Connect Pagerduty to Data Studio
Send Pagerduty users, incidents, incident logs and 3 more data types to Data Studio on a schedule. Refresh as often as every 15 minutes.
How to connect Pagerduty and Data Studio
4 steps. You can preview the Pagerduty data in Coupler.io before anything reaches Data Studio.
Step 1 of 4
Connect Pagerduty
Enter your Pagerduty API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Pagerduty data you want in Data Studio.
Step 3 of 4
Connect Data Studio
Click Generate Data Source and authorize Data Studio and Coupler.io with the same Google account. After the first run, open the report and add your Pagerduty fields.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in Data Studio. Run it as often as every 15 minutes.
Each run overwrites the data set with a fresh snapshot of Pagerduty data.
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Build your Pagerduty integrations with these destinations
Get the most of Pagerduty to Data Studio integration
Gather data
Understand data
Automate data
Act on data
6 data types, including Users, Incidents, Incident logs, Teams and Services.
With your Pagerduty API key, entered once when you add the connection.
Through the Coupler.io community connector. Authorize Coupler.io and Data Studio with the same Google account, then add the Pagerduty data source to a report.
Coupler.io and Data Studio refresh separately, and Data Studio refreshes data sources every 12 hours by default. Lower its data freshness setting if you refresh Pagerduty more often.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example 100ms or Amazon Seller Central, and join or append them before the data reaches Data Studio.