How Cloud Native Became the AI Native Stack

Enterprise AI inherits the distributed-systems problems that cloud native teams have spent years solving. Deploying models and agents securely and reliably requires orchestration, identity, policy enforcement, observability and cost controls, not just a capable model or a successful demonstration.

The whitepaper How Cloud Native Became the AI Native Stack explains why containers, Kubernetes, GitOps and platform engineering provide a foundation for that work. It makes the case that AI is extending the cloud native operating model rather than replacing it, with production discipline determining whether intelligent workloads become repeatable enterprise services.