Your software needs a place to run, a way to deploy, and an infrastructure layer your organisation can trust. Cloud and platform engineering gives your applications, data systems, and AI workflows the environments, pipelines, networks, and controls they need to keep working.
Cloud environments for applications, data platforms, dashboards, APIs, and AI workflows. We can work with major providers such as AWS, Azure, and Google Cloud, or design European hosting alternatives when data residency, sovereignty, cost control, or provider dependency are important.
Infrastructure for organisations that need stronger control over where systems and data run. We support EU-based hosting, private networks, managed Kubernetes, serverless databases, backups, access controls, and reduced provider dependency. European platforms such as Scaleway can be serious alternatives where data residency, sovereignty, cost control, or portability matter.
Modern deployment pipelines for software that needs to move from development to production safely and repeatedly. This can include Git-based workflows, container images, automated builds, tests, staging environments, production deployments, rollback paths, and release processes that make delivery faster and less fragile.
Container-based platforms for applications and services that need predictable deployment, scaling, isolation, and portability. This can include Docker images, Kubernetes clusters, container registries, ingress, secrets, service configuration, background workers, and application environments.
Secure infrastructure for systems that handle sensitive operational, health, financial, or client data. This can include private networks, firewalls, VPNs, access controls, environment separation, secrets management, encrypted storage, monitoring, and backup design.
Operational foundations that keep systems understandable after launch. This can include monitoring, logging, alerts, uptime checks, incident response, cost monitoring, documentation, maintenance routines, and support structures for applications, databases, integrations, and data pipelines.