As of now, my current approach is to manually copy/paste YAMLs across workspaces and version them using Git/Azure DevOps by saving them as DBFS files. The CD process is then handled using Databricks DBFS File Deployment by Data Thirst Ltd.

While this works, I’m still looking for a more automated and scalable solution. Has anyone found a better way to manage Databricks workflow versioning and deployment in a CI/CD setup? Would love to hear your insights!