Deploying HCL Workload Automation with Linux on Z Docker containers

The deployment of HCL Workload Automation is easier and faster with Linux on Z Docker containers.

A wide variety of enterprises such as manufacturing, government agencies, financial services, and many more use mainframe systems for many high-throughput applications and services.

Applications on mainframe systems are at the core of most systems but rewriting and refactoring them for a different platform is expensive and time-consuming. The combination of standardization of your workload scheduling environment with the performance and resiliency of mainframe systems allows you to safely run the most critical applications at a very large scale.

Docker is a state-of-the-art technology which creates, deploys, and runs applications by using containers. Packages are provided containing an application with all of the components it requires, such as libraries, specific configurations, and other dependencies, and deploy it in no time on any other Linux on Z workstation, regardless of any different settings between the source and the target workstation.

Docker adoption ensures and provides an easy method to replicate environments quickly in development, build, test, and production environments, speeding up the time it takes to get from build to production significantly. Install your environment using Docker to improve scalability, portability, and efficiency.

With just a few, simple commands you can install one or more of the out-of-the-box packages provided. The provided packages are as follows:
  • HCL Workload Automation Console
  • HCL Workload Automation dynamic agent
  • HCL Workload Automation z-centric agent

Requires Docker compose to be installed on the local workstation.

For more information about deploying Docker compose, see Deploying Docker compose on Linux on Z. For more information about the deployment with containers on Linux on Z, see Deploying containers with Docker.