OPTIMIZING RELIABILITY ACROSS DOMAINS: SRE PRACTICES IN VARIOUS INDUSTRIES
Keywords:
Site Reliability Engineering (SRE), Cross-industry Adaptability, Operational Resilience, Performance Optimization, RegulatoryAbstract
This comprehensive article explores the adaptation and implementation of Site Reliability Engineering (SRE) principles across diverse industries, highlighting the versatility and critical importance of these practices in today's interconnected digital landscape. The article systematically analyzes SRE applications in e-commerce, financial services, healthcare, gaming, telecommunications, media and entertainment, and transportation sectors; the article reveals how SRE practices are tailored to meet industry-specific challenges while maintaining core principles of reliability, scalability, and security. The article draws upon a literature review, case studies, and expert interviews to provide in-depth insights into each sector's unique requirements and innovative solutions. Key findings demonstrate that while SRE originated in the tech industry, its methodologies have proven highly adaptable, addressing challenges ranging from regulatory compliance in finance to patient data security in healthcare, and from latency optimization in gaming to content delivery in media. The article also uncovers common themes across industries, such as the critical need for high availability, robust security measures, and scalable infrastructure, while emphasizing the importance of industry-specific customizations. By examining the challenges and best practices in implementing SRE across various domains, this article offers valuable guidance for organizations seeking to enhance their operational resilience and efficiency in an increasingly digital world.
References
B. Beyer, C. Jones, J. Petoff, and N. R. Murphy, "Site Reliability Engineering: How Google Runs Production Systems," O'Reilly Media, Inc., 2016. [Online]. Available: https://sre.google/sre-book/introduction/
A. Lerner, A. Chrysanthou, F. Petrucci, and C. Loukas, "The State of Online Retail Performance," Akamai Technologies, 2017. [Online]. Available: https://s3.amazonaws.com/sofist-marketing/State+of+Online+Retail+Performance+Spring+2017+-+Akamai+and+SOASTA+2017.pdf
D. An, "Find out how you stack up to new industry benchmarks for mobile page speed," Google, 2018. [Online]. Available: https://think.storage.googleapis.com/docs/mobile-page-speed-new-industry-benchmarks.pdf
Financial Conduct Authority, "Building operational resilience: impact tolerances for important business services," Dec. 2019. [Online]. Available: https://www.fca.org.uk/publication/consultation/cp19-32.pdf
U.S. Securities and Exchange Commission, "Regulation Systems Compliance and Integrity," Nov. 2014. [Online]. Available: https://www.sec.gov/rules/final/2014/34-73639.pdf
V. Clincy and B. Wilgor, "Subjective Evaluation of Latency and Packet Loss in a Cloud-Based Game," 2013 International Conference on Information Technology Convergence and Services, 2013, pp. 15-21, doi: 10.1109/ITCS.2013.14. [Online]. Available: https://ieeexplore.ieee.org/document/6614351
Marie-Magdelaine, Nicolas & Ahmed, Toufik. (2020). Proactive Autoscaling for Cloud-Native Applications using Machine Learning. 1-7. 10.1109/GLOBECOM42002.2020.9322147. [Online]. Available: DOI:10.1109/GLOBECOM42002.2020.9322147
J. Alonso-Mora, S. Samaranayake, A. Wallar, E. Frazzoli and D. Rus, "On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment," Proceedings of the National Academy of Sciences, vol. 114, no. 3, pp. 462-467, 2017, doi: 10.1073/pnas.1611675114. [Online]. Available: https://www.pnas.org/content/114/3/462