In today’s agentic era, modern cloud applications are evolving from a set of passive tools to fleets of autonomous digital workers that reason, plan, and take action across a wide range of tasks. For platform engineering teams designing these environments, the simplest approach is often to deploy an agent on to an open-source framework like OpenClaw and Hermes running on a virtual machine (VM). But as those workloads move into production and scale to support additional users or use cases, teams quickly hit a critical challenge: AI agents tend to operate in bursts; for a while they actively pro