Currently, AI developers wanting to experiment with a custom, sovereign control plane (sam-one) are forced into a DevOps persona. The documentation tells them how to run it locally (with Cloudflare tunnels) or requires them to manually configure cloud infrastructure (Cloud Run, Kubernetes, Postgres, Secret Manager, persistent volumes) for a stateful production deployment
. We are missing a seamless, 1-click deployment UX—similar to Vercel, Fly.io, or SkyPilot—that empowers developers to spin up a agent mesh in their own cloud account without writing Terraform or managing Kubernetes.
We should provide a developer-first deployment experience that abstracts the cloud infrastructure entirely.
Currently, AI developers wanting to experiment with a custom, sovereign control plane (sam-one) are forced into a DevOps persona. The documentation tells them how to run it locally (with Cloudflare tunnels) or requires them to manually configure cloud infrastructure (Cloud Run, Kubernetes, Postgres, Secret Manager, persistent volumes) for a stateful production deployment
. We are missing a seamless, 1-click deployment UX—similar to Vercel, Fly.io, or SkyPilot—that empowers developers to spin up a agent mesh in their own cloud account without writing Terraform or managing Kubernetes.
We should provide a developer-first deployment experience that abstracts the cloud infrastructure entirely.