AI is changing expectations around infrastructure and operations , including Kubernetes management. When models run close to the data they use, deployment, scaling, and governance responsibilities tend to shift to platform teams. And as clusters, environments, and operational signals continue to multiply, manual operations often strain under the added weight. AI may simultaneously provide opportunities to lighten this growing load. Agentic software can now observe a system, reason about it, and act within predefined limits. Ultimately, these platforms’ value depends on the quality of the...

Source: The New Stack