Build a 24/7 Operations Monitor With OpenClaw (Uptime, Errors, Revenue — All in Telegram)

Every SaaS founder has the same nightmare: your app goes down while you sleep and you find out from angry customers 6 hours later.

Traditional monitoring tools (Datadog, PagerDuty, Uptime Robot) send alerts. That's it. You still need to wake up, diagnose, and fix. An OpenClaw ops agent does all four: detect, diagnose, attempt to fix, and report.

What the Ops Agent Monitors

Infrastructure Health

• Uptime checks — HTTP ping every 60 seconds. If your site returns anything other than 200, the agent knows.
• Response time — If average response time exceeds your threshold (e.g., 500ms), the agent alerts you before it becomes an outage.
• SSL certificate expiry — 30, 14, and 7 days before expiry. Never get caught with an expired cert again.
• Disk space — Alert at 80% full. Panic at 90%.
• Memory/CPU — Sustained high usage means something is wrong.

Application Health

• Error rates — If your error rate spikes above 1%, something broke.
• API response codes — Track 4xx and 5xx trends.
• Queue depth — If background jobs are backing up, the agent notices.
• Database connections — Connection pool exhaustion causes cascading failures.

Business Metrics

• Revenue — If daily revenue drops below the 30-day average by more than 30%, something is wrong (broken checkout? payment gateway down?).
• Signups — Zero signups for 6 hours when you usually get 2/hour? Investigate.
• Conversion rate — A sudden drop means your funnel is broken somewhere.

The Alert Hierarchy

Not every alert needs the same response. The agent triages:

🟢 Info (no action needed)

"Daily report: 99.97% uptime, avg response 142ms, 23 signups, €1,247 revenue. All systems normal."

Sent once daily at 8 AM. You glance at it in 5 seconds.

🟡 Warning (investigate when convenient)

"Response time averaging 420ms (usually 150ms). No errors yet. Likely cause: database slow queries. I'll monitor and escalate if it gets worse."

Sent when thresholds are approaching. No urgency, but awareness.

🔴 Critical (needs attention now)

"Site returning 503 errors. Started 2 minutes ago. I've restarted the application server. Checking if that resolved it..."

30 seconds later:

"Restart fixed the issue. Site is back to 200 OK. Response time normalizing. Root cause: memory leak in the worker process (RSS hit 1.8GB before crash). This is the 3rd time this month — you might want to investigate the worker memory management."

The agent doesn't just alert — it acts, then reports what it did.

Self-Healing Actions

For known failure patterns, the agent can fix things without waking you:

Each auto-fix reduces your 3 AM wake-ups from "fix it now" to "review what happened in the morning."

The Morning Ops Brief

Every morning at 8 AM, you get a Telegram message:

📊 Daily Ops — March 9, 2026

Uptime: 99.98% (2 min downtime at 3:14 AM — auto-recovered)
Avg response: 148ms
Errors: 3 (all 404s — broken links from old blog posts)
Deploys: 1 (v2.3.2 at 14:30 — successful)

Revenue: €1,340 (+8% vs 7-day avg)
Signups: 27 (normal)
Churn: 1 ([email protected] — reason: switching to enterprise plan)

⚠️ Memory leak recurring in worker process.
3 auto-restarts this month. Recommend investigating.

No action needed today. Have a good Monday! ☕

One message. Everything you need. 10 seconds to read.

Setting Up the Ops Agent

Step 1: Define What to Monitor

Start minimal. You can always add more:

## Monitoring Configuration

### Uptime
- URL: https://yourapp.com
- Check interval: 60 seconds
- Alert threshold: 2 consecutive failures

### Performance
- Response time warning: >300ms average (5-min window)
- Response time critical: >1000ms average
- Error rate warning: >0.5%
- Error rate critical: >2%

### Business
- Revenue alert: <70% of 7-day daily average
- Signup alert: 0 signups in 6 hours (during business hours)

Step 2: Connect Your Data Sources

The agent needs read access to your monitoring data. Options:

• Direct HTTP checks — Agent pings your site itself
• Webhook receiver — Your existing tools (Sentry, Datadog) send events to the agent
• API polling — Agent queries your Stripe dashboard, Google Analytics, etc.
• Log watching — Agent reads your application logs for patterns

Step 3: Define Auto-Fix Playbooks

For each known failure, write a playbook:

## Playbook: App Server Unresponsive

Trigger: 3 consecutive health checks fail
Actions:
1. Log the failure timestamp and last known status
2. Execute: docker restart app-server
3. Wait 30 seconds
4. Check health endpoint
5. If healthy: report recovery, log resolution
6. If still failing: escalate to human with full diagnostic info

Step 4: Set Notification Channels

• Critical alerts → Telegram (with sound)
• Warnings → Telegram (silent)
• Info → Daily digest only
• Auto-fix confirmations → Daily digest

Cost of the Ops Agent

Compare to:

• Datadog: $15-23/host/month
• PagerDuty: $21/user/month
• New Relic: $25/user/month
• UptimeRobot Pro: $7/month (monitoring only, no diagnosis or fix)

The agent costs less than most monitoring tools — and it does more.

The Escalation Chain

When the agent can't fix something:

1. Agent attempts auto-fix from playbook
2. If auto-fix fails → sends detailed diagnostic to Telegram
3. If no response in 15 minutes → sends follow-up with increased urgency
4. If no response in 30 minutes → calls your phone (via Twilio integration)
5. If no response in 60 minutes → alerts your backup contact

You define the chain. The agent follows it relentlessly. No alert fatigue, no missed pages, no "I thought someone else was handling it."

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Sleep while your agent watches the servers. Deploy an ops agent on ClawPort — detect, diagnose, fix, and report. $24/month for 24/7 operations monitoring.