XM Jobs Test

To ensure optimal performance of the Endpoint Management server, administrators can schedule the automatic execution of certain critical tasks in the background - say, cleanup operations, download operations, etc. Periodically, administrators should check whether these tasks are executing as per schedule, identify failed tasks, investigate the reasons for the failure and fix them, so that such job failures do not adversely impact the performance of the Endpoint Management server. The XM Jobs test helps administrators rapidly capture job failures and promptly initiate remedial action.

With the help of this test, administrators can track the status of their scheduled jobs and quickly identify the number and nature of jobs that failed or were cancelled.

Target of the test : A Citrix Endpoint Management

Agent deploying the test : A remote agent

Outputs of the test : One set of results for the target Endpoint Management server being monitored.

Configurable parameters for the test

Parameter	Description
Test Period	How often should the test be executed.
Host	The host for which the test is to be configured.
Port	The port at which the specified host listens. By default, this is 4443.
Username and Password	Specify the credentials of a Endpoint Management user with Administrator privileges.
Confirm Password	Confirm the password by retyping it here.
SSL	Indicate whether/not the Endpoint Management server is SSL-enabled. By default, this flag is set to Yes.
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: The eG manager license should allow the detailed diagnosis capability Both the normal and abnormal frequencies configured for the detailed diagnosis measures should not be 0.

Measurements made by the test

Measurement	Descrption	Measurement Unit	Interpretation
Repeating jobs	Indicates the number of jobs that keep repeating.	Number	Use the detailed diagnosis of this measure to identify the jobs that keep repeating.
Total jobs	Indicates the total number of jobs that were scheduled.	Number
Running jobs	Indicates the number of jobs that are running currently.	Number	Use the detailed diagnosis of this measure to know which jobs are running currently.
Cancel requested jobs	Indicates the number of jobs for which cancellation has been requested.	Number	Use the detailed diagnosis of this measure to know for which jobs cancellation has been requested.
Cancelled jobs	Indicates the number of jobs that have been cancelled.	Number	Use the detailed diagnosis of this measure to know which jobs were cancelled.
Recently ran jobs	Indicates the number of jobs that ran during the last measurement period.	Number
Recently failed jobs	Indicates the number of jobs that failed during the last measurement period.	Number	Ideally, the value of this measure should be 0. If this measure reports a non-zero value, use the detailed diagnosis of this measure to know which jobs failed.
Last executed jobs	Indicates the number of jobs that were executed during the last measurement period.	Number	Use the detailed diagnosis of this measure to know which jobs executed during the last measurement period.

The detailed diagnosis of the Repeating jobs measure lists the jobs that keep repeating. Using these detailed metrics, administrators can figure out how often the job is configured to repeat, when the job executed last, and how long the job ran when it last executed. From these metrics, administrators can determine whether/not the job ran as per schedule, and if it did, whether job execution took longer than usual. Delays in repeating jobs can thus be detected.

Figure 1 : The detailed diagnosis of the repeating jobs measure