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Case Studies

Real implementation examples, from AI infrastructure to healthcare integrations. Each case study includes metrics, stack decisions, and lessons learned.

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Each case study argues for one or more principles. Jump to the principle to see every post and study that backs it.

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Explicit Control Loops Evidence First, Measure Before You Optimize Warnings Over Errors, Graceful Degradation by Default One Config, Many Surfaces Contract-Driven Integration GitOps as the Boring Substrate

All AI Infrastructure Healthcare DevOps

Featured

AI InfrastructureFeatured

Building a Multi-Model LLM Platform on Consumer GPUs

How I run multiple OpenAI-compatible LLM endpoints on a small K3s cluster with AMD Radeon GPUs, and what I had to do to make it stable.

KubernetesvLLMAMD Radeon 7900 XTXPrometheus+2 more

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HealthcareFeatured

fi-fhir: Format-Agnostic Healthcare Integration

A case study in healthcare integration: how Source Profiles, a three-phase parsing pipeline, and a workflow DSL turn messy legacy formats into semantic events.

GoYAMLCELSvelteKit+8 more

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2 studies

Healthcare

Healthcare API Integration: Patient Matching & Documentation Gaps

A real integration failure mode: when an API contract is implicit, patient matching becomes a risk management problem. Here is the defensive pattern (validation + contract tests + instrumentation) that makes it operable.

FHIR R4HL7v2GoPostgreSQL+2 more

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DevOps

Building a Real-Time Kubernetes Operations Dashboard

How I built FlexDeck, a full-stack operations dashboard with real-time K8s monitoring, GitLab CI/CD visualization, and AI model management using Go and SolidJS.

GoSolidJSKubernetesD3.js+2 more

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