Implement Operational Patterns

There are workflows and motions essential to the successful operations of a data science environment. Early in a data science team’s journey, the fundamentals may include establishing good practices around version control.

As teams mature, they may develop or or adopt operational workflows including working with dev-test-prod environments, deploying with CI/CD, auditing and monitoring, and other DevOps functions.

The articles below offer guidance in learning and adopting these common operational workflows that are typically present in enterprise environments.

Adopting operations in your development environment

Operational patterns in deployment

Auditing and Monitoring deployed content

Back to top