Case Studies

Real engineering stories from production. How we solve cloud infrastructure challenges for enterprise clients.

• Why We Chose Azure Functions Flex Consumption Over Databricks for Lightweight Integration APIs: When migrating integration APIs from a legacy system, the team had Databricks as the default platform. But for workloads that process a few hundred rows in under two seconds, a quick pricing analysis showed that Azure Functions Flex Consumption was orders of magnitude cheaper, even if it meant stepping outside the central governance model.
• How We Scaled a Data Platform to Tens of Isolated Products with a Single Terraform Module: A template-driven data product model that delivers fully isolated environments (storage, compute, governance, and access) through one shared module instantiated via configuration.
• How We Built a Cloud Platform from Scratch for a Swiss Enterprise: When corporate IT would not grant DevOps-level permissions, the team provisioned a dedicated Azure tenant and built governance, networking, and identity entirely as code for a Swiss enterprise analytics programme.
• Building a Data Platform Roadmap for a Swiss Startup: No code was deployed. We analysed the existing AWS infrastructure, documented architecture decisions, and created an actionable backlog, giving the team clarity before committing to execution.
• What It Takes to Run a Cloud Platform Serving Hundreds of Teams: Inside an enterprise-grade Azure platform that automates subscription provisioning, enforces governance at scale, and connects cloud operations to the entire IT ecosystem.
• How We Fully Automated Environment Cloning for a Finance Transformation Program: The breakthrough was not in the code. It was in cloning Active Directory, IP spaces, and identities into isolated environments, making cutover trivial by design.