Cloud & DevOps
Your cloud, boring by design.
Deployment pipelines, observability, and cost control across the cloud you already use — engineered so the exciting parts of your week are features, not incidents.
What we do
- Deployment and infrastructure as code on your cloud
- Observability: you find out before your customers do
- Cost engineering — bills that track usage, reviewed like code
- Incident readiness: runbooks, alerts, and postmortems that actually change things
When teams come to us
- The cloud bill nobody can explain
- Incidents discovered on social media
- One person who knows how production works — and they're on vacation
The person on vacation
Most companies find out how their production works the week the one person who knows it is away. The environment was built by hand over years — a setting changed during an incident, a rule added at midnight, a secret that lives in someone's terminal history — and it works, until it has to be rebuilt, or understood, or changed by anyone else. That is not an operations problem with a person; it is infrastructure that was never written down.
Boring by design means the opposite: every environment, every rule and every pipeline lives in code that is reviewed, versioned and can be applied again to produce the same result. It means observability that answers "what changed" before anyone has to guess, and a bill where every resource has an owner and a reason. And it means the failure modes are written down in advance, each with a runbook, so an incident is a procedure someone follows rather than an adventure someone survives. The exciting part of the week should be the feature that shipped.
How we build it
Map what runs where
and what it costs
Codify the infrastructure
reproducible, reviewable, versioned
Observe before optimizing
you can't fix what you can't see
Runbook the failure modes
incidents become procedures, not adventures
What “boring” is made of
Nothing by hand
every environment, every rule, every secret's shape lives in code, reviewed and versioned. If production can only be rebuilt from someone's memory, the vacation problem is a design problem.
You find out first
logs, metrics and traces that answer "what changed" in minutes, and alerts that go to a person who can act, with a threshold that person agreed to. Incidents discovered on social media are an observability gap, not bad luck.
The bill explains itself
every resource has an owner and a reason. Idle, oversized and unowned get found by looking, not by a quarterly panic. Bills that track usage, reviewed like code.
Failure has a procedure
the failure modes are written down before they happen, with a runbook each. A postmortem that changes nothing is a meeting; one that adds a runbook is engineering.
An exciting week in operations is a week something was never designed.
Works well with
FAQ
Should we go multi-cloud?
Only with a concrete reason. Resilience theater costs real money.
Can you reduce our bill without breaking things?
Visibility first, then the usual suspects: idle, oversized, unowned.
On-call: yours or ours?
Either, or shared — defined in runbooks, never assumed.
Can you take over infrastructure that was built by hand?
That is the usual starting point. We map what runs where and what it costs, codify it piece by piece while it keeps running, and switch each piece over only when the codified version has been applied and verified. Nothing gets rebuilt from scratch; it gets written down, then trusted.
Where does AI fit in this?
Where a team runs its own models, the operations are the same discipline — deployment, observability, cost — applied to a component that consumes GPUs and behaves probabilistically. The bill is the part that surprises people first: per-call and per-token costs scale with success, and the fix is the same as for any other resource — visibility, ownership, and a budget the system respects.