Alert overload
Engineers had to work through large volumes of warnings and telemetry across multiple clusters before isolating the real source of failure.
Customer success story · Deutsche Bahn
Hyground operated inside Deutsche Bahn's environment to accelerate root-cause analysis in passenger information systems without sending operational data outside the VPC. 8-week proof of concept, DB Reisendeninformation, distributed Kubernetes environment.
The challenge
Deutsche Bahn's passenger information systems operate in a distributed cloud environment with multiple Kubernetes clusters, large telemetry volumes, and strict requirements for reliability and data handling.
"In stressful on-call situations, Hyground helped us access the exact system knowledge we needed much faster." PoC Team Member, DB RIS
Engineers had to work through large volumes of warnings and telemetry across multiple clusters before isolating the real source of failure.
Not every on-call engineer had the same system depth, which increased escalation and investigation time during critical incidents.
Sensitive operational data could not be sent to external cloud AI providers for analysis.
The solution
Hyground was deployed in a dedicated sandbox cluster inside Deutsche Bahn's environment and connected to the existing toolchain with read-only investigation paths.
Deployment via Helm chart and integrated with systems such as OpenSearch, Prometheus, and Kubernetes without changing the production operating model.
Hyground used telemetry and internal context to accelerate root-cause analysis and surface the relevant system knowledge for the on-call engineer.
Engineers received evidence-based findings and retained control over any production decision or action.
Results
"Based on the positive results, the rollout expanded toward additional business-critical applications and clusters." PoC Lead, DB RIS
The proof of concept materially reduced investigation time, including workflows in which root-cause assessment was produced in under five minutes.
Under 5 min
Root-cause assessment
Across the tested workflows, mean time to resolution dropped by as much as 85%, with deployment confined inside Deutsche Bahn's VPC.
Up to 85%
Lower MTTR
System knowledge became more accessible across the SRE team, reducing dependence on a small number of subject-matter experts.
Operational data remained inside Deutsche Bahn's VPC, supporting the organisation's data-handling requirements.
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