VM Logins - Cloud Test
This test monitors the user logins to the cloud-hosted virtual desktops and reports the total count of logins and logouts.
Target of the test : An Amazon Cloud Desktop Group
Agent deploying the test : A remote agent
Outputs of the test : One set of results for the Amazon Cloud Desktop Group component being monitored.
Parameter | Description |
---|---|
Test Period |
How often should the test be executed. |
Host |
The nick name of the Amazon Cloud Desktop Group component for which this test is to be configured. |
Port |
Refers to the port at which the specified host listens to. By default, this is NULL. |
Inside View Using |
To obtain the 'inside view' of performance of the desktops - i.e., to measure the internal performance of the cloud-based virtual desktops - this test uses a light-weight eG VM Agent software deployed on each of the desktops. Accordingly, this parameter is by default set to eG VM Agent. |
Report Powered OS |
If this flag is set to Yes (which is the default setting), then the 'inside view' tests will report measures for even those desktops that do not have any users logged in currently. Such desktops will be identified by their name and not by the username_on_desktopname. On the other hand, if this flag is set to No, then this test will not report measures for those desktops to which no users are logged in currently. |
Report By User |
This flag is set to Yes by default. The value of this flag cannot be changed. This implies that the cloud-based virtual desktops in environments will always be identified using the login name of the user. In other words, in cloud environments, this test will, by default, report measures for every username_on_desktopname. |
IsCloudVMs |
Since this test runs for a 'Amazon Cloud Desktop Group' component, this flag is set to Yes, by default. |
DD Frequency |
Refers to the frequency with which detailed diagnosis measures are to be generated for this test. The default is 1:1. This indicates that, by default, detailed measures will be generated every time this test runs, and also every time the test detects a problem. You can modify this frequency, if you so desire. Also, if you intend to disable the detailed diagnosis capability for this test, you can do so by specifying none against DD frequency. |
Detailed Diagnosis |
To make diagnosis more efficient and accurate, the eG Enterprise embeds an optional detailed diagnostic capability. With this capability, the eG agents can be configured to run detailed, more elaborate tests as and when specific problems are detected. To enable the detailed diagnosis capability of this test for a particular server, choose the On option. To disable the capability, click on the Off option. The option to selectively enable/disable the detailed diagnosis capability will be available only if the following conditions are fulfilled:
|
Measurement | Description | Measurement Unit | Interpretation |
---|---|---|---|
Current sessions |
Indicates the number of user sessions that are currently active across all the virtual desktops that are reporting metrics for the target Amzon Cloud Desktop Group component |
Number |
This is a good indicator of the session load on the virtual desktops. |
New logins |
Indicates the number of new logins to the virtual desktops. |
Number |
A consistent zero value could indicate a connection issue. If this measure reports a non-zero value, use the detailed diagnosis of the measure to know which user logged into which virtual desktop and when user logged into the virtual desktop. |
Percent new logins |
Indicates the percentage of current sessions that logged in during the last measurement period. |
Percent |
|
Sessions logging out |
Indicates the number of sessions that logged out. |
Number |
If all the current sessions suddenly log out, it indicates a problem condition that requires investigation. The detailed diagnosis of this measure lists the sessions that logged out. |
Use the detailed diagnosis of the New logins measure to know which user logged into which virtual desktop when.
Figure 1 : The detailed diagnosis of the New logins measure