Use cases & best practices
What we built, and what we would build again.
These use cases and best practices are based on real customer engagements and the platform practices that came out of them, written up so you can judge whether the same approach and build fits your situation. They span the ground we work on every day: GitOps and internal developer platforms, observability for autoscaling infrastructure, introducing AI to organizations, container architectures under strict availability and data protection requirements, and the question of how to prove a platform’s value to the people funding it. Each write-up covers the starting position, the decisions taken and what they achieved, including the parts that were harder than expected. Client names are omitted; the industries and constraints are real.
Our use case library
Best Practice
Internal Developer Platforms keep their funding only when their value is provable. A data-driven way to link platform performance to business outcomes.
Use Case
Automotive industry
Replacing CD pipelines with Kubernetes-native GitOps to cut deployment complexity, stop environment drift and make status visible in real time.
Best Practice
Automotive industry
Auto-scaling infrastructure needs auto-scaling observability. Replacing a legacy monitoring stack with Prometheus, Thanos, Loki and Grafana on AWS.
Use Case
Telecommunications industry
A consent management system that could not keep up. Refactoring onto AWS EKS removed all outages and cut infrastructure cost by 43%.



