Brazil’s Vivo migrates IT production environment to Red Hat OpenShift

Details: John Tanner; Category: Cloud & Virtualisation; 02 March 2026; 4549 views

Red Hat announced on Sunday that Telefónica Brazil (a.k.a. Vivo) has migrated its business-critical service bus IT production environment from its legacy virtualisation stack to Red Hat OpenShift.

Red Hat said Vivo made the shift to deal with the challenge of eliminating the complexity and rising costs associated with its legacy stack by unifying management of its cloud-native applications and its remaining IT virtual machine (VM) workloads on a single, more consistent Kubernetes-powered platform.

By replacing the old virtualisation stack with an agile, scalable foundation for its IT-specific workloads, Vivo was able to reduce resource scaling time by 99% (from 24 hours to 10 minutes), and storage consumption by 95%, Red Hat said.

Meanwhile, response times for customer data collection and billing inquiries have been reduced by 42% and 61%, respectively, while patch update times have dropped from four hours to 20 minutes.

Red Hat also said that moving to a containerised architecture on bare metal has helped Vivo reduce IT CPU consumption by 55% and memory usage by 65%.

The move to OpenShift also propels Vivo toward autonomous intelligent operations by creating an environment ready for specialised AI models that can further optimize back-office performance and system efficiencies, said Gino Grano, global VP for Red Hat’s Americas communication service provider segment.

“By migrating business-critical workloads to Red Hat OpenShift, Telefónica Brazil has not only realised massive infrastructure savings but has also built a sovereign- and AI-ready foundation that can adapt as quickly as the market demands,” Grano said in a statement released in Barcelona on the eve of Mobile World Congress 2026.

“Modernizing our core infrastructure to an open hybrid cloud with Red Hat’s common cloud-native platform allows us to be more responsive to customer needs, reduces our environmental footprint through better resource utilisation, and provides the flexibility that we need to lead in the development of next-generation AI and cloud-native workloads,” added Guilherme Marinasco, senior manager of platform and product engineering at Vivo.