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MetricsHub Community Connectors 1.0.22

ipmi (Source)

When To Use

Use ipmi when metrics are exposed through IPMI sensor outputs and your target platform supports IPMI collection.

This source usually feeds AWK/compute normalization steps before mapping.

Syntax

sources:
  sensorDump:
    type: ipmi
    forceSerialization: true
    computes:
    - type: awk
      script: ${file::sdr_formatter.awk}

Properties

Property Required Default Description
type Yes None ipmi.
computes No [] Post-processing pipeline, typically required for shaping.
forceSerialization No false Serialize execution via a per-connector, per-host lock (see the Sources overview). Default false.
executeForEachEntryOf No None Fan-out context when needed.
  • Parse IPMI command output into semicolon-delimited tables quickly.
  • Branch with copy for multiple monitor views (status, thresholds, counters).
  • Keep translation logic in reusable translation tables.

Common Mistakes

  • Mapping raw IPMI output without normalization.
  • Mixing discrete and numeric sensors in one unstable table shape.
  • Running redundant IPMI calls instead of reusing one source table.

Community Examples

ipmi source sensors hardware monitoring metricshub community connector hardware system
Links:
  • [1] https://github.com/metricshub/community-connectors/blob/main/src/main/connector/hardware/IpmiTool/IpmiTool.yaml
  • [2] https://github.com/metricshub/community-connectors/blob/main/src/main/connector/hardware/LinuxIpmiTool/LinuxIpmiTool.yaml
  • [3] https://github.com/metricshub/community-connectors/blob/main/src/main/connector/hardware/WindowsIpmiTool/WindowsIpmiTool.yaml
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