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Monitoring StatsD with New Relic Infrastructure

StatsD is a lightweight Node.js application built and open sourced by the engineering team at Etsy. It works by listening for metrics from different applications, aggregating them, and sending them onward to a configured backend. You can add more backends to send the aggregated and summarized metrics to third-party systems, including New Relic Infrastructure. But if you’re capturing hundreds of metrics via StatsD, how do you properly visualize and alert on them? We can help.

What you can use to monitor StatsD with our integration


The absolute value of an increasing number—e.g., the number of shopping cart checkouts.




The number of times something happened—e.g., the amount of 3rd-party API calls. StatsD also automatically tracks the rate.


The number of occurrences of an event—e.g., the number of unique visitors on your website.


Typically used to track response times. StatsD will keep all timing sample points and send aggregate metrics when the data is flushed.

You need to know what’s happening in your StatsD services

We give you a central place to track, trend, and manage your StatsD metrics. Once you have everything installed and configured, you can visualize your data, create queries and custom charts, and set up alert conditions to help you stay on top of your performance.

See your StatsD metrics in pre-built dashboards

Easily visualize your data, correlate performance, and customize your dashboards for your team’s specific priorities.


Default ElasticSearch dashboards

Know immediately when your performance is degrading

Set up and receive alerts for any of the metrics captured, so you can stay on top of your StatsD performance.

StatsD alerting

Track all StatsD configuration changes

Get an overview of your StatsD configuration, identify inconsistencies, and quantify how changes are impacting performance.

StatsD Inventory Data Tracking

Ready to get started?

Install the integration now and get a clear picture of your StatsD performance.


Activate the StatsD integration Request demo