Abstract: Embodiments provide a graphical representation of load distribution or “balance” in a computing cluster. Load metrics representing the resource utilization of individual host computing devices are collected, and a load imbalance metric representing the variability of the host load metrics is calculated. A graphical balance indicator including a balance position and a boundary is created. An imbalance icon is positioned relative to the balance position and the boundary based on the calculated load imbalance metric. Attributes of the graphical balance indicator, such as the position of the boundary and/or the size of the imbalance icon, may be determined based on an acceptable imbalance threshold value.

Abstract: Embodiments provide a graphical representation of load distribution or “balance” in a computing cluster. Load metrics representing the resource utilization of individual host computing devices are collected, and a load imbalance metric representing the variability of the host load metrics is calculated. A graphical balance indicator including a balance position and a boundary is created. An imbalance icon is positioned relative to the balance position and the boundary based on the calculated load imbalance metric. Attributes of the graphical balance indicator, such as the position of the boundary and/or the size of the imbalance icon, may be determined based on an acceptable imbalance threshold value.