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This article primarily addresses infrastructure challenges for running AI agents, specifically focusing on isolated microVM environments that provide necessary security boundaries and resource management for autonomous tasks. While it involves containerization technology, the core subject matter is the operational framework required to safely deploy and execute AI agents at scale, which falls squarely within the domain of machine learning infrastructure.
Trust Docker for the agents you don’t

At WeAreDevelopers, Docker introduced Cloud Sandboxes, the open Sandbox Kit specification, and a commitment to bring Kits to the CNCF for neutral governance.
Docker Cloud Sandboxes are here. At WeAreDevelopers World Congress North America, we launched a way for developers to start agent work in a safe way on their laptop, move to the same microVM environment on Docker-managed cloud compute, and bring the results back. Longer tasks can keep running, even after you close your laptop. That launch reflects a bigger ambition. We want developers to be able to give agents useful work with confidence in the systems around them. That means a place for the agent to run, clear limits on what it can access, and a way to inspect what happened. It also means keeping the freedom to choose the agent and model that fit the job. We brought that message to San Jose with Cloud Sandboxes, the open Sandbox Kit specification, and a commitment to bring the spec to the Cloud Native Computing Foundation (CNCF). Three mainstage talks explored what trust requires in practice. Four workshops gave developers time with the tools. Across the Docker Pavilion and booth, customers, partners, and community members brought their own experience and questions into the discussion. A year after announcing our partnership to bring WeAreDevelopers to North…
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