DISMAN-SCHEDULE-MIB::schedActionFailure #

This notification is generated whenever the invocation of a scheduled action fails.

Variables #

• schedLastFailure
• schedLastFailed

Definitions #

schedLastFailure

The most recent error that occurred during the invocation of a scheduled action. The value noError(0) is returned if no errors have occurred yet.

schedLastFailed

The date and time when the most recent failure occurred. The value ‘0000000000000000’H is returned if no failure occurred since the last re-initialization of the scheduler.

Meaning #

The DISMAN-SCHEDULE-MIB::schedActionFailure trap is generated when a scheduled action fails to execute. This trap is an indication that there is an issue with the scheduling system, which may impact the reliability and predictability of automated tasks.

Impact #

The impact of this trap is that scheduled actions may not be executed as expected, leading to potential disruptions in service or inconsistencies in system behavior. This can result in unforeseen consequences, such as delayed or missed tasks, data inconsistencies, or even system crashes.

Diagnosis #

To diagnose the issue, the following steps can be taken:

1. Check the schedLastFailure variable to determine the specific error that occurred during the scheduled action execution.
2. Verify the schedLastFailed timestamp to identify when the failure occurred.
3. Investigate the root cause of the failure, such as system resource issues, configuration errors, or software bugs.
4. Review system logs and event histories to identify any patterns or correlations with other system events.

Mitigation #

To mitigate the impact of this trap, the following steps can be taken:

1. Address the underlying cause of the failure, such as resolving software bugs or resource constraints.
2. Implement redundant or backup scheduling mechanisms to ensure task execution continuity.
3. Configure event-driven notifications to alert administrators of scheduling failures.
4. Develop and implement automated recovery procedures to minimize the impact of scheduling failures.