Cloud infrastructure and APIs, set up in your own account

What we set up

Software is only as dependable as the place it runs. We set up that place in your own cloud account, so it is billed to you, owned by you and never held hostage by a contractor. A typical setup has separate environments for testing and production, so changes are tried somewhere safe before customers see them. Releases are automated: every change passes the same tests and checks, deploys the same way each time, and can be rolled back in one step if something goes wrong. Monitoring and alerts watch errors, response times and uptime, and are designed to tell your team about a problem early, ideally before customers notice. Access is limited to what each person and service needs, secrets stay out of the code, and backups are tested by actually restoring them.

All of it is kept in version control as code and written down. Nothing depends on one person remembering how a server was configured.

AWS, Azure or Google Cloud

We work on all three. The right choice is usually the one your organization already uses, because accounts, billing, security reviews and skills are already in place. When you are starting fresh, we compare the providers for your workload, the managed services you need and the team that will run it, and recommend one in writing, with the reasoning and the trade-offs you are accepting.

APIs your systems can rely on

Sometimes the API is the product. We design APIs before building them, agree the shape with the people who will use them, and document them so a partner’s developer can integrate without a meeting. They are versioned, so they can change without breaking the apps already relying on them, and covered by automated tests like the rest of the code. We also build integrations with the APIs you already depend on, such as payments, CRMs or inventory systems, with logging and alerts when a sync fails, so problems are visible rather than silent.

Serverless when it fits

Serverless functions, such as AWS Lambda or Google Cloud Functions, and managed back ends such as Firebase suit work that is event-driven or uneven: webhooks, scheduled jobs, file processing and traffic that spikes. Steady, long-running workloads are often simpler and cheaper on a conventional application server or containers. The back end is chosen for each project, not from habit, and the decision is recorded with the point at which it should be revisited.

Moving or taking over an existing setup

Projects often start with infrastructure that works but that nobody fully understands. We begin by documenting what is actually running and what it costs, then fix the riskiest gaps first, such as missing backups, shared passwords or releases done by hand. The rest moves to a repeatable, documented setup in steps, planned to keep the system online. Software that has to leave a single server, or move from one provider to another, moves the same way. A runtime past its end of support is often one of those gaps: .NET 8 and .NET 9 stop getting security updates on 10 November 2026 (moving to .NET 10).

On its own or under a build

Cloud work can sit underneath a custom web app or SaaS platform we are building, sit alongside the modernization of an older system, or stand on its own for software that deserves a proper home. Either way, it is held to the same standard as the application code.