THE ROLE OF AUTOMATION IN ENHANCING EFFICIENCY AND REDUCING DOWNTIME IN SITE RELIABILITY ENGINEERING FOR CLOUD OPERATIONS
By Emily Grace Thompson
Research Article
THE ROLE OF AUTOMATION IN ENHANCING EFFICIENCY AND REDUCING DOWNTIME IN SITE RELIABILITY ENGINEERING FOR CLOUD OPERATIONS
ISSN: 3067-2538
DOI Prefix: 10.5281/zenodo.
Abstract
Automation plays a pivotal role in Site Reliability Engineering (SRE), significantly enhancing efficiency and reducing downtime in cloud operations. In the dynamic landscape of cloud computing, the ability to maintain high availability and performance while managing complex infrastructures is crucial. Automation streamlines repetitive tasks, such as deployment, monitoring, and incident response, allowing SRE teams to focus on strategic initiatives that improve system reliability and scalability. By leveraging automation tools, organizations can achieve consistency in operations, reduce human error, and ensure faster recovery from incidents, thereby minimizing downtime and enhancing overall system resilience. This paper explores the impact of automation on SRE practices, focusing on its role in optimizing cloud operations. It delves into key automation strategies, including infrastructure as code (IaC), automated monitoring and alerting systems, and self-healing mechanisms. The discussion highlights how automation enables proactive incident management, allowing for the early detection of issues and swift resolution without manual intervention. Furthermore, the paper examines case studies where automation has successfully reduced downtime and improved system reliability in cloud environments. The findings underscore the importance of integrating automation into SRE workflows to meet the demands of modern cloud operations. As cloud infrastructures evolve, the reliance on automation will become increasingly vital in ensuring efficient, reliable, and scalable services. The paper concludes by advocating adopting automation as a core component of SRE, emphasizing its potential to transform cloud operations by enhancing efficiency, reducing operational costs, and significantly minimizing the risk of downtime