Metrics | Datadog

Unlock advanced query functionality with distribution metrics

Learn how Datadog distribution metrics summarize your data by providing globally accurate percentiles across ...

Timeseries indexing at scale

Learn how we implemented a new timeseries indexing strategy when the amount of data we ingested increased ...

How we built the Datadog heatmap to visualize distributions over time at arbitrary scale

Learn how we used DDSketch to enhance our heatmap visualizations, allowing us to represent and analyze high ...

Machine learning model monitoring: Best practices

Learn about key metrics and best practices for monitoring the functional performance of ML models to spot ...

A closer look at our navigation redesign

Learn more about our new redesign, including enhancements made to the navigability and readability of our ...

Dynamically control your custom metrics volume with Metrics without Limits™

Learn how Metrics without Limits™ enables you to collect the full range of your business-critical custom ...

Introducing wildcard-filtered metric queries

Gain more control over your querying scope with dynamic wildcard filters.

Expand your Sleuth monitoring reach with Datadog

Learn how Datadog gives you deeper insight into your Sleuth-tracked code deployments.

Introducing Boolean-filtered metric queries

Boolean operators enable you write more concise, expressive metric queries.

Datadog API client libraries now available for Java and Go

Use our API client libraries to programmatically collect, search, and update your monitoring data.

Monitor Sidekiq with Datadog

Learn how Datadog can help you track the health and performance of your Sidekiq jobs with key metrics, logs, ...

Monitor your customer data infrastructure with Segment and Datadog

Learn how Segment's API helps users track the health and performance of their event delivery pipelines.