Control-M Add-Ons
The following Control-M Add-Ons are automatically installed in a trial version, which enables you to use the Add-On functionality. This mode is intended for testing and evaluation, not for use in production. For production, uninstall the trial version, reinstall a non-trial version, and then activate the Add-Ons from Add-On Activation CDs.
Add-On |
Description |
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Enables you to prevent batch-related failures or external events, such as hardware and network problems, which might cause delays in batch processing affecting the completion time and accuracy of business processes. You can analyze potential delays and errors in a critical batch service, view the status of a service, and take corrective action before the business is affected. To view a description of the service status tabs, see Service Management. |
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Enables you to simulate the processing of your batch workflows and validate job dependencies and scheduling criteria for any future dates. |
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Enables users to view services, which are containers of jobs, and analyze the problematic services and jobs through a workflow diagram or list display in a web-based application. After users have determined what the problems are, they can resolve them by performing various service and job actions based on their authorizations. |
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Enables you to do the following:
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Enables you to automatically archive job log and output data, from both Mainframe and Distributed systems, in a secure and central repository that is separate from the production environment. |
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Enables you to watch and transfer files from a local host to a remote host, a remote host to a local host, or a remote host to another remote host. |
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Control-M MFT Enterprise B2B is an MFT add-on that enables you to securely transfer and receive files to and from external users outside of your organization. Internal users can transfer files externally with File Transfer jobs, while external users transfer files to and from your organization via a BMC-provided web application or third-party FTP client. |
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Enables you to track and monitor business workflow metrics over time via various dashboards. Each dashboard exposes insights about specific areas such as SLA Management Services, workflow health, workflow job trends and peak usages, and optimization insights. These insights enable you to stay in control of your business workflows performance over time, set Key Performance Indicators (KPIs) and track them, to ensure continued improvement. |
SLA Management
SLA Management is a Control‑M Add-On that enables you monitor critical workflows and determine the impact of a potential delay or failure. If the SLA manager estimates that a delay might occur an alert is sent, which allows you to analyze the actions to take to minimize or prevent this delay, as described in Service Management.
Every time a job executes, Control-M collects statistics and uses this information to calculate the average run time for that job. The average run time becomes the expected run time for the job. If a job runs and it is defined in a business service, SLA Management compares its actual run time to its average run time from past executions.
SLA Management enables you to do the following:
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Create a SLA Management service, as described in Service Definition.
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Analyze run time statistics to predict the end time of defined jobs using one of the following methods:
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Basic Statistics collection
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Monitor services, as described in Service Monitor and Business Service Analysis Viewpoint.
Control-M/Forecast
Control-M/Forecast is a Control-M add-on that enables you to validate your batch production modeling. Control‑M/Forecast loads and simulates the processing of your batch workflows, allowing you to validate job dependencies and scheduling criteria for any future dates.
Every time a job executes, Control-M collects statistics that it uses to calculate the average run time for that job. This average run time becomes the expected run time for the job in Control-M/Forecast.
If SLA Manager is installed, Control-M/Forecast shows all business services and their expected end time.
If you have Control-M/Forecast you can do the following:
Display when and how often jobs are scheduled by clicking View Schedule. For more information about scheduling jobs, see Scheduling.
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Create dependencies between jobs and allocate resources, as described in Prerequisites
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Simulate your workflows for a day in the future, as described in Simulate your Job Flow.
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Analyze run time statistics to predict the end time of a defined job using one of the following methods:
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Basic Statistics collection
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View Forecast reports, as described in Generate Forecast reports.
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Perform a Load Operation in batch mode, which enables you to receive Job information, and if you have SLA Management Add-On installed, you can receive service information.
Control-M Self Service
Control-M Self Service is a Control-M add-on that enables you to view your services with a web-based application and analyze the problematic services and jobs. After you have determined what the problems are, you can resolve them by performing various service and job actions, depending on your authorizations. The following tasks are included in setting up Control-M Self Service:
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Log in to Control-M Self Service through the URL on Windows as follows:
http://<Control-M/EM_Server_Host_Name>:<web_server_port >/SelfService
The default web server port is 18080.
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Configure the Self_Service_Server and Control-M Self Service system parameters from the Control-M Configuration Manager, as described in Control-M Self Service system parameters.
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Create service definitions or service rules from the Service Manager, as described in Service definition.
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Enable SSL security, as described in SSL Management.
Control-M Workload Change Manager
Control-M Workload Change Manager (WCM) is a Control-M add-on that enables you to do the following:
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WCM Web Users, such as application developers and analysts, can make changes to a Control-M Workspace or workflow, and submit their changes to a Control-M Scheduler for review.
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Control-M Schedulers can review the request, communicate with the Web User via Notes, return the request to the Web User for changes, or approve the changes and check in the new Workspace or workflow. For more information, see Request Workspace.
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Control-M Administrators can create Site Standards that enforce organizational rules when Control-M Schedulers and Web Users create jobs and define or change folder and job definitions. For more information, see Site Standards.
Control-M Workload Archiving
Control-M Workload Archiving is a Control-M add-on that enables you to automatically archive job log and output data, from both Mainframe and Distributed systems, in a secure and central repository that is separate from the production environment.
When Control-M/Server submits a job to run on an Agent, the Workload Archiving Server archives the job log and output in a separate PostgreSQL or Oracle database for a defined period based on Workload Archiving Policies, as described in Workload Archiving Configuration . This enables you to meet organizational audit and compliance requirements, troubleshoot your environment using historical data, and enable/disable users from accessing the archived data based on Control-M/EM authorizations.
Control-M Workload Archiving is installed on a Control-M/EM distributed machine with a PostgreSQL or Oracle database. For more information, see Control-M Workload Archiving Installation.
You can install multiple instances of Control-M Workload Archiving, which requires a separate Control-M/EM Distributed instance for each Workload Archiving instance. Each Workload Archiving server uses the same external PostgresSQL or Oracle database. This enables you to archive jobs faster and provides a high availability active-active solution to your Control-M Workload Archiving environment.
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If you install multiple Workload Archiving instances you must set all the Workload Archiving components desired state to UP in the Control-M Configuration Manager.
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The date and time on additional distributed Control-M/EM machines must be synced with each other.
The following procedures describe how to search, duplicate, compare, export, and save archive data: