Error Tracking and Uptime Monitoring Expose Different Cron Heartbeat Evidence
Error tracking and uptime monitoring cannot prove that a media cron job sent its completion heartbeat. An AI agent that never starts produces no exception, no latency sample, and no cost record, so scheduled work needs an external deadline check. TL;DR: use error tracking for failures observed by running code, uptime monitoring for reachable services, and an externally evaluated heartbeat for…
Error tracking and uptime monitoring provide distinct insights into the status of cron jobs. Error tracking captures failures observed during code execution, such as crashes and exceptions, while uptime monitoring verifies that a service is reachable and responding correctly. For scheduled work, an externally evaluated heartbeat is necessary to confirm that the expected task has completed, even if no exceptions were raised and no latency samples were recorded.
To accurately assess scheduled work, each occurrence should have a stable occurrence ID, and completion should only be recorded after the durable output and measurements have been committed. Silence during a scheduled job should not be mistaken for normal operation, as it may indicate a scheduling issue rather than a successful zero-work interval.
By assigning a unique ID to each occurrence and verifying its completion, operators can distinguish between actual failures and silent successes, leading to more effective incident response and monitoring.
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