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

Maximizing ROI in platform engineering

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.

GitOps for complex microservices

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.

Automated monitoring for Kubernetes platforms

Best Practice

Automotive industry

Auto-scaling infrastructure needs auto-scaling observability. Replacing a legacy monitoring stack with Prometheus, Thanos, Loki and Grafana on AWS.

Re-designing a container architecture for scalability

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%.