Hey everyone! 😍
I can totally relate to the frustration of encountering authentication issues when setting up a CI/CD pipeline. It's great that you're able to import the notebooks locally, but facing difficulties on Azure DevOps can be quite puzzling.
From what you've described, it seems like there might be an issue with the authentication setup in your Azure DevOps environment. Here are a few suggestions to help you troubleshoot:
First, double-check that you have created a Databricks access token in Azure DevOps and that it has the necessary permissions for the import operation. Permissions can sometimes be a tricky thing, so it's worth confirming.
Next, ensure that you're passing the access token correctly to Databricks in your import command. The --token flag or the DATABRICKS_TOKEN environment variable should be set properly.
It's also important to verify that the Databricks workspace URL you're using in your import command matches the one you're using locally. Inconsistent URLs can lead to authentication failures.
Additionally, review your network settings to make sure there are no firewall rules blocking traffic between Azure DevOps and the Databricks workspace. This step is often overlooked but can cause issues.
If you're still encountering problems, enabling debug logging in your import command might provide more insights. The --debug flag can be handy for this purpose.
So, If you are a devops enthusiast like me, it will be useful to keep an eye on new technologies! In my opinion, a very trending and informative article about the role of AI in devops technology: AI in DevOps: Unleashing the Power for Exceptional Software Results. I'm sure it will open your eyes to a lot.