Deploying with containers

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 or Windows workstation, regardless of any different settings between the source and the target workstation.

Docker adoption ensures standardization of your workload scheduling environment 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.

Docker containers are available for UNIX, Windows and Linux on Z operating systems.

You can also use docker containers to store all the latest integrations available on Automation Hub. For further information see: Container plug-in.

Deploy and manage IBM Workload Scheduler containerized product components on the Azure AKS, a container orchestration service available on the Microsoft Azure public cloud. You can use Azure AKS to deploy, scale up, scale down and manage containers in the cluster environment. You can also deploy and run an Azure SQL database.

For more information, see Deploying on Azure AKS.

Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The Google GKE environment consists of multiple machines grouped together to form a cluster. You can also deploy and run Google Cloud SQL for SQL server.

For more information, see Deploying on Google GKE.

You can deploy the IBM Workload Automation components using IBM certified containers. For further information, see Deploying IBM Workload Automation components using helm charts.