Monitor ETL Pipeline Cron Jobs
Catch pipeline failures before downstream systems break
The problem
ETL jobs feed dashboards, data warehouses, and downstream APIs. When a sync silently fails or slows down, stale data propagates across your entire stack — and you hear about it from customers, not monitoring.
# Wrap your ETL script
$ crond-agent wrap --name "etl-orders" -- python3 /opt/etl/sync_orders.py
[crond.io] monitoring "etl-orders" (every 1h)
[crond.io] ping sent ✓ (exit 0, 2m 14s)
[crond.io] ping sent ✓ (exit 0, 2m 08s)
[crond.io] ping sent ✓ (exit 0, 8m 41s) ⚠ slow
# Duration spike detected — investigate before it fails
How crond.io helps
crond-agent wraps your ETL scripts and reports every execution to crond.io. Duration trend tracking spots degradation before jobs start timing out, and failure alerts fire the moment an exit code is non-zero.
- ✓Duration trend analytics — spot slow degradation before timeouts
- ✓Immediate alerts on non-zero exit codes
- ✓Stdout/stderr capture for quick debugging without SSH
- ✓Works with Python, Node.js, shell scripts, dbt, Airflow tasks
- ✓Grace period prevents false alarms during legitimate long runs
Start monitoring in 60 seconds
Free tier includes 10 monitors. No credit card required.
$get-started --free