How Banco do Brasil uses hyperautomation and platform engineering to drive efficiency

How Banco do Brasil uses hyperautomation and platform engineering to drive efficiency Scalability through capabilities and hyperautomation Driving sustainability with FinOps and GreenOps Transforming the developer experience Accelerating the journey with artificial intelligence Start your own automation journey 5 steps to automate your business About the author Debbie Margulies More like this 2025 Red Hat Ansible Automation Platform: A year in review New observability features in Red Hat OpenShift 4.20 and Red Hat Advanced Cluster Management 2.15 Technically Speaking | Taming AI agents with observability You Can’t Automate Cultural Change | Code Comments Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share At the recent OpenShift Commons gathering in Atlanta, we had the opportunity to hear from Gustavo Fiuza, IT leader, and Welton Felipe, DevOps engineer, about the remarkable digital transformation at Banco do Brasil. As the second-largest bank in Latin America, they manage a massive scale, serving 87 million customers and processing over 900 million business transactions daily. We learned how they evolved from a siloed community Kubernetes environment to a highly efficient, hybrid multicloud platform powered by Red Hat OpenShift. A primary takeaway from their session was the concept of "capabilities" as the building blocks of their standardized environment. Instead of managing hundreds of unique clusters manually, the team treats infrastructure features—such as ingress controllers and monitoring stacks—as versionable components with dedicated owners. This shift allows them to bring new clusters to life using a metadata-driven "hyperautomation" stack that leverages Red Hat operators and Argo CD. Their containerized environment now spans over 140 clusters comprising more than 7,500 nodes. "C apabilities and hyperautomation are what makes scalable management possible. " — Welton Felipe, Banco do Brasil We were particularly impressed by how Banco do Brasil integrates efficiency and sustainability directly into its platform engineering. By implementing "quality processes" like FinOps and GreenOps, they track real-time resource allocation and carbon footprints across thousands of namespaces. This data-driven approach has already helped the bank reach 33% efficiency across its environments, moving steadily toward its strategic target of 40%. The transition to OpenShift has fundamentally empowered more than 2,000 developers who now carry out an average of 3,900 monthly deployments.