Agent Substrate adds production controls for Kubernetes AI agents

Running AI agents in production on Kubernetes requires specific platform controls beyond standard deployments, including named agent identities, default-deny egress, tool-call guardrails, demand-based scaling signals rather than CPU, and session-scoped short-lived secrets. The author argues that without these architectural constraints, agent fleets risk runaway costs, inadequate security isolation, and lost audit records during failures. Open article →