Sample ReportsΒΆ

The ML Provisioner generates two HTML reports per deployment:

  • Review report β€” generated by create-review-report before deployment. Shows the full list of AWS resources that will be created, IAM roles and policies, SSM parameter paths, and configuration summary. Use this for stakeholder sign-off before deploying to production.

  • Post-deployment report β€” generated by deploy-product after a successful deployment. Shows CloudFormation stack outputs and all SSM parameter paths populated.

Sample reports are shown below for each tier.


Starter TierΒΆ

Scenario: techcorp β€” codecommit β€” foundation MLOps platform, no VPC integration.

Pre-Deployment Review ReportΒΆ

Post-Deployment ReportΒΆ


Professional TierΒΆ

Scenario: edge β€” codecommit β€” production-ready MLOps platform with monitoring, event-driven automation, and additional policies.

Pre-Deployment Review ReportΒΆ

Post-Deployment ReportΒΆ


Enterprise TierΒΆ

Scenario: globalbank β€” codecommit + standalone + ssm β€” full enterprise feature set with VPC integration, KMS encryption, compliance monitoring, and permission boundaries.

Pre-Deployment Review ReportΒΆ

Post-Deployment ReportΒΆ