Citation :

Krishna Vinnakota, Madhuri Kolla, "Site Reliability Engineering Practices for Enhancing Reliability of Large-Scale Cloud Services," International Journal of Computer Trends and Technology (IJCTT), vol. 74, no. 6, pp. 33-44, 2026. Crossref, https://doi.org/10.14445/22312803/IJCTT-V74I6P104

Abstract

Site Reliability Engineering (SRE) treats operations as a software problem to keep massive cloud services fast, scalable, and resilient. This paper breaks down how SRE bridges the gap between development and operations, using service-level management tools-SLIs, SLOs, and error budgets-to balance feature velocity with system uptime. This paper examines how Site Reliability Engineering (SRE) operates in practice, focusing on how teams handle outages, deploy new code safely, and plan for future traffic spikes. To make these practices work at scale, teams need the right technical tools. Because of this, we look at how to monitor systems using metrics, logs, and traces, and how to use automation and AI to fix problems automatically. Finally, we look at the human side of the job. We show how good team training and clear documentation keep engineers from burning out while keeping the system running smoothly. [1]

Keywords

Site Reliability Engineering (SRE), Cloud Reliability, Scalability, Efficiency, Software Engineering, Operational Practices, System Health, Downtime Reduction, Service Level Management, Incident Management, Change Management, Release Management, Capacity Planning, Resilient Infrastructure, Observability, Automation, Root Cause Analysis (RCA), Self-healing Systems, Infrastructure as Code (IaC).

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