OpenClaw is powerful, but it is also an autonomous agent that can execute code, make network calls, and interact with external systems. Running something like that directly on your workstation or something shared felt risky to me.
Kubernetes is a good fit here because it gives you isolation by default. You can constrain resources, control network access, manage secrets properly, and limit the blast radius if something goes wrong.
I built a reproducible Helm chart that deploys OpenClaw with sensible defaults for isolation!
Would love feedback from people running AI agent workloads in Kubernetes.
Repo: https://github.com/serhanekicii/openclaw-helm Docs: https://serhanekici.com/openclaw-helm.html