Visualizing AWS Step Functions workflows from the Amazon Athena console

By Dustin Ward

AWS FeedVisualizing AWS Step Functions workflows from the Amazon Athena console This post is written by Dhiraj Mahapatro, Senior Specialist SA, Serverless. In October 2021, AWS announced visualizing AWS Step Functions from the AWS Batch console. Now you can also visualize Step Functions from the Amazon Athena console. Amazon Athena is an interactive query service…

AWS Cloud Adoption Framework (CAF) 3.0 is Now Available

By Dustin Ward

AWS FeedAWS Cloud Adoption Framework (CAF) 3.0 is Now Available The AWS Cloud Adoption Framework (AWS CAF) is designed to help you to build and then execute a comprehensive plan for your digital transformation. Taking advantage of AWS best practices and lessons learned from thousands of customer engagements, the AWS CAF will help you to…

Managing the Evolution of an Amazon Redshift Data Warehouse Using a Declarative Deployment Pipeline

By Dustin Ward

AWS FeedManaging the Evolution of an Amazon Redshift Data Warehouse Using a Declarative Deployment Pipeline By Sean Beath, Manager, Strategy, AI & Transformation – Deloitte AustraliaBy Athar Shah, Director, Strategy, AI & Transformation – Deloitte AustraliaBy Greg Webber, APJC Solutions Architecture Manager (Deloitte) – AWS AustraliaBy Special thanks to Rick Fraser and Avnish Jain, Analytics…

Offset lag metric for Amazon MSK as an event source for Lambda

By Dustin Ward

AWS FeedOffset lag metric for Amazon MSK as an event source for Lambda This post written by Adam Wagner, Principal Serverless Solutions Architect. Last year, AWS announced support for Amazon Managed Streaming for Apache Kafka (MSK) and self-managed Apache Kafka clusters as event sources for AWS Lambda. Today, AWS adds a new OffsetLag metric to…

Bring Your Amazon SageMaker model into Amazon Redshift for remote inference

By Dustin Ward

AWS FeedBring Your Amazon SageMaker model into Amazon Redshift for remote inference Amazon Redshift, a fast, fully managed, widely used cloud data warehouse, natively integrates with Amazon SageMaker for machine learning (ML). Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Data analysts and…