Monitor Celery Beat (and background jobs)

If Celery Beat stops scheduling tasks, you often won’t know until data is wrong or customers complain. UpDog heartbeat monitoring gives you a clean signal: the task checked in on time (or it didn’t).

Celery Beat monitoring using UpDog heartbeat checks

What you can do with UpDog + Celery

Celery’s failure modes are sneaky: Beat is running but not scheduling, the broker is unhealthy, workers are stuck, tasks are timing out, or a deploy broke imports. Heartbeat monitoring doesn’t replace logs—it replaces guessing.

  • Alert when scheduled tasks stop running (missed check-ins).
  • Alert when tasks are running late (backlog, slow dependencies).
  • Route alerts to the right channel (email by default; on-call/SMS for critical tasks).

How to set it up (step-by-step)

  1. Create a heartbeat monitor in UpDog for a specific task (recommended) or for a “scheduler is alive” ping.
  2. Copy the check-in URL.
  3. Add the ping after successful completion of the task. (If the task fails, don’t ping.)
  4. Set an expected interval and a grace window that matches real execution time.
  5. Send a test run and confirm the check-in is visible in UpDog.

Example: ping UpDog after a successful task

# inside your Celery task
import requests

def run_task():
    # ... do work ...
    requests.get("https://updog.watch/heartbeat/your-check-in-url", timeout=5)

Use a short timeout. If you don’t want external calls in tasks, ping from a wrapper job after success.


Best practices

Monitor the outcome, not the intent

Ping UpDog after the task completes successfully. That turns “task was scheduled” into “task finished.”

Pick a small set of critical tasks

Not every periodic task deserves a page. Start with the tasks that impact payments, user-visible data, or core business operations.

Split by environment

Keep staging/dev heartbeats out of production routes. You want clean signal, not constant background noise.


Troubleshooting

  • Missed check-ins after deploy: confirm the ping code still runs and the check-in URL is unchanged.
  • Everything is late: check broker health, worker concurrency, and dependency latency.
  • Intermittent misses: check outbound network/DNS from the worker environment and timeouts.
  • Alerts are too frequent: increase the grace window or alert only when lateness exceeds your tolerance.

FAQ

How do I monitor Celery Beat scheduled tasks?

Add a heartbeat ping after successful task completion and alert when check-ins are late or missing.

One heartbeat per task or one for the scheduler?

Start with one per critical task. Scheduler-level heartbeats are a nice extra, but task-level heartbeats catch silent failures better.

Can heartbeat monitoring catch stuck workers or backlog?

It catches the symptom: tasks run late or stop completing. Use logs/metrics for the root cause.

How do I reduce false alarms for Celery Beat monitoring?

Use realistic schedules, add a grace window, and page only for meaningful delays.

Simplest way to add a heartbeat ping from Python?

Make a short-timeout HTTP request to the UpDog check-in URL after success.


Related features

Related use cases

Catch silent background job failures

Heartbeat checks are the simplest “is the job actually running?” signal.

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