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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 10.2.
Planning and Installation
Installing HCL Workload Automation
Available installation methods
Deploying with containers
Deploy HCL Workload Automation quickly and easily with containers.
Troubleshooting

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 10.2.
- 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 using helm charts
        Deploy the HCL Workload Automation product component containers on a Red Hat OpenShift, V4.x environment by using helm charts.
      - Deploying from Amazon Web Services (AWS) Marketplace
        This publication provides detailed information about how to find, subscribe and deploy HCL Workload Automation directly on AWS Marketplace. A cloud deployment ensures access anytime anywhere and is a fast and efficient way to get up and running quickly.
      - 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.
      - 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.
      - Deploying AI Data Advisor
        You can deploy AI Data Advisor (AIDA) by using Docker or Kubernetes.
      - Troubleshooting
        Container maintenance procedure
        Check how to avoid POD restart during maintenance.
        Container deployment issues
        Check the steps to do if you run into deployment issues.
        CURL error 35
        This document explains how to solve the CURL error 35 error that might occur on the agent.
    - 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.
  - 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
- High Availability Cluster Environment
- Driving HCL Workload Automation
- Extending HCL Workload Automation

Troubleshooting

Version 10.2

This guide describes how to resolve problems with HCL Workload Automation containers. It describes the tools available to help you troubleshoot problems and details many known problem scenarios, and their solutions.