MacCloud offers dedicated physical Mac mini hosts with regional egress. When you place OpenClaw on an instance, separate the light control plane from heavy work: orchestration can be lean; build and IO-heavy steps need enough disk and bandwidth.
1. Instance, region, and bandwidth
If OpenClaw pulls artifacts or calls external APIs often, pick a region close to your users or dependencies (Singapore, Tokyo, Seoul, Hong Kong, US West, etc.—see the console). On the pricing page, confirm bandwidth tiers can absorb spikes so a build rush does not saturate egress.
2. Storage and persistence
Keep state, caches, and build outputs under explicit data volume paths, and sync regularly to object storage or a private registry. Before rebuilds or migrations, confirm wipe policies with the console and support so you do not lose unsynced data.
3. SSH, VNC, and unattended operation
Use launchd for long-running services; reserve VNC for human triage. If power actions in the console flow through tickets or maintenance windows, design OpenClaw for graceful shutdown (flush in-flight work to disk or another queue) to avoid hard cuts.
4. Observability, alerts, and support
At minimum log exit codes plus host CPU, memory, and disk. When you open a ticket, attach timestamps, log snippets, and repro steps—far better than “sometimes slow”. Day-to-day how-tos also live in the help center.
5. Aligning with billing cycles
Day- or week-billed instances suit bursty work or peak fill-in; if a critical path must span renewals, plan longer plans or split jobs so you are not cut off at the boundary.
6. Self-check list
- Did you measure latency from the real pipeline, not just a map pin?
- Do you have separate cleanup for logs and DerivedData?
- Can launchd restart after crashes with a finite cap, not an infinite loop?
- Do you have a standard log template when talking to support?
To wire the same capabilities into CI, continue with GitHub Actions integration; for multi-step orchestration, see automation scenarios.
