Cloud infrastructure that survives contact with real traffic
Most cloud problems are not exotic outages. They are an environment nobody can reproduce, a bill nobody can attribute, and one person who knows where the load balancer is. We build infrastructure that is described in version-controlled code, reproducible from scratch, and understandable by whoever inherits it — which is usually you, six months later.
Engagement
Cost reviews and audits run as fixed-scope 1–2 week engagements. Migration and platform builds are scoped in sprints, with infrastructure as code from sprint one.
What you get
Deliverables, not adjectives
This is what lands in your hands at the end. If something is missing from this list, it was not in scope — and we will say so before we start rather than after.
Infrastructure as code in Terraform — the whole environment reproducible from an empty account
CI/CD pipelines with preview environments, automated tests and one-command rollback
Autoscaling, load balancing and CDN configuration tuned to your actual traffic shape
Backup and disaster recovery with a tested restore, not just a green tick on a dashboard
Observability that answers questions: logs, traces, metrics and alerts routed to one place
A cost review with rightsizing and spend controls — usually the fastest payback on the engagement
A written runbook covering deploys, rollbacks, incidents and who to call
When to call us
The situations where this is the right conversation
If you recognise one of these, that is probably enough to justify a 30-minute call.
01
Your AWS bill went up and nobody can explain why
We tag, attribute and break the bill down by service, environment and team, then fix the causes. Storage sprawl, idle load balancers, unindexed databases and forgotten staging environments account for most of it.
02
You cannot rebuild your environment from scratch
That is a business continuity risk wearing an operations hat. We put the whole environment in Terraform and prove it by building a fresh copy in a separate account.
03
Deployments are scary
We make them routine — preview environment, automated checks, one-command rollback, and a deploy that does not require the person who built it to be awake.
04
You are moving off something expensive or end-of-life
We have done monolith-to-services, self-hosted-to-cloud, and cloud-to-cloud. We run both sides in parallel, cut over deliberately, and roll back quickly if the numbers say so.
How we build it
The tools we would reach for
Not a shopping list. These are what we would actually pick for this kind of work, and we will tell you if a different tool fits your constraints better.
- AWS
- Microsoft Azure
- Google Cloud
- Terraform
- Kubernetes
- Docker
- GitHub Actions
- Cloudflare
- Datadog
- PostgreSQL
Examples
The shape of work this usually turns into
Illustrative scenarios, kept anonymous. Specific case studies with client names and evidenced metrics appear on our work page as clients approve them.
Cost recovery on an overgrown AWS estate
A multi-service estate with no tagging discipline. Introduced cost allocation, rightsized compute, moved cold data to cheaper storage and archived non-prod environments. Monthly spend reduced by a third with no change in measured performance.
- FinOps
- Rightsizing
- Cost allocation
Lift-and-shift with zero downtime
A monolithic on-premise application migrated to cloud over an eight-week window, running in parallel with DNS-based cutover and an automated rollback. No maintenance window was needed.
- Migration
- Blue/green
- Zero downtime
Multi-region failover, actually tested
A production platform given a documented, exercised failover path with RTO and RPO agreed in advance — and a game day that proved it worked before it was needed.
- DR
- Multi-region
- Game day
Questions
Cloud: what buyers ask
Straight answers, including where the answer is that you probably do not need this.
No. Everything is expressed in Terraform, so the same infrastructure is portable between AWS, Azure and GCP. That is partly why clients pick us — you are buying the platform, not a hostage situation.
Yes, and we prefer it. We run paired with your engineers, write the documentation as we go, and hand over the runbook at the end rather than leaving you with a system only we understand.
On estates that have grown organically, a 20–40% monthly reduction is common, achieved by rightsizing, storage lifecycle, scheduling non-prod and fixing broken tagging. We report actuals against a baseline so the number is verifiable rather than a promise.
We set up and configure monitoring, alerting and on-call runbooks. If you want a team holding the pager, we can hand over to your existing provider or recommend one — we do not resell it.
Related
Often needed alongside this
Got a cloud project in mind?
Send us the problem and the constraint. You will get a written responsewithin one uk business day, uk hours, 9:00-18:00, monday to friday, and an honest view on whether we are the right fit.