Enhancing API Reliability and Performance: Applying Google SRE Principles for Advanced Monitoring and Resilient Operations
DOI:
https://doi.org/10.47941/ijce.2534Keywords:
Site Reliability Engineering, Reliability, Resiliency, Application Health, Google Sre, Error Budget, Service Level Objectives, Service Level IndicatorsAbstract
Purpose: The purpose of this article is to explore and adapt the google SRE principles for improving the reliability and performance of applications and APIs. This article explains the details of adapting google SRE principles with practical examples and decisions for proactive monitoring the applications.
Methodology: The article explains a case study and analysis to demonstrate how Google SRE principles [1] help to improve the reliability, performance and decision on release of new functionalities to the critical application. Site Reliability Engineering at Google provides a practical leading toward that direction. Such principles are referred as SLOs, SLIs, error budgets, and proactive monitoring, come into play to balance system reliability and innovations for every organization.
Findings: The findings show that by adapting Google SRE principles [2], reliability of the applications are improved and helps developers to prioritize the new features releases vs improving the reliability. This article takes a closer look at some of the ways in which SRE practices can help enhance the resiliency of an application, considering two very important examples: API availability and database reliability.
Unique Contribution to Theory, Practice and Policy: This article makes valuable contributions to theory, practice, and policy. For theory, it expands the understanding of how google SRE principles helps to improve application reliability and performance. For practice, it provides clear, actionable steps for SRE teams to identify and resolve performance issues, helping organizations enhance reliability and user satisfaction. For policy, it highlights the importance of proactive network monitoring and metric-driven decision-making, encouraging organizations to adopt policies that prioritize resiliency, ensure consistent performance, and meet service-level agreements (SLAs). This article provides practical insights and examples to help teams implement SRE and achieve greater reliability and scalability.
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References
Beyer, B., Jones, C., Petoff, J., & Murphy, N. R. (2016). Site Reliability Engineering: How Google Runs Production Systems. O'Reilly Media.
Google Engineering Blog. (2018). The Evolution of SRE at Google.
Jayanna Hallur, "The Future of SRE: Trends, Tools, and Techniques for the Next Decade", International Journal of Science and Research (IJSR), Volume 13 Issue 9, September 2024, pp. 1688-1698, https://www.ijsr.net/getabstract.php?paperid=SR24927125336, DOI: https://www.doi.org/10.21275/SR24927125336
Holgate, T. (2021). Balancing Innovation and Reliability in Site Reliability Engineering. Journal of Modern IT Operations, 7(3), 15-25.
Richter, C., & Shah, S. (2020). The Importance of SLOs and SLIs in Modern DevOps. International Journal of IT Frameworks, 12(4), 45-56.
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Burns, B., Oppenheimer, D., Brewer, E. A., & Wilkes, J. (2019). Kubernetes: Up and Running. O'Reilly Media. This resource discusses automation and dynamic scaling strategies that align with SRE practices, emphasizing the importance of tools like Kubernetes in managing reliability and scalability.
Jayanna Hallur, 2024. "Significant Advances in Application Resiliency: The Data Engineering Perspective on Network Performance Metrics," Journal of Technology and Systems, CARI Journals Limited, vol. 6(7), pages 60-71.
K. Godavarthi, J. Hallur and S. Das, "Foundation Models for Big Data: Enabling AI-Powered Data Insights to Accelerate Business Outcomes and Achieve Sustainable Success," 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 4727-4736, doi: 10.1109/BigData62323.2024.10825551.
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Copyright (c) 2025 Jayanna Hallur
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
