Automated monitoring of your machine learning models with Amazon SageMaker Model Monitor and sending predictions to human review workflows using Amazon A2I

By Dustin Ward

Amazon Web Services FeedAutomated monitoring of your machine learning models with Amazon SageMaker Model Monitor and sending predictions to human review workflows using Amazon A2I When machine learning (ML) is deployed in production, monitoring the model is important for maintaining the quality of predictions. Although the statistical properties of the training data are known in…

Field Notes: Requirements for Successfully Installing CloudEndure

By Dustin Ward

Amazon Web Services FeedField Notes: Requirements for Successfully Installing CloudEndure Customers have been using CloudEndure for their Migration and Disaster Recovery needs for many years. In 2019, CloudEndure was acquired by AWS, and provided the licensing for CloudEndure to all of their users free of charge for migration. During this time, AWS has identified the…

Announcing Data API for Amazon Redshift

By Dustin Ward

Amazon Web Services FeedAnnouncing Data API for Amazon Redshift Amazon Redshift can now be accessed using the built-in Data API, making it easy to build web-services based applications and integrating with services, including AWS Lambda, AWS AppSync, and AWS Cloud9. Redshift Data API simplifies data access, ingest, and egress from languages supported with AWS SDK…

Visualizing TensorFlow training jobs with TensorBoard

By Dustin Ward

Amazon Web Services FeedVisualizing TensorFlow training jobs with TensorBoard TensorBoard is an open-source toolkit for TensorFlow users that allows you to visualize a wide range of useful information about your model, from model graphs; to loss, accuracy, or custom metrics; to embedding projections, images, and histograms of weights and biases. This post demonstrates how to…

Enhanced monitoring and automatic scaling for Apache Flink

By Dustin Ward

Amazon Web Services FeedEnhanced monitoring and automatic scaling for Apache Flink Thousands of developers use Apache Flink to build streaming applications to transform and analyze data in real time. Apache Flink is an open-source framework and engine for processing data streams. It’s highly available and scalable, delivering high throughput and low latency for the most…