Workload metrics measure an object's demand for resources versus the actual capacity that the object can access. Use Workload values as an investigative tool when you are researching capacity constraints or evaluating the general state of objects in your environment.
Object Workload
The Workload tab present data about a single object as follows:
- The Business Week Workload - this measure reflects the system's calculation of how much capacity an object demands over a time period. The analysis compares an object's overall average workload against its capacity for a six-week period, hour by hour. Results are color-coded to show different demand levels. See the color key that follows these descriptions.
- Workload Breakdown - Data is given for the individual resources of the workload, for example, CPU and memory. The values are recalculated every five minutes.
Custom Group Workload
The Workload tab presents information for a custom group, for example vSphere World, differently from how it presents object data:
- Current Workload Breakdown - the system presents workload constraints in several formats: pie chart, badges, bar chart, and grid. See the color key that follows these descriptions.
Table 1.
Custom Workload Breakdown
Format |
Content |
Pie Chart |
Each slice of the pie represents the percentage of total workload being occupied by objects in a given state: normal, warning, critical, and so on. Point to a slice to make the percentage appear as a tool tip. |
Badges |
Each colored badge represents a state and includes the number of objects in a given state, for example, immediate (attention needed). You can toggle the data between the number of objects in a given state and the percentage of objects in a given state. A caption notes the total number of objects in the group. |
Bar chart |
A visual presentation of the percentage of all objects experiencing workload issues during that past four weeks. |
Grid |
All objects in the group are listed by name, object type, current level of criticality, and general issue description. You can click any object name to view the details for that object, including its Object Workload details. |
Object State Color Key
Table 2.
Object Workload States
Badge Color |
Description |
User Action |
|
Workload on the object is not excessive. |
No attention required. |
|
Object is experiencing some high-resource workloads. |
Check and take appropriate action. |
|
Workload on the object is approaching its capacity in at least one area. |
Check and take appropriate action as soon as possible. |
|
Workload on the object is at or over its capacity in one or more areas. |
Act immediately to avoid or correct problems. |
|
No data is available. |
|
|
Object is offline. |
|
Here is a list of metrics by which the data in the Workload Tab is represented, for all interested object types.
Table 3.
vCenter Server
Data |
Metric Name |
CPU-Capacity |
CPU|Total Capacity |
CPU-Demand |
CPU|Demand Without Overhead |
CPU-Usage |
CPU|VM CPU usage |
CPU-Reserved |
CPU|Reserved Capacity |
CPU-Overhead |
CPU|Overhead |
Memory-Capacity |
Memory|Total Capacity |
Memory-Demand |
Memory|Machine Demand |
Memory-Usage |
Memory|Host Usage |
Memory-Reserved |
Memory|Reserved Capacity |
Memory-Overhead |
Memory|ESX System Usage |
Memory-Entitlement |
Memory|Usable Capacity |
Table 4.
Datacenter
Data |
Metric Name |
CPU-Capacity |
CPU|Total Capacity |
CPU-Demand |
CPU|Demand Without Overhead |
CPU-Usage |
CPU|VM CPU usage |
CPU-Reserved |
CPU|Reserved Capacity |
CPU-Overhead |
CPU|Overhead |
CPU-Entitlement |
CPU|Usable Capacity |
Memory-Capacity |
Memory|Total Capacity |
Memory-Demand |
Memory|Machine Demand |
Memory-Usage |
Memory|Host Usage |
Memory-Reserved |
Memory|Reserved Capacity |
Memory-Overhead |
Memory|ESX System Usage |
Memory-Entitlement |
Memory|Usable Capacity |
Table 5.
Cluster Compute Resource
Data |
Metric Name |
CPU-Capacity |
CPU|Total Capacity |
CPU-Demand |
CPU|Demand Without Overhead |
CPU-Usage |
CPU|VM CPU usage |
CPU-Reserved |
CPU|Reserved Capacity |
CPU-Entitlement |
CPU|Usable Capacity |
CPU-Overhead |
CPU|Overhead |
Memory-Capacity |
Memory|Total Capacity |
Memory-Demand |
Memory|Machine Demand |
Memory-Usage |
Memory|Host Usage |
Memory-Reserved |
Memory|Reserved Capacity |
Memory-Entitlement |
Memory|Usable Capacity |
Memory-Overhead |
Memory|ESX System Usage |
Table 6.
Host System
Data |
Metric Name |
CPU-Capacity |
CPU|Total Capacity |
CPU-Demand |
CPU|Demand Without Overhead |
CPU-Usage |
CPU|VM CPU usage |
CPU-Reserved |
CPU|Reserved Capacity |
CPU-Overhead |
CPU|Overhead |
Memory-Capacity |
Memory|Total Capacity |
Memory-Demand |
Memory|Machine Demand |
Memory-Usage |
Memory|Host Usage |
Memory-Reserved |
Memory|Reserved Capacity |
Memory-Overhead |
Memory|ESX System Usage |
Table 7.
Virtual Machine
Data |
Metric Name |
CPU-Capacity |
CPU|Total Capacity |
CPU-Demand |
CPU|Demand |
CPU-Usage |
CPU|Usage |
CPU-Limit |
CPU|Effective limit |
Memory-Capacity |
Memory|Total Capacity |
Memory-Demand |
Memory|Utilization |
Memory-Usage |
Memory|Guest Usage |
Memory-Reserved |
Memory|Reservation Used |
Memory-Limit |
Memory|Effective limit |
Table 8.
Resource Pool
Data |
Metric Name |
CPU-Capacity |
CPU|Total Capacity |
CPU-Demand |
CPU|Usage |
CPU-Usage |
CPU|Usage |
CPU-Reserved |
CPU|Reservation Used |
Memory-Capacity |
Memory|Total Capacity |
Memory-Demand |
Memory|Guest Demand |
Memory-Usage |
Memory|Consumed |
Memory-Reserved |
Memory|Reservation Used |