ApcUpsHighLoad

ApcUpsHighLoad #

UPS load is > 80%

Alert Rule
alert: ApcUpsHighLoad
annotations:
  description: |-
    UPS load is > 80%
      VALUE = {{ $value }}
      LABELS = {{ $labels }}    
  runbook: https://srerun.github.io/prometheus-alerts/runbooks/apcupsd_exporter/apcupshighload/
  summary: APC UPS high load (instance {{ $labels.instance }})
expr: apcupsd_ups_load_percent > 80
for: 0m
labels:
  severity: warning

Here is a runbook for the ApcUpsHighLoad alert rule:

Meaning #

The ApcUpsHighLoad alert is triggered when the load on an APC UPS (Uninterruptible Power Supply) exceeds 80%. This indicates that the UPS is being utilized at a level that may compromise its ability to provide reliable power to connected devices in the event of a power outage.

Impact #

A high load on the UPS can lead to reduced battery life, increased risk of power outages, and potential data loss or corruption. This can have significant consequences for critical systems and services that rely on the UPS for power backup.

Diagnosis #

To diagnose the cause of the high load on the UPS:

  1. Review the apcupsd_ups_load_percent metric to determine the current load on the UPS.
  2. Investigate the devices connected to the UPS to identify any high-power draws or unusual usage patterns.
  3. Check the UPS’s power capacity and ensure it is sufficient to support the connected devices.
  4. Verify that the UPS is properly configured and maintained, including ensuring that the batteries are functioning correctly.

Mitigation #

To mitigate the high load on the UPS:

  1. Identify and address any high-power draws from connected devices, such as servers or storage systems.
  2. Consider upgrading the UPS to a model with higher power capacity or adding additional UPS units to distribute the load.
  3. Implement power-saving measures, such as reducing the power consumption of connected devices or implementing energy-efficient practices.
  4. Schedule a maintenance window to perform UPS battery replacement or other necessary maintenance tasks.

Remember to review the alert annotations for specific details about the affected instance and load percentage to inform your diagnosis and mitigation efforts.

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