Northrop Grumman scales enterprise Kubernetes for AI and hybrid cloud with Red Hat OpenShift

Northrop Grumman scales enterprise Kubernetes for AI and hybrid cloud with Red Hat OpenShift Standardizing on Red Hat OpenShift Embracing a managed service for velocity and scale The push to hybrid cloud and GitOps Next stop: Red Hat OpenShift AI and high-performance computing Red Hat OpenShift Container Platform | Product Trial About the author Debbie Margulies More like this How DTCC uses GitOps to accelerate customer value and security Dell Technologies modernizes the developer experience with Red Hat OpenShift Dev Spaces Where Coders Code | Command Line Heroes What Kind of Coder Will You Become? | Command Line Heroes Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The journey to enterprise-wide Kubernetes adoption can be a "wild, wild west" of disparate environments and challenging security for some organizations. That's the landscape Northrop Grumman faced in 2020. At Red Hat OpenShift Commons Gathering , software engineering managers Joe McConnell and Randy Ellefson shared the lessons they learned while building a modern, multicloud Kubernetes platform for Northrop Grumman built on Red Hat OpenShift. Image 1: From Left, Randy Ellefson and Joe McConnell, Northrop Grumman’s Chief Information and Digital Office Initially, Northrop Grumman was looking for a highly available, low-cost, multicloud, secure environment for containerized applications. They chose Red Hat OpenShift to be the central part of their core infrastructure, taking advantage of its comprehensive suite of modern application tools to create a holistic, single platform. This strategic relationship with Red Hat was essential for support, as the company aimed to reduce labor requirements by building a fully self-service platform. A year after the initial deployment, the team achieved high availability and a fully self-service platform, allowing customers to trigger any request via an automated API. They also successfully implemented GitOps managed releases. This transition empowered the organization to achieve the following results: Red Hat OpenShift successfully enabled a self-service model, automating all customer requests via a streamlined API. By taking advantage of Red Hat Advanced Cluster Security within the Red Hat OpenShift ecosystem, the team moved beyond a failed centralized model to a more flexible, automated process that allowed individual programs to efficiently scan and adjudicate their own vulnerabilities. The platform’s versatility allowed the team to pivot from complex, legacy migrations to rapidly onboarding greenfield applications and modern Commercial Off-The-Shelf (COTS) tools for AI and machine learning (M/L), providing customers with all the capabilities of a modern infrastructure, including a security-hardened environment. They choose Red Hat to help them navigate the complexity of their Kubernetes adoption.