Which clouds do you work with?

AWS is our default, with GCP and Azure as first-class citizens. We've also shipped on Vercel, Fly, and Cloudflare Workers where the workload fit.

Will you take over an existing stack?

Yes — about half of our cloud work is cleaning up a previous engagement. We audit, prioritise, and migrate in cohorts, not a big-bang.

Can you reduce our cloud bill?

Usually, yes. We find the easy wins in week one (lifecycle rules, right-sizing, reserved capacity) and the structural wins in the second month.

What about compliance?

SOC 2, ISO 27001, HIPAA, PCI — we've written the controls as code for all four. The audit lands early and the report generates itself.

Service · Platform

Cloud, Data & DevOpsBoring on purpose.

Pipelines, infra-as-code, observability, and the unglamorous foundation that keeps you live while everyone else is paging at 3am.

Scope a cloud track See the capabilities

99.98%median uptime
−80%pager volume
−34%median cloud bill
2 weeksaudit early, on average

Track metadataCloud, Data & DevOps

Senior lead in the room First slice in week one

Headline metric99.98%median uptime

You leave with

Infra repo
Runbooks
SLO dashboard

AWS, GCP, Azure, VercelTerraform & IaCData pipelines & warehousesSLOs, alerts, on-call

Capabilities

Six things we do unusually well.

Every capability below is something we have shipped at least three times. No inflated menus, no services we‘d outsource to a stranger. Pick one, pick three, or pull the whole list into a Studio track.

Multi-cloud landing zones

AWS, GCP, Azure, and Vercel set up the way your security team actually wants them — typed Terraform, not a copy-pasted console.

Data pipelines

Streams and batches on a typed data layer. The dashboards stop arguing about whose numbers are right.

Observability

Logs, metrics, and traces wired into the same pane. Alerts that page humans, not noise.

On-call that doesn't burn people

Rotation, runbooks, and SLOs that mean something. Pager volume falls, sleep improves.

Cost guardrails

Per-team budgets with a Slack ping before the bill, not after. Reserved capacity and lifecycle rules that actually save money.

Compliance posture

SOC 2 and ISO controls written as code, not as a wiki. Audits land early; reports generate themselves.

The five-step rhythm

How a cloud track actually runs.

We work in visible slices with a rhythm you can feel. Senior hands on the work, demos on the calendar, and a written log of every bet we make and how it lands.

Step 01Audit

We measure the actual blast radius — accounts, secrets, paging patterns, and the three things most likely to page the founder.

01 / 5

Step 02Plan

A typed Terraform repo, a per-service SLO, and a paging rotation that respects the people on it.

02 / 5

Step 03Build

Landing zone, observability, and the first three runbooks. We migrate workloads in cohorts, never on a Friday.

03 / 5

Step 04Tune

Alerts that page humans, dashboards the regulator can read, and the cost guardrails finance asked for.

04 / 5

Step 05Hand off

Runbooks, Looms, and a quiet week where the team runs the on-call rotation without us in the room.

05 / 5

Proof in numbers

Beautiful motion is great.
Beautiful outcomes are better.

A few of the headlines from the engagements behind this track. The boring details (logs, audit trails, the Loom explaining why) ship with every engagement.

99.98%median uptime

−80%pager volume

−34%median cloud bill

2 weeksaudit early, on average

What you leave with