OpenShift has become a strategic platform for running applications in large scale enterprises.
DevOps proves to be a game-changer for enterprise IT departments wanting flexibility and speed in supporting their product development teams.
Business units and developers are leveraging cloud to drive business innovation and agility. And, they are seeing amazing results.
BBVA updated its IT systems with Red Hat to support digital transactions, ultimately delivering faster, better financial services for customers.
Learn more: http://www.redhat.com/en/success-stories/bbva
To simplify its data infrastructure and deliver better customer experiences, IAG streamlined its technology and became a more data-driven company.
Learn more: http://www.redhat.com/en/success-stories/iag
As organizations look to operationalize hybrid cloud strategies, it is critical to be able to interconnect clouds together. By using Ansible, organizations can be assured that applications are connected regardless of where the workload is running.
UPS, a global leader in logistics, used Red Hat solutions and a DevOps approach to streamline package tracking and delivery.
Learn more: http://www.redhat.com/en/success-stories/ups
AppAgile from Deutsche Telekom: Managed cloud services on OpenShift: Accelerate PaaS adoption for enterprises
It is easy to deploy OpenShift once – but it’s hard to set it up production ready for enterprises, deal with new versions, security, changes etc. within an enterprise environment.
Direccion Nacional de Migraciones de la Republica Argentina (Argentina’s National Migration Department) built a data platform with Red Hat to predict potential threats.
Building big data pipelines with SAP Data Hub with Red Hat OpenShift for Kubernetes container management
Join SAP BigData Product team to learn about the latest SAP technology that helps customers upgrade their legacy ETL jobs to distributed Data Piplelines by leveraging SAP Data Hub to build, orchestrate and share pipelines that connect data coming from BigData landscapes such as Hadoop, Spark and