WindowsServerCpuUsage

WindowsServerCpuUsage #

CPU Usage is more than 80%

Alert Rule
alert: WindowsServerCpuUsage
annotations:
  description: |-
    CPU Usage is more than 80%
      VALUE = {{ $value }}
      LABELS = {{ $labels }}    
  runbook: https://srerun.github.io/prometheus-alerts/runbooks/windows-exporter/windowsservercpuusage/
  summary: Windows Server CPU Usage (instance {{ $labels.instance }})
expr: 100 - (avg by (instance) (rate(windows_cpu_time_total{mode="idle"}[2m])) * 100)
  > 80
for: 0m
labels:
  severity: warning

Here is a runbook for the WindowsServerCpuUsage alert rule:

Meaning #

The WindowsServerCpuUsage alert rule is triggered when the CPU usage of a Windows server exceeds 80%. This alert is indicative of potential performance issues on the server, which can lead to slower response times, increased latency, and decreased overall system performance.

Impact #

High CPU usage on a Windows server can have several negative impacts on the system and its users. These include:

  • Slower application response times
  • Increased latency
  • Decreased system performance
  • Increased risk of system crashes or freezes
  • Decreased overall user experience

Diagnosis #

To diagnose the root cause of high CPU usage on a Windows server, follow these steps:

  1. Check the system’s Task Manager to identify which processes are consuming the most CPU resources.
  2. Review system logs to identify any errors or warnings related to CPU usage.
  3. Check for any resource-intensive applications or services that may be causing the high CPU usage.
  4. Verify that the server’s hardware is sufficient to handle the current workload.
  5. Check for any signs of malware or virus infections.

Mitigation #

To mitigate high CPU usage on a Windows server, follow these steps:

  1. Identify and terminate any unnecessary or resource-intensive processes.
  2. Optimize system settings to improve performance, such as adjusting power settings or disabling unnecessary features.
  3. Consider upgrading the server’s hardware to improve performance.
  4. Implement load balancing or distribute workloads across multiple servers to reduce the load on individual servers.
  5. Consider implementing CPU throttling or limiting CPU usage for specific applications or services.

Remember to always monitor system performance and adjust mitigation strategies as needed to ensure optimal system performance.

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