The contemporary digital ecosystem increasingly depends on complex, distributed, and highly automated software systems that must operate with near continuous availability, accuracy, and resilience. Simultaneously, the global health sector has been undergoing a profound epistemological transformation through the adoption of evidence based practice as a normative framework for decision making, accountability, and professional legitimacy. While these two domains appear distinct, both are anchored in a shared commitment to disciplined use of evidence, structured risk management, and systematic learning from failure. This article develops an integrated theoretical and applied framework that synthesizes site reliability engineering error budget management with evidence based practice paradigms. By grounding technical reliability governance in epistemic principles derived from clinical and health system research, the study advances a new socio technical model of operational decision making. Drawing extensively on the site reliability engineering framework articulated by Dasari (2025), the analysis positions error budgets not merely as technical thresholds but as organizational instruments of governance, learning, and professional accountability. At the same time, classical and contemporary evidence based practice scholarship, including Haynes et al. (1997), Pope (2003), Melnyk et al. (2004), and Moosavi et al. (2020), is mobilized to show how human actors interpret, resist, and institutionalize formalized knowledge systems.

Through a qualitative integrative research design, the article synthesizes evidence from software observability, reliability engineering, and healthcare evidence based practice to construct a conceptual architecture capable of addressing uncertainty, complexity, and ethical risk. The results demonstrate that error budget governance functions analogously to clinical guidelines and care protocols, providing bounded flexibility while preserving safety and quality. Moreover, the analysis reveals that both domains struggle with similar barriers, including professional resistance, cognitive overload, organizational inertia, and misaligned incentives, as documented in studies of nurses, physicians, and allied health professionals across multiple national contexts. By interpreting error budgets as socio epistemic artifacts rather than purely technical metrics, this research reframes reliability engineering as a form of applied knowledge governance.

The findings suggest that integrating evidence based practice principles into site reliability engineering enables more transparent, adaptive, and ethically grounded system management. Conversely, importing error budget logic into healthcare and organizational decision making offers a powerful model for balancing innovation with safety. The article concludes by proposing a unified theory of evidence governed reliability, arguing that high reliability in both digital and clinical systems emerges not from perfect prediction but from disciplined, evidence informed tolerance of failure.

Site reliability engineering, error budgets, evidence based practice, observability

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