If you run important automation with Python, you need a way to monitor Python scripts in production beyond “the server is up” and “there are logs somewhere.” A script can stop running, hang forever, exit early, fail under cron, lose permissions, or silently skip the work it was supposed to do — while your app and server still look perfectly healthy. That is the uncomfortable part of production scripts: they often fail quietly. Maybe a daily import stopped pulling customer data. Maybe a billing reconciliation script crashed last Thursday. Maybe a cleanup job has not deleted old files for two weeks. Nobody notices until the downstream symptoms become visible. This guide explains how to monitor Python scripts in production with practical signals, heartbeat checks, and simple examples that catch missed or broken runs before users do. The problem Python scripts are often the invisible glue in production systems.…