Cloud platforms that hold up under real load
Architecture, infrastructure as code, CI/CD and cost control on AWS — from engineers who spent years inside AWS getting enterprise workloads into production, not just certified to talk about it.
How we approach it
Most cloud problems are not really cloud problems. They are a proof of concept that quietly became production, a Terraform state nobody dares touch, deploys that happen from one person’s laptop, and a bill that grows faster than the traffic. The platform works until the day it matters, and then everyone discovers there is no staging environment, no alerting and no way to roll back.
We fix that in the order that reduces risk fastest: get the environments and networking right, put every piece of infrastructure into code, make deploys boring and repeatable, then add the monitoring that tells you something is wrong before a customer does. It is unglamorous work, and it is the difference between a platform you can ship on weekly and one you are afraid of.
Our engineers did this inside AWS for enterprise customers in finance, media and aviation — hardened networking with no internet egress, VPC endpoints for every service a workload touched, CDK and Terraform stacks their teams could extend, CI/CD that made a release a non-event. One stalled financial services workload went from months of drift to live in three days, with two of their own engineers able to run and extend it afterwards.
Engagements are scoped and priced before they start. A cloud architecture review is a fixed piece of work with a written report and a prioritised plan; a migration, hardening or cost-reduction project gets a written scope and fixed price after a free 30-minute call. You keep the accounts, the code and the documentation — the point is to leave your team more capable, not more dependent.
Cloud & Platform Engineering, done properly
Architecture reviews
A senior review of what you are running now: failure modes, security gaps, scaling limits and cost, written up as a prioritised plan rather than a list of complaints.
Infrastructure as code
Every environment defined in Terraform or AWS CDK, so infrastructure is reviewable, repeatable and recoverable instead of living in one engineer’s memory.
CI/CD and environments
Proper dev, staging and production environments with automated pipelines, so deploys are a routine event and rollbacks take seconds rather than nerve.
Production hardening
Private networking, VPC endpoints, least-privilege IAM, secrets management, automated backups and disaster-recovery you have actually tested.
Cost reduction
We find the spend that buys you nothing — idle capacity, oversized instances, chatty data transfer, forgotten environments — and make the architecture scale with load.
Observability
Metrics, structured logs, traces and alerts that page a human on the things that matter, so problems surface before your customers report them.
From first call to launch
- 01
Review
A free call, then a focused review of the accounts, architecture and deployment process as they stand — including the bill, because it usually tells the real story.
- 02
Plan
A written plan ordered by risk and payback: what to fix first, what can wait, what to leave alone. You get a fixed scope and price before any work starts.
- 03
Implement
We work in small, reversible steps on your infrastructure as code, with your engineers in the pull requests so the knowledge transfers as the work lands.
- 04
Hand over
Runbooks, architecture diagrams and a walkthrough with your team. You own the accounts and the code; we stay on for support only if you want us to.
Cloud & Platform Engineering questions, answered
Do you only work on AWS?
AWS is where our depth is — years of it, inside AWS itself, across Lambda, Step Functions, DynamoDB, ECS, Bedrock, OpenSearch and the rest. We work on Azure and Google Cloud too, and we will say plainly when a workload is better served by staying where it is rather than paying for a migration that buys you nothing.
We have a prototype in production. Where do we start?
That is the most common engagement we take. Start with an architecture review: it establishes what would actually break, what is exposed, and what it would cost to fix, before you commit to a bigger project. Most reviews find two or three changes that remove the majority of the risk, and those are usually cheap.
Can you reduce our AWS bill?
Usually, yes — and often significantly, because most bills contain environments nobody uses, capacity provisioned for a peak that never comes, and data transfer patterns that cost more than the compute. We quantify the saving before you commit to the work, so the engagement pays for itself or we tell you it will not.
Will our team be able to maintain it afterwards?
That is the deliverable. Infrastructure lives in code your engineers review with us as we go, and you get runbooks and diagrams at the end. On one AWS engagement the explicit outcome was two of the client’s engineers running and extending the workload themselves once we left.
Do you offer ongoing platform support?
Yes, optionally. Some clients take a support plan covering monitoring, patching, cost review and on-call escalation; others take the handover and run it in-house. Both are fine — we would rather you had the choice than the dependency.
Related services
Data Engineering
Pipelines, warehouses and reporting your team can actually trust.
Systems & API Integration
Making the systems you already run talk to each other properly.
Software Development
Bespoke software that removes manual work and scales with you.
AI Development
Production-grade AI features and products — engineered to work reliably, not just demo well.
Let's talk about your project
Tell us what you're trying to achieve. A free 30-minute chat, no obligation — we'll tell you honestly what we'd recommend, what it would cost and what it should pay back.