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HCL Workload Automation
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 9.5 Fix Pack 6.
Planning and Installation
Installing HCL Workload Automation
Available installation methods
Deploying with containers
Deploy HCL Workload Automation quickly and easily with containers.
Using the HCL Workload Automation managed service on Now
Using the HCL Workload Automation managed service on Now.

HCL Workload Automation
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 9.5 Fix Pack 6.
- Fix Pack readmes
  For the latest information about a Fix Pack, see the appropriate Readme File.
- Planning and Installation
  - Planning
  - Installing HCL Workload Automation
    Available installation methods
    - Installing from the CLI
    - Deploying with containers
      Deploy HCL Workload Automation quickly and easily with containers.
      - Considerations about deploying with containers
        Some considerations about your HCL Workload Automation environments when the product components are deployed using containers.
      - Deploying with Docker compose
        Getting started with Docker compose
      - Deploying HCL Workload Automation components on Red Hat OpenShift
        You can now deploy HCL Workload Automation components on Red Hat OpenShift.
      - Deploying on Amazon EKS
        You can use Amazon Elastic Kubernetes Service (EKS) to run HCL Workload Automation containers on Amazon Web Services (AWS) EKS.
      - Deploying on Azure AKS
        You can deploy and manage HCL Workload Automation containers on Azure Kubernetes Service (AKS).
      - Deploying on Google GKE
        You can deploy and manage HCL Workload Automation containers on Google GKE.
      - Workload Automation on HCL SoFy
        An easy way to deploy HCL Workload Automation product components as Docker containers to a cloud-native environment.
      - Using the HCL Workload Automation managed service on Now
        Using the HCL Workload Automation managed service on Now.
        HCL Workload Automation on Now Readme File
      - Customizing container parameters
        The document describes how to avoid the overwriting of the customized parameters added in the container configuration files, such as the datasource.xml file.
      - Troubleshooting
    - Post-installation configuration
      The most common configuration steps to be performed after completing the installation.
  - Configuring
    Configuring HCL Workload Automation components after installation.
  - Upgrading
    How to upgrade HCL Workload Automation to the current version.
  - Applying a fix pack
    This section describes how to apply a fix pack to HCL Workload Automation, repair an updated version and return to a previous product version level.
  - Moving from on-premises to cloud
    A quick procedure to move your workload from an on-premises to a cloud environment
  - Troubleshooting installation, migration, and uninstallation
    An overview on troubleshooting installation, migration, and uninstallation of the HCL Workload Automation.
  - Uninstalling
    An overview on how to uninstall the product.
  - Reference
- User's Guide and Reference
- Administration Guide
- Scheduling with the Agent for z/OS
- Database Views
- Integrating
- High Availability Cluster Environment
- Driving HCL Workload Automation
- Extending HCL Workload Automation

Using the HCL Workload Automation managed service on Now

Using the HCL Workload Automation managed service on Now.

HCL Workload Automation on Now cloud-native-as-a-service provides the freedom to deploy anywhere and the flexibility to scale on a dedicated environment.

HCL Software administers the deployment and operation of the server components while you only need to install agents where you want to define, run, and monitor your workload, on cloud or on-premises. HCL Software uses HCL SoFy to deploy the server components and run them on Kubernetes.

See the readme file for more details about getting started with the HCL Workload Automation managed service on Now: HCL Workload Automation on Now Readme File.

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