With the new infrastructure of the Dynamic Workload Console we completely changed and improved the creation of the dashboard for your scheduling objects.
Maintaining and keeping control of a scheduling environment can be challenging. The right solution, when monitoring different machines and environments, is to have everything in one place. That is why the new dashboard represents the best choice. You can choose to create and customize your own dashboard or use one of the dashboard templates available. The possibility to have customized data sources with information from internal plan or from an external REST API, helps you in creating the perfect solution for monitoring. By creating boards and filling it with widgets, you will be able to control every scheduling object; from the health of your machines to the list or the number of critical jobs.

Enable business-oriented triggering and monitoring of activities related to jobs and job streams. You can categorize your jobs and job streams into a hierarchy of folders according to a specific line of business, department, geography or other category that makes sense for your business. Organizing jobs and job streams in folders makes it easy to manage user or group access at the folder level. Monitoring jobs or job streams defined in folders means you don't need to rely on complicated and restrictive naming conventions. This feature is now also available in the Workload Automation on Cloud offering for new subscription requests.

With IBM Cloud Private, you can deploy the IBM Workload Automation components as Helm charts for an easy and quick configuration and run them as Docker container applications in Kubernetes clusters. By migrating the traditional workload from on-premises to cloud private, you can innovate quickly and realize business value immediately.

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.

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.

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:

• Command-line based installation
  
• Docker containers
  
• BM Workload Automation components deployed into IBM Cloud Private

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.

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.

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.