Containers enable unprecedented portability of code and vastly simplify the deployment lifecycle of software applications, including install, patch, scale, and in-place updates. As a result, containerization is increasingly a critical part of modern information architecture because it enables seamless deployment of workloads across hybrid cloud environments. IBM Cloud Pak for Data is a data and AI platform architected for containerized microservices fully integrated with Red Hat OpenShift Container Platform. This includes the capabilities previously provided by the market leading IBM InfoSphere® Information Server platform which are now available as DataStage and IBM Watson Knowledge Catalog cloud-ready services on IBM Cloud Pak for Data.
This paper demonstrates upto 30% improvement in workload performance for IBM DataStage on Cloud Pak for Data, using a best in breed parallel engine and a new workload balancing feature to dynamically allocate available compute resources to balance workloads. This is critical for customers to have confidence that they can continue meeting their SLAs even as they modernize their information architecture.