1
Sign in and create a workspace
- Sign in to the Popsink console with your organization account.
- Create a new workspace or select an existing one. This workspace hosts the pipelines and credentials you configure.
2
Configure a source connector
- Open Connectors → Sources and click New Source.
- Select the connector that matches your system. For example, choose Postgres to capture database changes.
- Provide the required credentials and connection parameters.
- Validate the connection and save the source.
Review the connector guides to learn about network prerequisites or advanced settings specific to each technology.
Ensure you have workspace administrator rights (or equivalent) before creating and validating new connectors.
3
Configure a target connector
- Open Connectors → Targets and create a new target connector.
- Select the destination technology (for example BigQuery or Snowflake).
- Provide write credentials and define the storage location (dataset or schema) Popsink should use.
- Test the connection before saving the target.
4
Build your pipeline
- Go to a Target Connector and click Ingest Data.
- Select the source data models.
- Save and start the pipeline.
5
Validate the data flow
- Inspect the dashboard to confirm that events are processed and delivered.
- Check on the target system that tables or collections are updated as expected.
- Monitor alerts and metrics to maintain long-term performance.
Connection verification fails
Connection verification fails
Confirm that the required ports are open and that the supplied credentials have the expected read or write privileges. Compare against the recommended configuration in the connector documentation.
The pipeline stays pending after launch
The pipeline stays pending after launch
Make sure change data capture is enabled on the source and that quotas or limits on the target side are not exceeded. Review the related alerts to get incident details.