Modernize Your Applications with IBM and CDW
IT strategies are shifting to serve an increasingly always-on world and, for many organizations, it has meant accelerating digital transformation efforts. Managing and modernizing critical processes and operations remain top priorities for IT leaders who want to find new ways to gain advantage and opportunity in a fluctuating environment.
Red Hat OpenShift is a trusted Kubernetes enterprise platform that supports modern, hybrid-cloud application development and provides a consistent foundation for applications across physical, virtual, private and public clouds. Red Hat OpenShift and IBM Cloud® Paks on IBM Power bring the consistency developers need to build and deploy cloud-native applications across the hybrid cloud and accelerate the path to application modernization.
Modernize and build cloud-native applications
Red Hat OpenShift lets organizations accelerate their cloud-native journey with a trusted platform to build new cloud-native, containerized applications, while benefiting from the reliability, adaptability and performance from IBM Power.
Efficient cloud infrastructure scaling
Red Hat OpenShift enables applications to scale to thousands of instances across hundreds of nodes in seconds, providing the power to respond to unpredictable demands. IBM Power provides a pay-per-use consumption model in both on-premise and off-premise environments and can scale applications up and down based on demand.
Proven security and reliability
IBM Power supports live partition mobility for uninterrupted access to critical data and applications, giving teams the confidence they need to develop and deploy applications more securely. The compute infrastructure reduces unplanned downtime with less than two minutes per year, reducing impact for end users and critical business processes.
Infrastructure cost savings
Red Hat OpenShift on IBM Power optimizes infrastructure costs by reducing the number of servers needed without impacting performance. Teams can maximize cloud infrastructure utilization by dynamically allocating cores to busy worker nodes in shared processor pools.