Enterprises handling complex, high-stakes data workloads need modernization approaches that reduce risk and accelerate timelines. This customer story shows how Experian's Data Office modernized mission-critical .NET applications using AWS Transform for .NET. Through Agentic AI and automation, Experian saved about 300 engineering days across seven projects, enabling teams to meet core OKRs while improving speed and scalability. Read the story to see how a global data leader approached modernization, and contact gSolutions to discuss how similar approaches can support your goals.
What is Experian's approach to .NET modernization?
Experian is modernizing its legacy .NET applications by migrating them to .NET 8.0 using AWS Transform, an agentic AI service designed for this purpose. The company faced challenges such as the need to refactor applications, reliance on manual deployment processes, and maintaining custom libraries with integration dependencies. By leveraging AWS Transform, Experian has achieved a significant reduction in developer effort, saving approximately 300 engineering days across seven projects.
What benefits has Experian realized from using AWS Transform?
By using AWS Transform, Experian has realized several benefits, including a 40% reduction in developer effort, improved deployment automation, and consistent results across application upgrades. The project also resulted in the transformation of 687,600 lines of code, enhancing performance and enabling a more agile environment for innovation.
How does Experian ensure security during modernization?
Experian enhances security during its modernization efforts by utilizing Amazon EKS (Elastic Kubernetes Service) for containerization, which allows for scalable resource management and strengthens security through AWS's managed controls and network isolation. Additionally, they employ Amazon Q Developer Security Scan for vulnerability detection, ensuring that security is a priority throughout the modernization process.
Sign in with LinkedIn