Monitor ETL Pipeline Cron Jobs

The Problem

ETL pipelines involve multiple stages (extract, transform, load). A failure at any stage can produce incomplete or corrupted data, but the job may still exit with code 0.

The Solution

Add CronRabbit monitoring at the pipeline level and optionally at each stage. Duration tracking reveals performance regressions before they become failures.

Multi-Stage Monitoring

For complex pipelines, create a separate CronRabbit monitor for each critical stage. This pinpoints exactly which stage failed.

Code Examples

ETL pipeline with monitoring

Python

import requests

PING = "https://ping.cronrabbit.com/etl-id"

def run_etl():
    requests.get(f"{PING}/start", timeout=5)
    try:
        extract_from_api()
        transform_data()
        load_to_warehouse()
        requests.get(PING, timeout=5)
    except Exception:
        requests.get(f"{PING}/fail", timeout=5)
        raise

Related Guides

Use Cases

Monitor Database Backup Cron Jobs

Python

How to Monitor Python Cron Jobs with CronRabbit

Common Errors

Prevent Overlapping Cron Job Runs

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