Warehouse Sync Metrics

Loading event data into a data warehouse is one of the most common use cases for data teams running RudderStack. A majority of the time sync jobs run without issues, but factors like significant spikes in volume, corrupted data, and other issues out of the data team’s control can make sync jobs run longer than normal. This latency can impact scheduled jobs, reporting, and other use cases for consumers of the data.

Previously, troubleshooting potential latency problems required manually scrolling through a list of sync jobs. Not only was that time consuming, but there was no way to see trends over time.

With warehouse sync metrics, you can see max sync duration over multiple time windows (2 hours, 1 day, 7 days, and 30 days), and see the duration of each individual sync job within the selected window.

With these observability tools, you can more quickly isolate potential problems with data delivery and understand how changes in your data might impact load performance over time.

See our Event Metrics documentation for more information on this feature.

Screenshots

Questions? Contact us by email or on Slack