Hi,
It is a common monitoring design requirement and the recommended approach is usually to suppress or adjust alerting behavior during known maintenance activities such as backup windows rather than lowering CPU alert thresholds globally.
If your monitoring platform supports scheduled maintenance windows, alert suppression, or alert muting, configure the backup period as a recurring maintenance window. CPU metrics should continue to be collected and stored for historical analysis, but alarm generation and notifications can be suppressed only during the approved backup schedule. This prevents expected backup-related CPU utilization from generating incidents while preserving visibility into the actual resource consumption.
If maintenance windows are not available, the next best approach is dynamic or anomaly-based thresholding. In that model, the monitoring system learns the normal CPU baseline, including recurring backup activity, and only triggers an alert when utilization significantly deviates from the established pattern. This is generally more effective than static thresholds because it continues to detect abnormal spikes during backups, such as a runaway process pushing CPU far beyond the historical backup baseline.
From an operational perspective, I would recommend keeping the existing CPU collection and performance dashboards unchanged, implementing either scheduled alert suppression or dynamic thresholds, and adding a separate alert condition for sustained CPU saturation (for example, CPU > 95% for 15-30 minutes) if there is concern about backups masking genuine resource exhaustion events.
The exact implementation depends on the monitoring platform in use (SCOM, Azure Monitor, PRTG, SolarWinds, Zabbix, Nagios, Datadog, etc.), but the requirement itself is both feasible and aligned with monitoring best practices.
I hope you've found something useful here. If it helps you get more insight into the issue, it's appreciated to accept the answer. Should you have more questions, feel free to leave a message. Have a nice day!
Domic Vo.