DevOps
7.0
Kubernetes teams trust automation to ship code but not to touch CPU, and AI is raising the stakes
Survey of 321 Kubernetes practitioners reveals a trust asymmetry: 82% trust automated deployments, but only 27% allow auto-applied CPU/memory changes even within guardrails. As AI inference scales on Kubernetes, this hesitation around resource optimization becomes increasingly expensive, forcing teams to choose between safety margins and cost efficiency.
Read article →