SERVICE · A·03

Your cloud, data, and infrastructure,
wired together so nothing runs on duct tape.

This is the infrastructure underneath everything else we build. We design, build, and actually operate the cloud systems that make the rest of your operation possible. It is not glamorous work, but it is the work that keeps everything else standing up.
CLOUD
AWS · GCP · on-prem
SECURITY
Built around your requirements
DEPLOYS
Safe, routine, and boring
HANDOFF
Runbook and on-call, from day one
The infrastructure, in four layers.
Cloud, data, identity, and observability. Each layer is designed to outlast the project that built it.
// 01

Cloud architecture

We default to AWS, but we are comfortable working across clouds when that is what the project actually needs. We design for the long run, so the system stays durable, observable, and cheap to actually run once we are not the ones running it anymore.

  • Infrastructure as code, always
  • Costs modeled before we build
  • Designed to run across regions
// 02

Data pipelines

Data moves from its source, through whatever processing it needs, all the way to the person who actually has to look at it. Every schema is declared up front, we track where data actually came from, and we know how fresh it is at any moment.

  • Streaming and batch, whichever fits
  • Schemas are enforced, not just hoped for
  • You can trace any column back to its source
// 03

Identity and access

Access rules are actually built into the system, not painted on as an afterthought. Operators, supervisors, and auditors each see exactly what they need to see and can only act on what is actually theirs to own.

  • Single sign on and row level security
  • Roles shaped around real jobs
  • Every permission change gets logged
// 04

Observability

Traces, structured logs, and a clear record of why each decision happened, all in one place. This is what actually lets you operate the system instead of just guessing at what it is doing.

  • Real traces, not just log lines
  • Dashboards a person can actually read
  • Alerts that mean something when they fire
How we integrate.
Four phases. Audit, design, migrate, operate. Every phase produces an artifact your team can read on its own.
01
AUDIT

Read the existing estate.

We look at what you actually run today, what you wish you were running instead, and what is quietly being held together by one person who is probably tired. The audit itself is something you keep, even if you never engage us for anything else.

Estate map and risk register
02
DESIGN

Design the infrastructure.

Infrastructure as code, identity, data flows, and observability, all written down, reviewed, and costed out properly. Nothing goes to production straight off a whiteboard.

Architecture doc and cost model
03
MIGRATE

Ship incrementally.

We use a strangler fig approach where the legacy system is still alive, and build fresh where it is not. Every cutover is rehearsed ahead of time, instrumented, and fully reversible.

Cutover plan and dry runs
04
OPERATE

Hand it over.

Runbooks, dashboards, an on-call schedule, and clear escalation paths. Your team owns the system at the end, and we stay on call for whatever surprises come up.

Runbook, on-call rotation, and a real handoff
What we use.
Boring infrastructure, deliberately. We choose for legibility and durability, not novelty.
CLOUD
AWS · GCP · on-prem
IaC everywhere
IAC
Terraform · Pulumi · CDK
Reviewed like code
DATA
Postgres · Snowflake · Kafka
Schemas declared
IDENTITY
Auth0 · Okta · custom
Operator-shaped roles
OBSERVABILITY
OTel · Honeycomb · Grafana
Traces > metrics
CI/CD
GitHub · GitLab · Buildkite
Deploys are events
What we get asked.
Six questions that come up early in most integration engagements.

Neither, really. We take on a fixed engagement, build the actual system, and then stay on for a quiet retainer afterward. We are not selling hours off a rate card.

If what you actually want is a staffing agency, we can point you toward one we trust. If what you want is a team that owns the whole design, builds the system, and stays reachable after it ships, that is us.

Both. With a brand new system, the real work is making good decisions early enough that they still hold up once you actually scale. With an older system, the real work is figuring out which old assumptions made everything fragile in the first place, and carefully unwinding them.

The discipline behind both is the same. The pace is not, a clean build moves a lot faster than carefully untangling something that has been running for years.

The underlying approach does not really change for regulated environments, we just move more carefully and make the audit trail more visible than usual. If your environment has real compliance or data residency requirements, we design around them from day one instead of bolting them on afterward.

No. Everything is documented, the infrastructure code lives in your own repo, and your team can actually read it years from now. We try to leave as little of ourselves behind as possible, not more.

The handoff at the end of every engagement is a real deliverable on its own, runbooks, on-call transitions, and dashboards that keep working without us. The retainer afterward is something you choose, not something you are stuck with.

Fixed fee for the design phase, time and materials for the build, and a fixed monthly rate for the retainer. We send a cost model along with the architecture doc so there are no surprises later.

Often, yes, and it is usually the better setup. Sometimes we own the infrastructure while your team owns the application on top of it. Other times we write the first version and hand it fully over to your team once it is stable. We figure out which shape makes sense together, right at the start.

Infrastructure built to outlast the team that commissioned it.

Tell us about the system you want supported and the constraints you cannot move on. We get back to you within 48 hours with an honest architecture sketch and a real cost model.