Rollback cluster changes

User16826990884
Databricks Employee
Databricks Employee

Is it possible to rollback changes made to a cluster? The problem I'm trying to solve is to recover from an accidental change made by a user on a cluster that affects interactive and job runs. Cluster policies help, but the policy still provides the user options within the cluster configs to make changes.

sajith_appukutt
Databricks Employee
Databricks Employee

You could look at automating cluster creation steps and implementing this with an infra-as-code solution like the databricks terraform provider which allows rollback

Panda
Valued Contributor

@User16826990884 

Along with what @sajith_appukutt mentioned, we can achive this via

Version Control for Cluster Configurations: Store cluster configurations in JSON files in GitHub or another version control system.In case of accidental changes, you can easily revert to the previous version of the configuration.