Open strickvl opened 5 months ago
I'd like to take a stab at this, if that's alright.
Sure thing! Let me know if you have questions along the way. I'd recommend starting small (just artifact store to start with) and then slowly adding new components incrementally. You might also draw some inspiration from these non-modular recipes from the 'old' mlstacks: https://github.com/zenml-io/mlstacks/tree/main/azure-minimal and https://github.com/zenml-io/mlstacks/tree/main/azureml-minimal
Thanks for the suggestions!
While MLStacks currently supports GCP and AWS for stack deployments, there is a notable absence of support for Azure. Although the creation of remote state on Azure is facilitated through a Terraform registry module implemented by ZenML), comprehensive support for Azure stack deployments through modular Terraform recipes is missing. This task aims to bridge that gap by introducing Azure as a fully supported provider within MLStacks.
Task Description
The objective is to develop a series of Terraform modules for Azure, analogous to those available for AWS and GCP within MLStacks. This will enable users to deploy selective parts of their MLStacks on Azure. The task involves leveraging existing Terraform code (e.g., azure-minimal and azureml-minimal) and adapting it to the modular approach used in MLStacks. Full testing is required to ensure the Azure implementation's functionality and compatibility with MLStacks.
Expected Outcome
Steps to Implement
Additional Context
Expanding MLStacks to include Azure as a supported provider will significantly enhance the framework's versatility and appeal to users operating within the Azure ecosystem. This addition is a strategic move to ensure MLStacks remains a comprehensive and flexible solution for MLOps infrastructure deployment across all major cloud providers.
Code of Conduct