Rundeck
Business software
Sync Rundeck job, execution, project, and node data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.
The Rundeck connector syncs your job scheduling and runbook automation data into analytics-ready tables in your data warehouse. Pull jobs, executions, projects, and nodes from the Rundeck API, with Ingest handling auth, pagination, and retries so the tables stay current.
What you would get
Each of these arrives as its own table, kept current on the schedule you choose:
- Jobs
- Executions
- Projects
- Nodes
How it gets built
- Choose Rundeck when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads Rundeck's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against Rundeck itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
API token (X-Rundeck-Auth-Token header, or authtoken URL param). Generate a token from your User Profile page in the Rundeck GUI.
You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.
Questions
- Does Ingest have a Rundeck connector?
- Not as a finished connector yet. Ingest builds it from Rundeck's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can Rundeck data go to?
- Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
- Do I need to write code?
- No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.
Rundeck API documentation: https://docs.rundeck.com/docs/api/
Where this would land, and what else connects
Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.
Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.