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By Dana Price, Dan Banta, Daniel Xu, Mark Sturdevant | Published October 16, 2018
If you have existing on-premises WebSphere® Application Server apps and can benefit by moving them to the cloud, this code pattern is for you. A simple demo app shows how to run a custom data collector to analyze an app and provide recommendations, cost estimates, and detailed reports to help with your transformation project. You see how to generate the artifacts you need and get your application deployed and running in a Liberty container on the cloud.
This code pattern uses the Transformation Advisor app to evaluate an on-premises traditional WebSphere Application Server application for deployment on public or private cloud environments. See how to use the Transformation Advisor integration with the Microclimate development environment to deploy the app in a Liberty container running on IBM Cloud Private. The pattern also shows how to download the generated migration bundle and use its Helm chart to deploy the containerized app to a public cloud: the Kubernetes Service on IBM Cloud.
A sample web app demonstrates a migration from an on-premises application to the cloud.
When you use this code pattern, you learn how to complete the following tasks:
Find detailed technical steps for this code pattern in the README.md file in the GitHub repository.
Enable autoscaling in your Kubernetes cluster and configure an app to automatically scale up or down based on CPU utilization.
Take a deep-dive into installing a scalable Cassandra solution on IBM Cloud Private and Kubernetes.
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