AmazonWeb Services

Cloud architecture with a GIS engineer's bias toward working systems.

S3, CloudFront, Lambda, API Gateway, DynamoDB, and the rest of the Well-Architected toolbox — practiced on this site and Global Ski Atlas.

AWS playground · witcoskitech.com

Why AWS

Build, measure, certify

AWS is where I learned cloud by shipping: this resume site, visitor counters, and ski-atlas pipelines. The SAA study plan turns that production muscle into exam-ready architecture judgment.

Serverless GIS backends

Lambda + API Gateway + DynamoDB is still the fastest path from a map idea to a durable API — the Cloud Resume Challenge pattern scaled up.

Edge + static frontends

S3 and CloudFront host this site. Knowing cache behaviors, OAC, and DNS quirks comes up on almost every static-site architecture review.

Study against real stacks

My SAA nights map to production patterns from Global Ski Atlas and this site — not slide-only learning.

IaC discipline

SAM templates and CI/CD for the visitor counter taught me to treat infrastructure like code — and to separate frontend from backend deploys.

Built on AWS

Playground projects

These pages are the AWS lab today — more architecture diagrams and mini-labs will join them.

Platform labs

Same pattern, more stacks

Mapping and cloud playgrounds — each hub explains why I use the platform and links demos as they ship.