Cloudnonic designs, builds and operates AWS infrastructure for the products we build and for companies whose platform has outgrown what one engineer set up by hand. Everything is infrastructure as code in Terraform, deployed through automated pipelines with health checks and rollback, monitored, and backed up in a way that is tested by restoring. We run it with a named engineer on call, and we hand it over documented so your team can take it on.
A capable contractor builds something elaborate, leaves, and the team is afraid to touch it. Every change becomes a ticket to an outsider.
Slow releases, a bill nobody can explain, and an outage that takes days because the person who knew is gone.
We build with the tools your team already knows, in code they review, and the handover is part of the scope, not a favour at the end.
Snapshots exist, nobody has restored one, and the first real restore happens during an incident.
Hours or days of downtime at the worst moment, and data loss that no insurance covers.
Restore tests are scheduled and automated. Recovery time is measured, not assumed.
Environments are left running, instances are oversized for safety, and the bill grows with nobody responsible for it.
A large share of the cloud budget spent on nothing, and a surprise when the runway is calculated.
Cost is a monthly review with an owner, environments are created and destroyed from code, and sizing follows measured load.
Infrastructure is included when we are your product team, and it is a common reason companies bring us in as an embedded team: a platform that works but that only one person understands. We fix the risk first, then hand over a setup your engineers can change without fear.
An embedded team · What this prevents: A six-month hiring cycle for a skill you need this quarter, and a vendor that works outside your process and leaves no trace in your repos.
The two engagement models →Chosen per project. We pick what your team can run after us, not what is fashionable.
AWS
TerraformAWS Lambda
Docker
GitHub ActionsGitHub ActionsDockerAWS LambdaTerraformAWSCase studies in this scope. Every figure comes from the study behind it.
NestJS
Next.js
PostgreSQLAWSTerraform
Python
ReactAWSPythonReactAWS
FastAPIReactPostgreSQLAWS LambdaTerraform
AWS is our default and where most of our production experience is. We take on other providers when a client already runs there, and the practices are the same: everything in code, automated pipelines, tested backups, and an engineer on call.
Yes. We start with a review of what exists, what is documented and what is a single point of failure, agree the order of fixes with you, and bring the setup into code and pipelines step by step while it keeps running.
That is the goal. Everything lives in your accounts and repositories from the start, your team reviews the pull requests, and handover with runbooks and pairing is part of the scope.
A named Cloudnonic engineer is on call for the platforms we run, with alerting and runbooks in place. When your team takes over, we rehearse the rota with them first.
Every service on this page is delivered with our AI-Native process: specs as the source of truth, agents in the pipeline, and a named engineer signing off at staging.
How we build with AI →
