Resolving Memory leaks in long-running Python Celery worker daemons Under Peak Event Traffic on DigitalOcean
Diagnosing Memory Bloat in Python Celery Workers When your Python Celery workers, especially those handling high-volume event traffic on DigitalOcean, begin exhibiting uncontrolled memory growth, it’s a critical issue that can lead to OOM kills, service degradation, and cascading failures. This isn’t a theoretical problem; it’s a production emergency. The root cause is often subtle, […]