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Performance counters are modeled using the PerfCounterInfo data object type. Each instance of a PerfCounterInfo data object contains metadata about a specific metric available from the system. The cluster-services group (clusterServices) of performance counters tracks performance metrics for clusters that have been configured using VMware DRS (distributed resource scheduler), VMware HA (high availability), or both. |
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| Counter | StatsType | Unit | Level | RollupType | Label | Entity | |||
|---|---|---|---|---|---|---|---|---|---|
| V | H | R | C | ||||||
| cpufairness | absolute | number | 1 | latest | CPU Fairness | ο | • | ο | ο |
| Fairness of distributed cpu resource allocation | |||||||||
| effectivecpu | rate | megaHertz | 1 | average | Effective CPU Resources | ο | ο | ο | • |
| Total available CPU resources of all hosts within a cluster. Effective CPU = Aggregate host CPU capacity - (VMkernel CPU + Service Console CPU + other service CPU) | |||||||||
| effectivemem | absolute | megaBytes | 1 | average | Effective Memory Resources | ο | ο | ο | • |
| Total amount of machine memory of all hosts in the cluster that is available for use for virtual machine memory (physical memory for use by the Guest OS) and virtual machine overhead memory. Effective Memory = Aggregate host machine memory - (VMkernel memory + Service Console memory + other service memory) | |||||||||
| failover | absolute | number | 1 | latest | Current failover level | ο | ο | ο | • |
| VMware HA Number of failures that can be tolerated. | |||||||||
| memfairness | number | absolute | 1 | latest | Memory Fairness | ο | • | ο | ο |
| Aggregate available memory resources of all the hosts within a cluster. | |||||||||
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