Cloud DevOps
Production infrastructure on AWS and Azure. Infrastructure as code, CI/CD, migrations, cost optimization, and the operational discipline that keeps it all running.
Learn more →Cloud · AI · Applications
Cloud engineering for the AI era.
We build, automate, and modernize cloud infrastructure on AWS and Azure, and ship the AI features and applications that run on top.
What we do
Three practices, one team.
Cloud DevOps is our anchor: over a decade of production AWS work, now spanning Azure too. We've extended that engineering muscle into AI implementations and custom application development.
AI Implementations
Ship AI features inside your apps, automate workflows with LLMs, and stand up the infrastructure to run models reliably in production.
Learn more →Custom Applications
Custom application development using AI coding frameworks, moving from concept to production faster than traditional consultancies, without sacrificing quality.
Learn more →Recent thinking
From the blog.
Multi-Region Resilience: Patterns and Pitfalls
Multi-region architectures are more accessible than ever, but the operational and cost realities still surprise teams. Here are the patterns that work, the pitfalls that show up consistently, and a framework for deciding what level of multi-region you actually need.
Migrating from Heroku to AWS: A 2026 Playbook
An updated playbook for migrating Heroku applications to AWS, drawing on lessons from the Firstech migration and several engagements since. The mechanics have stabilized; the tradeoffs have shifted.
AI Agents in Your DevOps Workflow: What Actually Works
After a year of operating AI agents in DevOps workflows, we have a clearer picture of where they earn their keep and where they create more risk than value. Here's what's actually worked.
Have something to build?
Tell us about your cloud, your AI ambitions, or the application you've been meaning to ship. We'll come back with a plan.