Overview
Who it is for
Cloud architecture is for organizations whose infrastructure has become a source of risk or cost rather than leverage. The bill that grew faster than revenue and nobody can explain. The environment that was built by hand, by someone who has left. The outage that took a day to diagnose because nothing was observable. The compliance review that stalled because the evidence was scattered across consoles.
It is also for teams about to build something new who want the foundation right the first time: a product launching on a managed platform, a data pipeline that needs to run every night, an integration layer that other systems will depend on.
What we deliver
An architecture you can see, change safely, and pay for predictably:
- A written architecture with a diagram, the reasons behind each decision, and the trade-offs that were considered.
- Infrastructure as code for every environment, applied through a pipeline, reviewed like application code. Nothing manual.
- Observability built in. Logs, metrics, traces, and alarms that tell a small team what is wrong before a customer does.
- Cost attribution. Spend tagged and reported by service, team, or customer, so that scaling decisions are made on numbers.
- Security and compliance controls designed in: identity and access, encryption, audit logging, backup and recovery, and the documentation to prove it.
- Multi-region or disaster recovery where the business case justifies it, tested rather than assumed.
- Runbooks for deployments, incidents, and the recurring operations that keep a platform healthy.
The result scales linearly with revenue. When usage doubles, cost and effort should rise with it in a line you can draw, not a curve you discover on the invoice.
How the engagement runs
- Listen. A 60-minute call about what runs where, what it costs, what has broken, and what is coming. A one-page scope within 48 hours.
- Discover. We read the existing environment and the bills, map every resource and dependency, and build a working slice of the target architecture as code. The sprint ends with a diagram, a migration or build plan, and a cost model.
- Build. Infrastructure lands as code in your repository, applied environment by environment, with a weekly demo of what now runs and what it costs. Workloads move behind the scenes with no downtime where the plan allows it.
- Hand off. Your team runs the pipeline and the on-call rotation for the last two weeks while we taper, then a 90-day standby with an on-call playbook.
Typical stack
Infrastructure defined with a mainstream infrastructure-as-code tool, applied by a pipeline from your repository. Managed services wherever they remove operational work: managed databases, queues, object storage, serverless or container platforms, and the cloud’s own identity, secrets, and observability services. We prefer the platform’s native tools to third-party agents unless there is a clear reason, because fewer moving parts means fewer things to run.
Where you already have an infrastructure-as-code setup, we work in it. Where you have none, we start one that your team can read, because the point is that they own it.
Linear, not exponential
The pattern we are hired to fix is almost always the same. A system that worked at one-tenth the volume was scaled by adding capacity rather than by changing shape, and the bill followed. The fix is architectural: queues where there were synchronous calls, caching where there were repeated reads, right-sized managed services where there were hand-built servers, and attribution so the next decision is made with numbers. We write all of it down, so the reasoning survives the next reorg.
If a cloud decision is tangled up with a larger build-vs-buy or replatform question, start with the architecture review.