These representative scenarios demonstrate how GNU Group approaches architecture, performance, security, diagnostics and production-readiness problems across connected engineering systems.
A representative performance-engineering scenario for a Spark/PySpark workload that becomes slower and less predictable as data volume and transformation complexity grow.
A representative architecture-review scenario for a Kubernetes platform that works functionally but needs stronger production resilience, security and operability.
A representative AI-engineering scenario for a RAG prototype that produces promising demos but lacks measurable retrieval quality, evaluation and production controls.
A representative automotive-platform scenario where application, Car Service, VHAL and vehicle integration boundaries need to be understood systematically.
A representative security-review scenario for a Linux estate that needs a consistent, explainable hardening baseline without breaking operational requirements.
A representative DevSecOps scenario for a delivery pipeline that needs security controls without turning every build into an unmanageable collection of scanners.