Kubeflow is known as “Machine Learning toolkits for Kubernetes”. It is an open source project dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Kubeflow Pipelines is one of Kubeflow key components which provides a platform for building, deploying, and managing multi-step workflows on Kubernetes (based on Docker containers).
Db2 for z/OS is an enterprise grade database management system with high security, availability, scalability, and reliability.
In this article, I will illustrate how to leverage Kubeflow to create, invoke, and drop a database service.
BTW, developerworks will be sunsetted soon. I will find a new home for my articles/blog