection ...
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