A new direction for my career

For the past seven years I’ve been working with builders who want to deploy containers on AWS. You may know me from personal assistance I’ve given you in direct messages, from reading my social media posts and blog posts about Amazon ECS and AWS Fargate, or from using my reference architecture patterns on Containers on AWS. Today I’m announcing a change of role inside AWS. I will be focusing on generative AI services, in specific Amazon CodeWhisperer and Amazon Q with CodeWhisperer.

Prior to joining AWS I was a software engineer in the NYC startup scene. I could write the code, but I needed a better way to get that code running in production. Containers captured my attention when I saw what they were enabling. With container tools even a small startup could have highly efficient but highly resilient application deployments. Startups using containers were unlocking a new way to think about infrastructure that was previously only common for the largest companies in the world, and even then only if those companies built custom deployment orchestration software maintained by large internal teams.

Just like containers did, all good technologies enable builders to do greater and greater things with fewer resources. The cloud as a whole is another technology that I love because of how it enabled startups. Amazon CloudFront gives me 1TB of free data transfer out to my users. DynamoDB gives me 25 GB of free database storage, and up to 200 million free API calls to access that data. AWS Lambda gives me 1 million free requests per month. I can run a decent sized application for almost nothing. And if I’m willing to spend $100 a month I can maintain a really large business, with multiple copies of the application and it’s data, distributed across redundant hardware in multiple data centers, powered by renewable energy sources, connected by redundant network capacity.

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