Control-M provides advanced operational capabilities easily consumed by Dev, Ops and lines of business. Sneak peek : Maximize file transfer visibility, control, and integration. The solution helps us maintain compliance, increase efficiency, and reduce siloes thanks to simplified integrations and scheduling.
Light years ahead of the competition. Perfect ten. One of the most stable products, I've had fewer problems with it than just about anything else I've supported. Years ahead in terms of usability and visibility. Control-M has handled it seamlessly. View all Control-M Resources. Main Menu Featured Products. FootPrints Careers. Let us know how we can help. General inquiries and locations Contact Us. This example contains two jobs : CommandJob and ScriptJob. To define the sequence of job execution, the Flow object is used.
In the code above, the following parameters need to be set to run the jobs in your environment:. RunAs identifies the operating system user that will execute the jobs.
Host defines the machine where the jobs will run. Change the values to suit your Control-M environment. In a Control-M Workbench environment, change the values of the following parameters as shown in the example below. Each time you run the code, a new runId is generated.
Let's take the new runId , and check the jobs statuses again:. Let's view the output of CommandJob. Use the jobId to get this information, as in the following example:. Control-M Workbench offers an interactive user interface for debugging purposes. Through this interface, you can view various job run details including, for example, an activity log and statistics for each job.
This setting corresponds to the Control-M server to connect to, which can be found out from the Control-M client as pictured below. In version 8, you can get these details from the Control-M client that is used to connect to the server:.
Note: It is possible to store passwords in an encrypted format by adding the suffix. Note: It is possible to encrypt the password using a utility that comes with the integration, which is the bdIT. In the jacorb. The logging is configured using log4j. By default, it is configured to log to the console and a log file controlmmonitor.
The config files are available in the logConfig directory. Move the file that you wish to use into the main directory and make sure it is called log4j2. There are three logging configurations provided:.
Place the licence file ControlmMonitor. The job views are configured in the xml files in the jobview folder. The job view is the main feature of the integration. It displays a selection of jobs that are currently ordered into your Control-M schedule.
There are several job views that are defined out of the box with the integration:. All the job views have the same column structure. Their contents are defined by the XML soap messages in the jobview folder.
This allows you to:. To monitor the Control-M agents, an instance of the plug-in needs to run on each server where the Agent runs. All of these plug-ins can communicate with an individual netprobe. Note: To reduce the load on the agent servers and the Control-M API, it is best to remove the job views from all the agent servers except one.
With the features available in the standard Geneos product, you are able to monitor the whole scheduling infrastructure and use the menu commands to go from a selected job to display metrics of the server on which the instance of that job is running. Geneos Select version. Introduction The Control-M monitoring integration allows you to monitor scheduled jobs that are running on a Control-M server.
Prerequisites The following requirements must be met prior to the installation and setup of the template: Control-M version 9. For Control-M beginning 9. For more information, see Application and plug-in specific information. Requires JRE, see Java support. Control-M integration with dependent libs these are included in the lib subdirectory Control-M integration licence: ControlmMonitor. Installation Sampler Set up a sampler.
This is set up as an API plug-in. If you wish to change the name, make sure that it matches the name in the ctmemapi. Set the plugin type to API. Netprobe Select a netprobe, preferably on the machine where you will be running the plug-in code. Managed Entity Set up a managed entity that joins the probe and the sampler.
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