Do I have to rewrite my Python pipeline to add monitoring?

No. pip install seerpy and wrap the existing function with seer.monitor using the same name as the dashboard monitor. The wrapper does not swallow exceptions or change the process exit code.

What is heartbeat monitoring for cron jobs?

Heartbeat monitoring expects a job to check in on a schedule. If the 6am backup never starts, wrap-only monitoring stays silent. A heartbeat alerts on the missed window, which is how you catch jobs that did not run at all.

How is this different from Healthchecks.io or Cronitor HTTP pings?

Ping-based cron monitors treat a dropped HTTP request as a failed job. SEER buffers telemetry in ~/.seer/queue and replays it when the network returns, so a flaky network is not a false failure. See the SEER vs Healthchecks.io and Cronitor comparison.

Can cron job monitoring send Slack and email alerts?

Yes. The free plan includes email and Slack. Fail the job on purpose once after setup so you know the alert path works before you trust it in production.

How to Monitor Cron Jobs and Data Pipelines in 5 Minutes

TL;DR / Quick Answer

Cron job monitoring is not a server ping. Create a monitor, wrap the Python pipeline with seer.monitor or wrap the cron command with seer run, then add heartbeat monitoring so a missed schedule is an alert, not a surprise. Fail it on purpose once so Slack and email actually fire.

Most teams find out a pipeline died when someone asks where the report is. Not from an alert. From a Slack message at 10am that starts with "hey, did sales run?"

That is a cron job monitoring problem, not an uptime problem. The box is fine. The work never checked in. Silent cron failures are the default unless the job proves it ran.

You do not need a new observability stack for that. You need the job to check in.

Why cron job monitoring is not uptime monitoring

A green host check answers one question: is the server alive? It does not tell you if the 6am backup started, finished, or completed in eight seconds instead of ten minutes.

HTTP ping monitors (Healthchecks, Cronitor, a curl at the end of crontab) get you closer, until the network drops and a missed ping looks like a failed job. SEER vs Healthchecks.io and Cronitor is the longer version. Short version: SEER records the run locally in ~/.seer/queue and replays it, so a flaky network is not a false failure.

Set up a pipeline monitor (about 2 minutes)

Go to seer.ansrstudio.com, create a monitor, and name it something you will type in code. daily-sales-report is fine. job1 is not.

The dashboard name has to match the wrapper name. If they do not match, you are monitoring nothing and wondering why the dashboard is empty.

Free plan is 3 monitors, email, and Slack. That is enough to wire cron job monitoring and see if it works. Full walkthrough is in the quickstart.

Monitor a Python data pipeline

Install the SDK (seerpy docs):

pip install seerpy

Wrap the existing work. Three extra lines, same name as the monitor:

from seerpy import Seer

seer = Seer(api_key="YOUR_SEER_API_KEY", auto_replay=True)

with seer.monitor("daily-sales-report", capture_logs=True):
    run_report()

That is pipeline monitoring: start, finish, duration, logs, exception if there is one. The wrapper does not swallow the error and it does not change your exit code. If the report blows up, it still blows up. SEER just hears about it.

If SEER's API is unreachable, the job still runs. Telemetry lands in ~/.seer/queue and auto_replay=True flushes it later.

Monitor a cron job without rewriting it

Same idea, no code change. Point seer run at whatever already runs (CLI docs):

seer run daily-sales-report python report.py

Crontab is the same wrapper around the same binary:

0 6 * * * seer run nightly-backup /usr/local/bin/backup.sh

Prove Slack and email alerts work

Do not wait for a real outage to find out Slack is not connected. Raise one:

with seer.monitor("daily-sales-report", capture_logs=True):
    raise RuntimeError("seer test")

Check Slack and email. If nothing shows up, the monitor name is wrong or notifications are not hooked up. Fix that now, not at 6am.

Add heartbeat monitoring for missed runs

Wrapping a job only reports when the process actually starts. If cron never fires, nothing wraps, and wrap-only monitoring is silent. Same failure mode as the job you thought you were watching.

Set a heartbeat / expected schedule on the monitor so SEER notices the miss. That is the difference between "it crashed" and "it never ran." Setup is in heartbeat monitoring.

If a job matters, you should be able to answer three things without guessing:

Did it run?
Did it finish?
Did it behave normally?

An 8-second success on a 10-minute backup is not success. That is the job skipping the actual work and still exiting 0.

Frequently asked questions about cron job monitoring

How do I monitor a cron job?

Wrap the existing command with seer run and put the same monitor name in the dashboard. Add a heartbeat so a missed 6am window pages you.

Do I have to rewrite my Python pipeline?

No. pip install seerpy and wrap the function you already have. Monitoring does not mask the exception or change the exit code.

Heartbeat monitoring vs wrapping the job?

Wrap answers "did this process run and finish?" Heartbeat answers "did it show up on schedule?" You want both on anything that is supposed to run at 6am.

Why not just curl a Healthchecks or Cronitor URL?

That works until a dropped HTTP request looks like a failed backup. SEER queues the result locally and replays it. Details in the comparison.

Ready to stop guessing if your jobs ran?

SEER monitors cron jobs, scripts, and data pipelines. It catches failures, missed executions, and runtime anomalies before they become the 10am Slack thread.

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