AWS News Blog

Micah Walter

Author: Micah Walter

Micah Walter is a Sr. Solutions Architect supporting enterprise customers in the New York City region and beyond. He advises executives, engineers, and architects at every step along their journey to the cloud, with a deep focus on sustainability and practical design. In his free time, Micah enjoys the outdoors, photography, and chasing his kids around the house.

AWS Weekly Roundup

AWS Weekly Roundup: Price reduction of GPT models in Bedrock, CloudWatch managed collectors for Prometheus metrics, and more (August 3, 2026)

Last week I had the joy of participating in Amazon’s “Bring Your Kids to Work Day” with my 7 year old son. We commuted together into the New York City office, his first real rush hour train ride, and spent the day exploring how Amazon uses AI, machine learning, and robotics to deliver packages to […]

AWS Weekly Roundup

AWS Weekly Roundup: Agentic CX designer for Amazon Connect Customer, EC2 AMI Watermarks, Open Governance for MySQL, and more (June 29, 2026)

It has been a busy stretch on the AWS Summit circuit. At the New York City Summit, I delivered a workshop called Building AI architectures with AWS Serverless, and it was a lot of fun watching builders wire up agents and serverless services to solve real problems in a single afternoon. This week I am […]

AWS Weekly Roundup: Claude Opus 4.8 on AWS, Aurora MySQL with Kiro Powers, and more (June 1, 2026)

In my last Week in Review post, I shared what I’d been hearing from customers in the AI-Driven Development Lifecycle (AI-DLC) workshops I’ve been delivering. Last week I was back at it, this time in Denver for a two-day AI-DLC workshop, where I helped facilitate 17 teams to deliver nearly 20 separate use cases in […]

AWS Weekly Roundup

AWS Weekly Roundup: Claude Mythos Preview in Amazon Bedrock, AWS Agent Registry, and more (April 13, 2026)

In my last Week in Review post, I mentioned how much time I’ve been spending on AI-Driven Development Lifecycle (AI-DLC) workshops with customers this year. A common theme in those sessions is the need for better cost visibility. Teams are moving fast with AI, but as they go from experimenting to full production, finance and […]