Best Practices Streaming Google Professional Data Engineer GCP

Using composable transforms having business logic creates pipelines to easily maintain, troubleshoot and develop with.
Ensure they have a clear owner
Have a clear way to understand and document how changes to those transforms will affect all pipelines that use them.
Always use the name field to assign a useful, at-a-glance name to the transform.
Ensure that all transforms have versions and that all pipelines also have versions.
Ensure you have a consistent policy to deal with errors and issues across all of transforms.
End-to-end data pipeline testing should include lifecycle testing, particularly analyzing and testing all the different update/drain/cancel options.
In addition to the standard metrics, build custom metrics into pipeline as per
Create backups of pipelines
Create multiple replica pipelines