Skip to main content



We’re currently making rapid changes to the product so our docs may be out of date. If you need help, please email

Time series data

We track point-in-time data by sending data points to Datadog using Statdsd.

Currently, we run a daily metric fetching job in fetch.rake which is called via the Heroku scheduler. If we wanted to do other frequencies like hourly, etc. we could add similar tasks.

The rake task calls Metrics::RecordDailyUsageWorker.perform_async, which performs algorithms to come up with data points to send, for example:

DataDogStatsClient.count("users.active_days_past_week", one_day_users, tags: { resource: "users", group: "new_users, day_count: 1 })

If you want to create a new periodic data send, follow this pattern to do so.


While we currently are not vendor-agnostic in how we do this (Heroku/Datadog), it is set up in a way that could become so in the future. The main pattern is Every x minutes/hours/etc. send aggregate data to warehouse where it can be examined on a timeseries basis. This could, in the future, be bundled right into the platform using an open source timeseries database and data visualization.

Once in Datadog, dashboards can created using

Datadog metrics