Cloud infrastructure you can rebuild, move and afford

No. We work in your repository, your cloud and the tools your team already uses. If one of them gets in the way of the work, we tell you what and why, and you decide.

A scoping call about your cloud, application dependencies, bill and the release, security or recovery problem. We then define the assessment and implementation work, and the plan names the first milestone, its schedule and the checks it must pass.

We quote after reviewing the environments and changes in scope. The plan separates the engineering work from the cloud resources and services you will continue paying for. You approve the scope and billing model before implementation.

Not by default. We build on containers, Kubernetes, PostgreSQL and OpenTelemetry, which run on AWS, Azure and GCP, and keep the infrastructure in Terraform, OpenTofu or Pulumi. Where a provider-specific service is clearly worth it, we use it and write down what replacing it would take. Moving providers then becomes a planned project, not a rewrite.

Yes. We start with the current services and deployment process. The plan says what stays, what can change incrementally and where a migration is needed.

Often by a lot. Good monitoring, right-sizing and better architecture decisions can cut a bill several times over, because the cost usually sits in oversized resources, idle environments and repeated work. We do not promise a number before looking at your usage. One example: in a consumer app with 30,000 users, most of the Supabase bill was image transformations repeated for every user, and the fix cut it by about three quarters. A fintech client's Clutch review of the Azure microservices platform we built also mentions savings in cloud infrastructure.

Least-privilege access for people and services, secrets in a secrets manager, regular patching, vulnerability and dependency scanning in CI, audit logs, and backups with restore tests. Attackers now use AI models to find exposed keys and unpatched services faster, so the checks run on every change. Incident response procedures are part of the handover. On-call coverage and response-time commitments are agreed separately.

You keep the infrastructure definitions, pipeline configuration, monitoring setup and runbooks. We prepare the handover around the team that will operate the system, or agree continued work with you.

Cloud and architecture engineers from our team of 130+ engineers, many of them graduates of Poland's leading technical universities, with hands-on work on AWS, Azure and GCP. Choose this service when you need an agreed infrastructure result delivered. If you already lead the operational work and need a specialist inside your team, embedded DevOps engineers fit better.

Our brief on a 44-day build describes a product with a web app, an admin console, an API and a background worker: accepted changes deployed to a test environment, nine automated checks on every change and browser tests against real providers, never on production. The case studies list the infrastructure behind each product: Azure and Kubernetes for the construction platform, Kubernetes and Docker for Signal Mesh, AWS for the campaign-finance platform.