Lobster Trap: OpenClaw in Containers from Local to K8s and Back
summary
Demo shows a reproducible pipeline: one container image runs locally with Podman and on Kubernetes by flipping a flag, you spin up a sub agent in two seconds with a Podman command, secrets use Podman secrets + OpenClaw secret refs, volumes provide backup and PVC parity, and an Nvidia team runs ten OpenClaws in Kubernetes doing model evals that used to take six people. Tools: Podman, Kubernetes, OpenClaw, volumes, secret refs.
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chapters (15)
- 0:00Introduction and background on Sally Ann O'Malley
- 1:25Discovering and experimenting with OpenClaw
- 2:35Benefits of running AI agents in containers
- 3:05Introducing Forever Claw and sub-agents
- 5:52Using containers for agent configuration and tools
- 6:21Managing secrets with Podman and Kubernetes
- 8:10Scaling agent workloads with Kubernetes
- 9:15Nvidia team case study: Model evaluations
- 11:09Backup, recovery, and persistence with volumes
- 11:47Vision for workplace agent standardization
- 14:14Local demo: Running OpenClaw with Podman
- 16:45Choosing providers and configuring settings
- 17:50SSH sandbox features
- 18:22Running the Podman command and checking agent status
- 20:52Transitioning agent workloads to Kubernetes and OpenShift
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