Case Study: Deutsche Bahn speeds up incident diagnosis with Hyground

Deutsche Bahn cuts incident diagnosis time by under 5 min with Hyground

Deutsche Bahn, Germany's national railway company, faced significant challenges in managing incident diagnosis for its passenger information systems. Operating in a complex, distributed Kubernetes environment with strict data sovereignty requirements, their engineers were overloaded with alerts and hampered by knowledge concentration among a few experts. They partnered with Hyground to find a solution that could operate within their own data-handling boundaries without sending sensitive operational data externally.

Hyground deployed its solution inside Deutsche Bahn's virtual private cloud, integrating with their existing toolchain to provide context-aware, AI-assisted investigation. This human-governed workflow enabled faster root-cause analysis. The results were substantial, with Hyground helping to reduce investigation times to under five minutes in some cases and lowering mean time to resolution by up to 85%, all while keeping operational data securely within Deutsche Bahn's own environment.

Deutsche Bahn