PagerDuty connector

Beta

This feature is in Beta. To use it, a workspace admin must turn on Lakeflow Connect for PagerDuty from the Previews page. See Manage Databricks previews.

The managed PagerDuty connector in Lakeflow Connect ingests incident, on-call, service, and audit data from PagerDuty into Databricks.

Feature availability

Feature	Availability
UI-based pipeline authoring	Supported
API-based pipeline authoring	Supported
Declarative Automation Bundles	Supported
Incremental ingestion	Supported
Unity Catalog governance	Supported
Orchestration using Databricks Workflows	Supported
API-based column selection and deselection	Supported
API-based row filtering	Not supported
SCD Type 2	Supported
Automated schema evolution: New and deleted columns	Supported
Automated schema evolution: Data type changes	Not supported
Automated schema evolution: Column renames	Not supported Requires a full refresh.

Feature	Availability
UI-based pipeline authoring	Supported
API-based pipeline authoring	Supported
Declarative Automation Bundles	Supported
Incremental ingestion	Supported
Unity Catalog governance	Supported
Orchestration using Databricks Workflows	Supported
API-based column selection and deselection	Supported
API-based row filtering	Not supported
SCD Type 2	Supported
Automated schema evolution: New and deleted columns	Supported
Automated schema evolution: Data type changes	Not supported
Automated schema evolution: Column renames	Not supported Requires a full refresh.

Authentication methods

Authentication method	Availability
OAuth U2M	Not supported
OAuth M2M	Supported
Basic authentication (username/password)	Not supported

Authentication method	Availability
OAuth U2M	Not supported
OAuth M2M	Supported
Basic authentication (username/password)	Not supported

Ingest from PagerDuty in 3 steps

note

Before starting, review the Databricks user persona, supported interfaces, ingestion frequency, and common patterns.

1. Configure PagerDuty for ingestion (Admins): Set up PagerDuty to authenticate with Databricks.
2. Create a Unity Catalog connection (Admins): Create a connection in Catalog Explorer to store credentials for Databricks to authenticate with PagerDuty.
3. Create an ingestion pipeline (Admins or non-admins): Select any supported interface and create a pipeline from an existing connection.