Securing the Cloud-Native Edge

As organizations adopt AI workloads — RAG databases, fine-tuned models, agent state — the traditional Kubernetes backup model falls short. Vector stores, model weights, and pipeline metadata are now mission-critical artifacts requiring application-aware protection. Key practices discussed include immutable backups to defend against ransomware targeting AI assets, policy-driven retention distinguishing transient inference caches from training corpora, and namespace-level protection enforcement via SUSE Rancher. The broader theme is using migrations off legacy virtualization as an opportunity to rebuild resilience around cloud-native primitives like GitOps, declarative policy, and immutable artifacts — covering VMs, containers, and AI workloads under a unified operational model.