Two tracks: CLI first, Docker for production
When you self-host OpenClaw, use the official or distribution CLI to bind accounts, point at model endpoints, and run health checks so outbound DNS, TLS, and API quotas are proven before you automate anything. Then move to Docker or Compose to pin the process, volumes, and restart policy. Document the exact environment matrix you used during CLI setup so Compose inherits the same variables without silent drift. Splitting “bad config” from “bad container wiring” makes incidents shorter and rollbacks safer after you go live.
CLI install: what to verify immediately
On bare metal or a dev workstation, confirm version and CPU architecture (amd64 vs arm64), a writable config directory, and plain HTTPS reachability to your model provider. If the org routes traffic through a forward proxy, inject proxy variables in both your interactive shell and the daemon environment — otherwise you get false negatives where the terminal works but the supervised process times out.
env_file, and narrow CI visibility to the pipelines that truly need those credentials.
Docker self-hosting: volumes, ports, upgrades
At minimum separate a config volume from a workspace volume so image upgrades do not wipe state. When host ports collide, change the published mapping first. Add explicit container health checks and a sane restart policy so the orchestrator does not flap on slow cold starts. For upgrades follow pull image → read migration notes → short maintenance window, instead of blindly applying latest in production.
Triage table: symptoms and fixes
| Symptom | Check first | Direction |
|---|---|---|
| Gateway runs but UI is blank or 502 | Reverse proxy path, WebSocket | Match path prefix & upgrade headers |
| Config missing after restart | Volume mounts, path drift | Reconcile compose volumes vs docs |
| Intermittent auth failures | Clock skew, token rotation | NTP, TTL, audit logs |
| Model or tool calls very slow | Egress region & path | Closer region, cache, or dedicated line |
Business patterns we see in production
(1) Support and ticketing assist — deploy the gateway on the intranet, call public model APIs from a controlled egress, keep transcripts and knowledge bases inside policy boundaries. (2) Internal engineering tools — wire the gateway to Git and docs; watch shared rate limits when CI and agents use the same outbound path. If pipelines are also slowed by huge repos, align Git-side optimizations with your rollout; see Learn more: large repos & CI — partial clone, sparse checkout, or dependency caching? (3) Hybrid cloud — run the control plane yourself and consume hosted inference APIs, using network policy to pin callback URLs.
Pre-launch checklist
- Backup: exported config and any embedded DB on a schedule you have actually restored once.
- Observability: container logs, host CPU and RAM, and gateway latency on one dashboard.
- Security: admin interfaces only on trusted networks; anything on the public internet terminates TLS and uses tight access control.
FAQ
Why a Mac mini is a practical home for this gateway
Always-on gateways reward quiet, efficient, stable hardware. Mac mini M4 pairs Apple Silicon unified memory with very low idle power — often on the order of a few watts — so multiple containers and local utilities can share one box without sounding like a rack server. macOS gives you native Unix tooling: Homebrew, Docker Desktop, and SSH work without driver rabbit holes, which matters when you iterate on the same machine you use for builds.
On security, Gatekeeper, SIP, FileVault, and predictable system updates reduce the blast radius of misconfiguration and commodity malware compared with many Windows deployments. For total cost of ownership, a compact fanless-friendly footprint and long software support curves often beat a DIY tower you have to babysit. If you want the CLI-and-Docker workflow from this article on a machine you trust in the office or lab, Mac mini M4 is one of the most balanced starting points available today — learn more on the clonzone home page.