Cloud & DevOps
Infrastructure that scales with the product, not against it.
What this department covers
Infrastructure problems rarely show up on day one — they show up the day traffic doubles, or a deploy takes down production, or nobody on the team can explain how the current setup actually works. We build cloud infrastructure and CI/CD pipelines meant to survive that day: reproducible deployments, monitoring that tells you what broke before a customer does, and an architecture that scales by changing a config, not by a rewrite. That work spans AWS, GCP, and Azure, and it's the same infrastructure discipline whether it's supporting a web app, a mobile backend, or a real-time telemetry pipeline from our drone and robotics work.
A lot of what we get called in for isn't a greenfield setup — it's an existing system where deploys are manual and stressful, nobody's quite sure what happens if a particular service goes down, and 'infrastructure as code' is aspirational rather than actual. Fixing that doesn't usually require a rewrite. It requires making the existing setup reproducible, observable, and boring in the way infrastructure is supposed to be boring — so a deploy is a routine event instead of one everyone quietly dreads.
Where this shows up
Designing or migrating infrastructure on AWS, GCP, or Azure built to scale with the product.
Automated build, test, and deployment pipelines that make shipping routine instead of risky.
Observability and alerting so failures are caught before they become outages.
The event-driven, queue-backed infrastructure (Lambda, SQS, SNS) that our drone, robotics, and live-tracking work depends on.
Reviewing an existing setup to find the single points of failure and manual steps that are one bad day away from becoming an outage.
Right-sizing infrastructure that's over-provisioned or paying for idle capacity, without sacrificing the reliability the system actually needs.
Built on infrastructure made for real-time data
Lambda, DynamoDB, SQS, SNS, and API Gateway — our default for event-driven and real-time infrastructure.
Used where the rest of a client's stack already lives there, or where specific services fit better.
Same — matched to existing client infrastructure rather than forced by default.
Automated pipelines from commit to deploy, built to catch problems before they ship.
Reproducible environments defined in code rather than manual console configuration nobody can fully reconstruct.
Client work in this department
Most infrastructure work we do isn't glamorous, and that's kind of the point — the goal is for deploys, scaling, and incident response to be boring, predictable events instead of the thing that quietly worries a team every time it happens. That's especially true for the real-time, event-driven infrastructure behind our drone, robotics, and live-tracking work, where a dropped queue message or a silent failure isn't just an inconvenience, it's a fleet operator missing a telemetry alert they needed.