We set up and run the delivery side of the applications we build and maintain: CI/CD pipelines, infrastructure written as code, containers where they help, environments, secrets, alarms and migrations between hosts. Our project records hold 60+ deployment and infrastructure engagements and 15+ projects on CI/CD and infrastructure tooling. This website is deployed the same way.
60+
Deployment and infrastructure engagements in our records
15+
Projects on CI/CD and infrastructure tooling
3
Clouds we deploy to: AWS, Azure, Google Cloud
20+
Years in business, since 2005
Counts come from our project records. An engagement counts when its recorded work is deployment, infrastructure, server management or a hosting migration; a tooling project is one whose recorded stack names a CI/CD or infrastructure tool.
Examples from our own projects, described in general terms and linked to the case studies that show them.
We run the pipelines and infrastructure for the applications we build and maintain, and we set them up for applications you build yourself. We do not sell a 24/7 operations desk or an on-call engineer: our aim is a set-up where failures are visible, rollbacks are routine and nothing depends on one person's memory.
For the platforms themselves, see AWS development, Azure development and Google Cloud and Firebase; for containers in depth, Docker development. Our plain-English guide to cloud computing covers the vocabulary.
Pipelines and infrastructure we set up
QCare, DEKRA's quality, compliance and risk evaluation platform on the Collabtic service platform: certification and compliance tracking, organisations, training, shop certification and headquarters dashboards, on an Angular front end and a PHP API.
Pipelines and infrastructure we set up
Xpress Money, a remittance platform for Wizz Financial: Angular portals and .NET services deployed on Azure, with the commercial ESB replaced by Azure Service Bus.
Pipelines and infrastructure we set up
Our own website: an Astro static build on S3 and CloudFront, Lambda APIs for forms, audits and consent, infrastructure as code with the AWS CDK, deployed by GitHub Actions with OIDC.
Pipelines and infrastructure we set up
A SaaS platform that finds slow queries and missing indexes in live databases and returns ranked, AI-assisted fixes with risk and rollback, optionally as pull requests.
Pipelines and infrastructure we set up
A .NET trading engine, API and Next.js control console for Rainbow Capital that runs configurable US equity options strategies under per-underlyer risk limits, with daily profit and loss reports to Slack.
Pipelines and infrastructure we set up
A web app that finds a roof from an address, shows detected roofs on a satellite map and sells tiered reports, with a Python service using Google Solar API data and Gemini roof-photo analysis.
Pipelines and infrastructure we set up
A .NET Blazor quote calculator, order and checkout flow and back office for Top Tier Editing, an editing service: instant prices from admin-set rules, document upload with word count, Stripe and PayPal payments and scheduled emails.
The services and tools in our deployment work. Linked technologies open our page for them.
GitHub Actions
AWS CodeBuild
Azure DevOps
Jenkins
Terraform
Docker
Google CloudAmazon CloudWatchUsually not at the size of the systems we build. Most of our clients run well on managed services: Lambda and Elastic Beanstalk on AWS, App Service and Functions on Azure, Cloud Run on Google Cloud, or a small container host. Kubernetes earns its keep when you run many services with their own scaling needs, and we say so when that is the case.
The one that fits where the code lives: GitHub Actions for repositories on GitHub, CodeBuild and CodeDeploy on AWS, Azure DevOps on Azure, Jenkins where a client already runs it. The pipeline is checked into the repository with the code.
Accounts stay in the client's name. Pipelines deploy through short-lived roles rather than stored keys where the platform allows it, secrets live in the platform's secret store (SSM or Secrets Manager on AWS), and nobody shares credentials by e-mail or chat.
The pipeline stops before the change reaches users: tests and type checks run first, deployments keep the previous version until the new one is healthy where the platform supports it, and alarms report failures by e-mail. Rolling back is a redeploy of the last good version, not a manual rebuild.
With a review of what runs today: repositories, environments, how releases happen now, where the secrets are, what is monitored. We come back with a short written plan, usually starting with the pipeline and the infrastructure definition, and you own everything we set up.
There are three ways, on the same terms:
Whichever you choose, we sign an NDA before work starts, you own the code we write, and every change is reviewed in your repository.
Yes. For a dedicated team you meet the developers in an online call and interview them before they join your project.
Tell us where the code lives, how it is deployed today and what breaks. We come back with questions and a short written plan.