AI agents might need their own Kubernetes moment!

Containers became powerful when organizations figured out how to operate them at scale. Looking at AI agents today, I get a similar feeling. The industry seems obsessed with building agents, but much less focused on deployment pipelines, rollback strategies, governance, access controls, observability, and lifecycle management. If companies eventually run hundreds of agents across different teams and environments, those operational problems become more important than the framework itself. Makes me wonder whether we're still waiting for the Kubernetes equivalent of the agent ecosystem and what that actually looks like.