product story monitoring devops

Why We Built Telemetry.host: A Better Way to Monitor Cron Jobs

The story behind building a modern monitoring service for the most critical and most neglected part of your infrastructure

Telemetry.host Team •

Three years ago, I was debugging why our nightly database backups hadn’t run in two weeks. The cron job was configured correctly. The script worked fine when run manually. But silently, without any alerts, it had been failing every night.

The cause? A full /tmp partition that prevented the backup script from creating temporary files. The script exited with an error code, but nobody was listening.

That’s when I realized: cron job monitoring is broken.

The Cron Monitoring Gap

Cron is everywhere. It runs your backups, rotates your logs, sends your reports, and keeps your systems healthy. It’s the invisible infrastructure that keeps the internet running.

But monitoring cron jobs has always been an afterthought:

Traditional Uptime Monitors are designed for web services-they check if a URL responds. But cron jobs don’t have URLs. They’re batch processes that run periodically and produce output.

Log Aggregation Tools capture output, but they’re not designed for monitoring. You have to manually search logs, set up complex queries, and hope you notice when something breaks.

Email Alerts are cron’s default notification mechanism and they’re terrible. Your inbox fills with thousands of “[Cron] Success” emails that you learn to ignore. When a real failure happens, it drowns in the noise.

The Genesis of Telemetry.host

After that backup incident, I looked for a better solution. I tried healthchecks.io (great service!), but it was missing features I needed:

  • No way to capture error logs
  • No AI-powered false positive reduction
  • No custom status codes
  • Limited log retention

I tried building something with existing tools: Prometheus, Grafana, custom scripts-but it was complex and fragile.

So I built Telemetry.host. Not as a product initially, just as a tool for myself. Something simple that would:

  1. Accept check-ins from any script via simple HTTP POST
  2. Capture full context of what happened (logs, duration, metadata)
  3. Alert intelligently only when something actually goes wrong
  4. Show historical trends to spot degrading performance

The First Version

The MVP was surprisingly simple:

# Original proof-of-concept
@app.post("/ping/{monitor_id}")
async def checkin(monitor_id: str, request: Request):
    # Store check-in
    await db.checkins.insert({
        "monitor_id": monitor_id,
        "timestamp": datetime.now(),
        "body": await request.body(),
        "status": request.headers.get("X-Status", "success")
    })
    
    # Update monitor last_checkin
    await db.monitors.update(monitor_id, {"last_checkin": datetime.now()})
    
    return {"status": "ok"}

That’s it. POST your logs, and we’ll store them. Simple.

I added a basic dashboard to view check-ins and a worker to alert on missed timeouts. Within a week, I had my entire infrastructure monitored.

What Users Taught Us

When I shared it with friends, they loved the simplicity but wanted more:

“Can it auto-create monitors from the ping URL?” → That became auto-provisioning with project keys

“These SMART disk reports trigger false positives constantly” → That led to AI-powered log analysis

“I want to monitor different environments separately” → That became team collaboration features

“Can I see trends over time?” → That became the analytics dashboard

The AI Pivot

The AI-powered log analysis was initially a hack to solve my own SMART monitoring problem. SMART reports are full of attributes named “Error”, “Fail”, and “Uncorrectable” that almost always have zero values (which is good).

Rule-based systems couldn’t handle this context. But LLMs could understand it immediately:

“The attribute name contains ‘Uncorrectable’ but the raw value is 0, indicating no actual uncorrectable sectors. This is normal.”

When I added this feature, false positives dropped by 95%. Users stopped ignoring alerts because they knew every alert was real.

This was a watershed moment: AI isn’t just a feature-it’s the foundation of intelligent monitoring.

Design Principles

As we built Telemetry.host, several principles emerged:

1. Simplicity First

Monitoring should be one curl command, not a 10-page setup guide. If it’s not dead simple, people won’t use it.

# This is all you need
curl -X POST https://telemetry.host/ping/YOUR_ID

2. Context is King

Don’t just know that something failed-know why. Capture logs, duration, metadata. Give engineers everything they need to debug at 3 AM.

3. Reduce Alert Fatigue

False positives destroy monitoring systems. People learn to ignore alerts, and real problems slip through. AI helps us maintain a high signal-to-noise ratio.

4. Monitoring as Code

Infrastructure is code. Deployments are code. Why aren’t monitors? Auto-provisioning means your monitoring lives in your scripts, versioned with your code.

5. No Surprises

Free tier is really free (no credit card). Paid tiers have clear limits. No sudden bills or hidden costs.

The Challenges

Building a monitoring service isn’t trivial:

Reliability: When everything else fails, monitoring must work.

Performance: Ingesting thousands of check-ins per second while analyzing logs with AI requires careful optimization.

Cost: LLM calls aren’t free. We use model routing to balance cost and accuracy.

What’s Next

We’re working on:

Predictive Alerting: “This disk will fail in ~30 days based on error trends”

Smarter Learning: Models that improve from your feedback

Advanced Analytics: Anomaly detection, correlation analysis, trend forecasting

Integration Ecosystem: Native integrations with popular tools and platforms

The Bigger Vision

Telemetry.host isn’t just about monitoring cron jobs-it’s about making infrastructure observable and reliable.

Every system has periodic tasks. Every task can fail silently. Every failure has context that can be captured and analyzed.

Our vision is a world where:

  • Nothing fails silently
  • Every alert is actionable
  • Debugging is data-driven
  • Monitoring is effortless

Try It Yourself

We’re still a small team, but we’ve monitored millions of check-ins for thousands of users. From solo developers to Fortune 500 companies, people trust us with their critical infrastructure.

If you’re tired of cron jobs failing silently, give us a try:

And if you have feedback, use the feedback button in the dashboard. We read every submission and respond to most within 24 hours.

Thanks for reading. If you’ve made it this far, you clearly care about infrastructure reliability. That makes you our people. 🚀

  • The Telemetry.host Team