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Foglight Capacity Director 5.8.3 - User Guide

Using Foglight Capacity Director Getting Started Tab Current Capacity Tab Resource Utilization Tab Scenario Modeler Tab Server Purchase Tab Report Tab Performance Tuning Tab Changes and DRS Rules Tab Infrastructure Organizations Tab

Projected Memory Usage view

This embedded view is part of the Resource Utilization > Clusters view. To display this view, click the Clusters tab in the Resource Utilization view, and select a cluster from the Cluster Name table.

Table 2. Projected Memory Usage view
Description

This view displays memory utilization metrics on the selected cluster.

NOTE: Unless otherwise indicated, the units of measurement for the following metrics are automatically converted for better plotting.
Data displayed
•
Utilization: This chart shows the actual memory usage.
•
Capacity: This chart shows the total memory capacity.
•
HA Capacity: If the HA policy is enabled on the selected cluster, this chart is plotted to show the actual memory usage.
•
Capacity Changes: Shows the changes on memory capacity after including planned changes.
•
Usage Changes: Shows the changes on memory usage after including planned changes.
•
Consume: Shows the current memory usage.
•
Growth Rate Per Week: Shows the growth rate of memory capacity per week.
•
R-squared: Indicates the accuracy of the forecasting data. This value is ranged from 0 to 1, and a higher value indicates that the forecasting data of utilization is more accurate.
•
Capacity: Shows the current memory capacity.
•
Time To Full:
HA enabled: Shows the period when the actual memory usage (the Utilization metric) exceeds the HA capacity metric. This metric is calculated based on the Growth Rate Per Week.
HA disabled: Shows the period when the actual memory usage (the Utilization metric) exceeds the total memory capacity (the Capacity metric). This metric is calculated based on the Growth Rate Per Week.
•
P-value: Indicates the dependency between the utilization and history time. This value is ranged from 0 to 1, and a lower value indicates that the utilization has a more significant dependency with the history time.

Projected Storage Usage view

This embedded view is part of the Resource Utilization > Clusters view. To display this view, click the Clusters tab in the Resource Utilization view, and select a cluster from the Cluster Name table.

Table 3. Projected Storage Usage view
Description

This view displays storage utilization metrics on the selected cluster.

NOTE: Unless otherwise indicated, the units of measurement for the following metrics are automatically converted for better plotting.
Data displayed
•
Utilization: This chart shows the actual storage usage.
•
Capacity: This chart shows the total storage capacity.
•
Capacity Changes: Shows the changes on storage capacity after including planned changes.
•
Usage Changes: Shows the changes on storage usage after including planned changes.
•
Consume: Shows the current Storage usage.
•
Growth Rate Per Week: Shows the growth rate of storage capacity per week.
•
R-squared: Indicates the accuracy of the forecasting data. This value is ranged from 0 to 1, and a higher value indicates that the forecasting data of utilization is more accurate.
•
Capacity: Shows the current Storage capacity.
•
Time To Full: Shows the period when the actual storage usage (the Utilization metric) exceeds the total storage capacity (the Capacity metric). This metric is calculated based on the Growth Rate Per Week.
•
P-value: Indicates the dependency between the utilization and history time. This value is ranged from 0 to 1, and a lower value indicates that the utilization has a more significant dependency with the history time.

Projected Storage IOPs Usage view

This embedded view is part of the Resource Utilization > Clusters view. To display this view, click the Clusters tab in the Resource Utilization view, and select a cluster from the Cluster Name table.

Table 4. Projected Storage IOPS Usage view
Description

This view displays storage Input/Output Operations Per Second (IOPs) utilization metrics on the selected cluster.

Data displayed
•
IOPs: This chart shows the actual storage IOPs in the unit of connections per second (c/s).
•
Usage Changes: Shows the changes on storage IOPs usage (in c/s) after including planned changes.
•
Consumed: Shows the current storage IOPs (in c/s).
•
Growth Rate Per Week: Shows the growth rate of storage IOPs usage per week.
•
R-squared: Indicates the accuracy of the forecasting data. This value is ranged from 0 to 1, and a higher value indicates that the forecasting data of utilization is more accurate.
•
Capacity: This metric is not collected for the Projected Storage IOPs Usage view.
•
Time To Full: This metric is not collected for the Projected Storage IOPs Usage view.
•
P-value: Indicates the dependency between the utilization and history time. This value is ranged from 0 to 1, and a lower value indicates that the utilization has a more significant dependency with the history time.

 

 

Scenario Modeler Tab

The Scenario Modeler view is intended to rebalance the workload among virtual centers or datacenters, to achieve optimal resource utilization. The balance metrics include CPU utilization, Memory utilization, and Storage Capacity utilization. A metric is defined as ‘balanced’ if the resource utilization is averagely distributed across all clusters and standalone nodes; otherwise this metric can be regarded as ‘non-balanced’. Foglight Capacity Director provides two methods to help you optimize the use of clusters resources, by using the Scenario Modeler view:

•
Optimal Placement: Automatically rebalances the workload from clusters, by using an automatic algorithm that calculates and recommends the optimal distribution of virtual machines across clusters.
•
Manual Placement: Manually rebalances the workload from clusters, by moving virtual machines between clusters.
* 
NOTE: Results populated in the Scenario Modeler view are impacted if the HA policy is enabled in a virtual center.
To access the Scenario Modeler view:
1
On the navigation panel, under Dashboards, click Capacity Director.
The Capacity Director dashboard opens.
2
Use the Group selector located at the top of the dashboard to select the virtual environment that you want to monitor.
3
On the Menu bar, click the Scenario Modeler tab.
The Scenario Modeler view appears at the bottom of the Capacity Director dashboard.

The left side of the Scenario Modeler view includes the Planned Changes pane and the right side is the Scenario Modeler pane that walks you through the placement procedure.

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