Long-form writing on Celery monitoring in production: what to watch for, the failure modes that catch developers off guard, and how to detect them before your users do.
Why heartbeat-based worker monitoring is the only approach that catches alive-but-not-processing workers, the five ways workers die silently in production, and the out-of-order arrival trap that breaks naive implementations.
Why beat schedule monitoring is the most overlooked part of Celery observability, what proper monitoring covers, the six ways beat fails in production, and how to detect each.
What to monitor, how to do it, and when each approach makes sense.
Up next: dedicated guides for silent worker failures, queue backlog detection, retry storm patterns, and Celery on Kubernetes. New guides land roughly once a month.