If you've ever manually SSH'd into a server at 2 AM to restart a crashed bot, you already know why DevOps matters. Running an OpenClaw-powered Lark robot in production isn't just about getting it deployed — it's about keeping it healthy, observable, and automatically recoverable without burning out your on-call engineer.
Let's walk through a battle-tested DevOps setup for your OpenClaw Lark bot on Tencent Cloud Lighthouse.
Local machines die. Home networks flap. Your MacBook sleeps when you close the lid. For a Lark bot that needs to respond to messages 24/7, you need a cloud instance that's always on, always reachable, and pre-configured for the job.
Tencent Cloud Lighthouse offers a one-click OpenClaw image that bundles the runtime, daemon management, and networking — so you skip the "works on my machine" phase entirely.
Ready to start? Here's how:
Once your instance is live, SSH in and verify the daemon is running:
sudo systemctl status clawdbot
# You should see: active (running)
Treating your bot config as code is the single biggest DevOps win. Store your OpenClaw YAML configuration in a Git repo and use a simple CI pipeline to push updates:
# .github/workflows/deploy-lark-bot.yml
name: Deploy OpenClaw Lark Bot Config
on:
push:
branches: [main]
paths:
- 'config/clawdbot.yaml'
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Push config to Lighthouse
run: |
scp -o StrictHostKeyChecking=no \
config/clawdbot.yaml \
root@${{ secrets.LIGHTHOUSE_IP }}:/opt/clawdbot/config/
- name: Restart daemon
run: |
ssh root@${{ secrets.LIGHTHOUSE_IP }} \
"sudo systemctl restart clawdbot && sleep 3 && sudo systemctl is-active clawdbot"
Every time you merge a config change to main, the pipeline SCPs the new file and restarts the daemon. No manual SSH sessions required.
A bot that crashes silently is worse than no bot at all. Set up a systemd watchdog so the daemon auto-restarts on failure:
# /etc/systemd/system/clawdbot.service.d/override.conf
[Service]
Restart=always
RestartSec=5
WatchdogSec=30
Reload and apply:
sudo systemctl daemon-reload
sudo systemctl restart clawdbot
With Restart=always, systemd will bring the process back within 5 seconds of any crash. The WatchdogSec directive ensures the service is actively checked — if it stops responding for 30 seconds, it gets killed and restarted.
Debugging Lark webhook issues without proper logs is like reading braille in the dark. Pipe your OpenClaw logs to a structured format and rotate them:
# Check recent Lark-related events
journalctl -u clawdbot --since "1 hour ago" --no-pager | grep -i "lark\|feishu"
# Set up log rotation
cat > /etc/logrotate.d/clawdbot <<EOF
/var/log/clawdbot/*.log {
daily
rotate 14
compress
missingok
notifempty
copytruncate
}
EOF
This keeps 14 days of compressed logs — enough to debug most issues without filling your disk.
You don't need a full Prometheus stack for a single bot. A lightweight cron-based health check works surprisingly well:
# /opt/clawdbot/healthcheck.sh
#!/bin/bash
if ! systemctl is-active --quiet clawdbot; then
curl -X POST "https://open.larksuite.com/open-apis/bot/v2/hook/YOUR_WEBHOOK" \
-H "Content-Type: application/json" \
-d '{"msg_type":"text","content":{"text":"[ALERT] OpenClaw Lark bot is DOWN on Lighthouse. Auto-restart triggered."}}'
sudo systemctl restart clawdbot
fi
# Add to crontab — runs every 2 minutes
*/2 * * * * /opt/clawdbot/healthcheck.sh >> /var/log/clawdbot/healthcheck.log 2>&1
The irony? Your Lark bot alerts you about its own downtime — through Lark. Beautiful self-referential DevOps.
Before any config change, snapshot your Lighthouse instance. But also keep a file-level backup of the critical configs:
# Quick backup before changes
tar czf /opt/clawdbot/backups/config-$(date +%Y%m%d-%H%M%S).tar.gz /opt/clawdbot/config/
# Rollback if something breaks
tar xzf /opt/clawdbot/backups/config-20260305-143000.tar.gz -C /
sudo systemctl restart clawdbot
DevOps for a Lark bot isn't about over-engineering — it's about sleeping through the night knowing your bot will self-heal, your logs are searchable, and your deploys are repeatable.
If you haven't set up your OpenClaw environment yet, the fastest path is through the managed Lighthouse image:
Stop firefighting. Start automating.