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Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

AWS Machine Learning

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

APIs 81
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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure.

APIs 123
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Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

AWS Machine Learning

You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. Customers are increasingly adopting multi-account architectures for deploying and managing machine learning (ML) workflows with SageMaker Pipelines.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

It allows you to seamlessly customize your RAG prompts and retrieval strategies—we provide the source attribution, and we handle memory management automatically. RAG is a popular technique that combines the use of private data with large language models (LLMs). Choose Next. Choose Next.

APIs 111
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Team and user management with Amazon SageMaker and AWS SSO

AWS Machine Learning

Each onboarded user in Studio has their own dedicated set of resources, such as compute instances, a home directory on an Amazon Elastic File System (Amazon EFS) volume, and a dedicated AWS Identity and Access Management (IAM) execution role. Organizations manage their users in AWS SSO instead of the SageMaker domain.

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3scale and Pivotal® Announce Self-serve API Management Solution Via Pivotal Web Services (PWS) Platform

Natalie Petouhof

Tweet Managing your API’s has become a very complicated endeavor. If your role to is manage API’s it’s important to figure out how to automate that process. Reducing the effort required to manage API’s can be keep to using resources in other ways that are not as easily automated.

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Secure Amazon SageMaker Studio presigned URLs Part 1: Foundational infrastructure

AWS Machine Learning

You can access Amazon SageMaker Studio notebooks from the Amazon SageMaker console via AWS Identity and Access Management (IAM) authenticated federation from your identity provider (IdP), such as Okta. The corporate portal application makes a private API call using an API Gateway VPC endpoint to create a presigned URL.

APIs 79