9.5.0
DWC
Engine
Have you always wanted to deploy and upgrade IBM Workload Automation in an easier and faster way? Now it’s possible! By using Docker containers, you can instantly download the product image, create a container, and start up the product. Docker automates the deployment of applications inside software containers ensuring standardization and hassle-free deployment. Using Docker, you can replicate your environment quickly on development, build, test, and production systems.
9.5.0
DWC
Engine
Mainframe
In a z/OS environment, you can set that an alert is issued or an action taken when an operation does not complete or start within its deadline or by the time that you specify.
9.5.0
DWC
Engine
The standard installation process has been dramatically improved by introducing a streamlined command-line installation, eliminating the method based on IBM Installation Manager, and reducing the prerequisite software stack. In addition, the product components are also available to be deployed using containers and IBM Workload Scheduler has been enabled for IBM Cloud Private. You can now deploy IBM Workload Scheduler using one of these methods:
9.5.0
DWC
Engine
With the brand new plug-in for EJB you can schedule, monitor and control the execution of EJB JAR files deployed on a WebSphere Application Server and integrate them into more complex, composite batch workflows. You can schedule and monitor an EJB JAR file on a time or event basis. You can even set a conditional dependency for the JAR file execution, based on the value of variables passed from one job to another, in the same job stream or in a different job stream.
9.5.0
Engine
In a z/OS environment, you can better balance the submission of operations by prioritizing the jobs that are urgent (with priority 9) or that belong to a critical path; furthermore, you can add a delay to the submission of the remaining operations though without exceeding their latest start time.
9.5.0
Engine
IBM Z Workload Scheduler can now integrate with IBM Common Data Provider for Z to collect data that is valuable to you and distribute it to a variety of analytics engines, such as Splunk, IBM Z Operations Analytics, or Elasticsearch.
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