SITE RELIABILITY ENGINEERING PRACTICES FOR ERROR BUDGET MANAGEMENT IN LARGE-SCALE SYSTEMS

Site Reliability Engineering (SRE) has emerged as a critical discipline in managing the reliability, scalability, and operational efficiency of large-scale distributed systems. A core practice within SRE is the use of error budgets, which serve as a measurable threshold balancing reliability goals and innovation velocity. This paper examines SRE practices for error budget management in environments where service availability, latency, and resilience are under constant demand. It highlights how error budgets act as a negotiation tool between development and operations, allowing teams to align product delivery with user experience expectations. By analyzing monitoring frameworks, Service Level Objectives (SLOs), and incident response mechanisms, the paper explores how organizations can enforce accountability while avoiding over-engineering reliability. It further discusses adaptive strategies such as automated alerting, progressive rollouts, and chaos engineering experiments that help teams optimize reliability without hindering feature deployment. Case studies from large-scale cloud and platform services are used to demonstrate the effectiveness of proactive error budget policies in real-world scenarios. The findings suggest that structured error budget management enables organizations to make informed trade-offs, prioritize reliability investments, and maintain customer trust in dynamic production environments. The paper concludes that SRE-driven error budget practices are not only essential for operational excellence but also for enabling sustainable innovation in modern technology ecosystems.