Operational Memory Architecture for Kubernetes: Evidence Horizon Taxonomy and Extended Causal Pattern Preservation

This work extends our prior publication (DOI: 10.5281/zenodo.19685352) by expanding the Operational Memory Architecture (OMA) framework from a single evidence horizon (H1) to a full taxonomy of five horizons (H1–H5). OMA is an open-source framework for preserving causal diagnostic context in Kubernetes clusters before it is destroyed by the platform's native event retention mechanisms. The extended framework introduces four additional causal pattern horizons, a comparative analysis across horizon types, and enriched Go collector implementation with additional scenario directories and storage migrations. Validated on Minikube and AKS 1.32.10. Full implementation at https://github.com/opscart/k8s-causal-memory