Amazon SageMaker is a managed service that helps you build, train, and deploy machine learning models. strongDM controls and audits access to clusters, databases, servers, and more and uses AWS Secrets Manager to reinforce the safe handling of secrets.
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To get started integrating AWS Secrets Manager into your Amazon SageMaker workflow, sign up for a free trial account on strongDM, then visit Configure AWS Secrets Manager as a Secret Store linked below.
To get started integrating AWS Secrets Manager into your Amazon SageMaker workflow, sign up for a free trial account on strongDM, then visit Configure AWS Secrets Manager as a Secret Store linked below.
The strongDM proxy fetches credentials from AWS Secrets Manager, reinforcing the safe handling of those secrets.
AWS Secrets Manager is an Amazon service that securely stores, rotates and retrieves database credentials, OAuth tokens, API keys and other secrets throughout their lifecycle. It has built-in integration for Amazon RDS, Amazon Redshift, and Amazon DocumentDB.
strongDM acts as a proxy to the user’s AWS API, logs and data storage, providing managed access to the backend services SageMaker requires.
Amazon SageMaker is a cloud-based platform that developers use to create, evaluate, tune, and deploy machine learning modules at any scale.
