AWS SageMaker - Paradime

AWS SageMaker is a fully managed service to build, train, and deploy machine learning models; SageMaker Pipelines orchestrate ML workflows. Trigger it from a Paradime Bolt schedule with the Paradime CLI, so it runs as part of your pipeline.

What you can do

Trigger one or more SageMaker pipelines by name

Prerequisites

An IAM user or role with permission to start pipeline executions (sagemaker:StartPipelineExecution).

Set up

Paradime authenticates to AWS with your IAM credentials. Set them as Bolt schedule environment variables:

Variable	Required	Description
`AWS_ACCESS_KEY_ID`	Required	Access key ID for an IAM user or role.
`AWS_SECRET_ACCESS_KEY`	Required	Secret access key for the IAM user or role.
`AWS_REGION`	Required	AWS region your resources are in (for example, `us-east-1`).
`AWS_SESSION_TOKEN`	Optional	Session token, only for temporary credentials.

Trigger from Bolt

Add the Run AWS SageMaker Pipeline command to a schedule. For the full command reference, flags, and examples, see the AWS SageMaker CLI.