Answer
Stalled jobs deserve special attention because they behave differently from failed jobs and are easy to miss with basic monitoring. A job that hangs waiting on a record lock, an external file, or an unresponsive interface will not throw an error or complete, so a monitoring approach that only watches job logs for failure messages can leave a stalled overnight process running silently until someone notices the business impact the next morning. Effective monitoring should track expected run duration and flag jobs that exceed it, not just jobs that end abnormally.
Message queue monitoring is the other area worth calling out specifically, since QSYSOPR and application-specific queues often carry the earliest warning of trouble, well before it escalates into a job failure or outage. A platform that can filter queue messages by severity and route the ones that matter to a real person, rather than requiring someone to periodically check the queue manually, closes a gap that many shops still handle by hand. Buyers should also confirm the platform can alert on replication health if HA is in place, since a stalled apply process is itself a silent failure that fits the same pattern as a stalled batch job.