Cloud architecture: cut costs & migrate safely

Cloud architecture means planning a company’s IT infrastructure so that applications run securely, scalably and economically on Azure, AWS or GCP. It covers the target architecture and provider choice per workload, infrastructure as code with Terraform, containers and Kubernetes, and CI/CD pipelines for low-risk deployments. DevOps adds processes in which development and operations share responsibility, and FinOps adds continuous measurement and optimisation of cloud costs. The goal is a platform that accelerates new products instead of slowing them down, with costs that are transparent at all times.

This matters for mid-sized companies and corporations now because cloud bills often grow faster than revenue and AI workloads demand additional infrastructure. Typical mistakes: legacy systems are lifted into the cloud unchanged, multicloud is chosen on principle rather than economics, and deployments stay manual and risky. Without a cost baseline, nobody knows in the end whether the migration paid off. Meanwhile old monoliths block new products, because every change becomes a risk to operations. Costs are then paid twice: for the legacy setup and for the new cloud.

I bring more than 20 years of enterprise IT and projects for DAX-listed corporations. For an enterprise software vendor, I migrated a monolithic on-premise application to a Kubernetes-based multicloud architecture with automatic scaling – costs fell by 60 %. Every project starts with a cost-baseline assessment; first savings are usually measurable after three months. If you wish, I take over operations or build up the know-how in your team.