We have deployed containerised version of Meltano to production using GCP Cloud Run and it works like a charm. We currently have system database setup and two pipelines running. However, we need to make few changes in meltano.yml, rebuild the docker image and deploy a new version. How do we retain current state (data bookmarks, progress etc) of both pipelines while doing this?

@sujit If you’re using an external persistent Postgres system database, all metadata and state should survive the image rebuild and deployment