" Empirical Resilience Metrics and Failure Patterns in Mission-Critical Financial Mainframe Infrastructures"

"Abstract:This dataset provides a comprehensive longitudinal technical analysis of performance metrics and resilience patterns within mission-critical IBM Mainframe (z\/OS) and high-end Storage (IBM 2105 Shark) ecosystems. Drawing from over 20 years of specialized L3 (Subject Matter Expert) interventions within the Brazilian National Financial System, the data categorizes critical hardware and microcode failure modes, Mean Time To Repair (MTTR) benchmarks, and the operational effectiveness of high-level recovery protocols.The objective of this dataset is to establish a technical framework for infrastructure engineers and disaster recovery specialists to maintain 99.999% availability in large-scale financial environments. By providing empirical data on incident management and systemic stabilization, this contribution serves as a vital resource for mitigating systemic risks in global banking architectures and advancing the standards of critical infrastructure governance. "