Welcome to the HCL Workload Automation documentation, where you can find information about how to install, maintain, and use HCL Workload Automation. The documentation has been updated for HCL Workload Automation Version 10.2.
Workload service assurance is an optional feature that provides the means to flag jobs as mission critical for your business and to ensure that they are processed in a timely manner. Using this function benefits your scheduling operations personnel by enhancing their ability to meet defined service levels.
This chapter introduces the concept of variable tables to group global parameters, from now on called variables, to customize your workload.
Workload applications can be created and then exported so that they can be shared with other HCL Workload Automation environments. In the new environment, the workload application can be subsequently updated, replaced, or deleted.
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You can use the essential Orchestration Query Language keywords and syntax to effectively write queries from command line.
Using internal and third-party tools to monitor HCL Workload Automation
You can extend HCL Workload Automation capabilities by integrating with third-party products. This integration allows you to easily start HCL Workload Automation jobs on external products, while using HCL Workload Automation scheduling capabilities. HCL Workload Automation also provides jobs that perform everyday operations, such as file transfer and web services, and utility jobs that automate and simplify operations, such as the job stream submission.
This section explains how you can manage dynamic scheduling capabilities in your environment to schedule both existing HCL Workload Automation jobs and job types with advanced options, both those supplied with the product and the additional types implemented through the custom plug-ins.
With HCL Workload Automation you can define jobs to run when and as often as necessary. Sometimes some jobs might have to wait for other jobs to finish successfully before they start. Add even more flexibility to your job flows by choosing which job to run depending on the result of the job status or output of a previous job. Whenever you have conditions that specify whether or not a segment of your job flow should run, then that is a conditional dependency.