Amazon SageMaker Unified Studio now offers CI/CD CLI for data and AI applications

Amazon SageMaker Unified Studio now offers the CI/CD CLI (aws-smus-cicd-cli), an open-source command line tool that automates deployment of multi-service data and AI applications across development, test, and production. Organizations building applications in SageMaker Unified Studio combine multiple AWS services, including AWS Glue, Amazon Athena, Amazon MWAA, Amazon SageMaker AI, Amazon Bedrock, and Amazon QuickSight, into single applications. The CLI allows data teams to define applications once in a YAML manifest while DevOps teams deploy with a single command, reducing deployment bottlenecks and configuration drift.

The CLI reads a declarative manifest.yaml that maps each pipeline stage to an isolated SageMaker Unified Studio project. At deploy time, it substitutes stage-specific configurations (S3 paths, IAM roles, account IDs, and connection strings) and provisions resources in dependency order. Four commands cover the lifecycle: describe validates permissions and connections, bundle packages an immutable artifact from the source target, deploy writes that artifact to the destination target, and test runs post-deployment validation. It works with existing CI/CD solutions such as GitHub Actions, Jenkins, and GitLab CI.

The CI/CD CLI is available at no additional cost in all AWS Regions where Amazon SageMaker Unified Studio is available. You pay only for the underlying AWS resources provisioned during deployment.

To get started, visit the following resources:

The CI/CD CLI is available at no additional cost in all AWS Regions where Amazon SageMaker Unified Studio is available. You pay only for the underlying AWS resources provisioned during deployment.

To get started, visit the following resources:

• Install from PyPI 
• GitHub repository
• Amazon SageMaker Unified Studio documentation

Categories: marketing:marchitecture/analytics,general:products/amazon-sagemaker-studio

Source: Amazon Web Services

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