Six Production Guardrails for Enterprise AI Applications on Kubernetes

T2Covered by 1 source · first reported by DevOps.com / Cloud Native Now at 05 Oct, 20:38 UTC

Kubernetes is a strong runtime foundation, but production AI also needs controls for slow startup, uneven demand, streaming connections, credentials, telemetry and rollback. A prototype can look healthy with one developer, one prompt and one model endpoint. Production adds variable latency, costly…