Computational and Data Science Ph.D student, Dongyu Liu, presents an overview of the open source Terraform framework. This system is a fascinating approach toward machine learning workflows, deployment, and provisioning of ML systems on both local and cloud resources.
This seminar introduces Infrastructure as Code (IaC) and discusses its relevance to data science research. Using Terraform as an example, the talk demonstrates how computing environments and machine learning workflows can be defined and deployed programmatically in the cloud.
The presentation focuses on how IaC can improve reproducibility, support collaborative research, and simplify experiment management. A short demo will illustrate how data science environments and computational workflows can be set up and reproduced using a Terraform-based setup.
Watch the seminar here.