Future saturation recommendation
The recommendation rule is based on the following metrics:
- CPU Utilization in MHz
- Memory Utilization %
- Total datastore space used
The warning threshold values that are configured for these metrics are used for the recommendation. These threshold values can differ for each technology. You can configure them on the Thresholds page in the Helix Capacity Optimization Console.
For more information about configuring thresholds, see Configuring-and-managing-thresholds-for-metrics-and-indicators.
The recommendation state is marked as critical if the resource saturation is expected to occur within the next 7 days or warning if it is expected to occur within the next 8 to 45 days.
You can change these default values on the Rules page in the Helix Capacity Optimization Console.
For more information about modifying the Optimizer rules, see Configuring-and-managing-Optimizer-rules.
The minimum 5 days of data is required to calculate the utilization trend of resources. You can modify this setting on the Thresholds page in the Helix Capacity Optimization Console.
The following table explains some example scenarios for vSphere clusters when the resource usage can increase and suggested actions to reduce the usage.
Scenario for the increase in the resource usage trend | Suggested actions |
---|---|
Hosts in the vSphere cluster are disconnected or are in the maintenance mode | Troubleshoot the hosts and recover cluster resources. |
A cluster has the High Availability (HA) option turned ON. | Troubleshoot the hosts to recover the resources of the cluster and eliminate the future saturation condition.
|
| Remove the condition that prevents an available host from powering on to add resources to the cluster. The condition can occur due to any of these reasons:
|
Storage is saturating soon or is already saturated. |
|
CPU or memory is saturating soon or is already saturated. | If the cluster contains idle VMs, remove them to reclaim the CPU or memory resources. |
A workload (application) running inside a VM is causing high usage. | Troubleshoot (for example, stop runaway processes) or tune the application to reduce its footprint, and then reduce the reservations or limits available to the VM or its parent resource pools to improve the cluster efficiency. |