AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 96

Scripts APIs Government Analytics 96

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 123

Best practices Government Engineering Accountability 123

AWS Machine Learning

SEPTEMBER 9, 2022

When the message is received by the SQS queue, it triggers the AWS Lambda function to make an API call to the Amp catalog service. The Lambda function retrieves the desired show metadata, filters the metadata, and then sends the output metadata to Amazon Kinesis Data Streams. Data Engineer for Amp on Amazon.

Analytics 70

Analytics Engineering APIs Metrics 70

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 71

APIs Government Accountability Scripts 71

AWS Machine Learning

AUGUST 29, 2023

Refer to Operating model for best practices regarding a multi-account strategy for ML. When a new version of the model is registered in the model registry, it triggers a notification to the responsible data scientist via Amazon SNS. The central model registry could optionally be placed in a shared services account as well.

Scripts 74

Scripts APIs Enterprise Accountability 74

AWS Machine Learning

SEPTEMBER 9, 2022

Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. Each project maintained detailed documentation that outlined how each script was used to build the final model.

Engineering 76

Engineering Healthcare APIs Scripts 76