The Role of Predictive Analytics in Modern SRE Practices: A Path to Self-Healing Systems
DOI:
https://doi.org/10.32628/CSEIT251112350Keywords:
Site Reliability Engineering (SRE), Predictive Analytics, Self-Healing Systems, Machine Learning Operations, Infrastructure AutomationAbstract
The integration of predictive analytics into Site Reliability Engineering (SRE) practices represents a transformative shift in managing complex digital systems. This article examines how predictive analytics is revolutionizing traditional SRE approaches, enabling organizations to transition from reactive incident management to proactive system maintenance. The article explores the evolution of SRE practices, analyzing how machine learning and statistical models enhance pattern recognition, automate response mechanisms, and optimize resource allocation. The article demonstrates that predictive analytics not only improves technical performance but also delivers significant environmental, economic, and societal benefits. Through comprehensive analysis of implementation challenges and best practices, the article provides insights into successful adoption strategies. The article indicates that organizations implementing predictive analytics in SRE achieve substantial improvements in service reliability, cost efficiency, and operational effectiveness, paving the way for truly self-healing systems.
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References
Jennifer Petoff, “Site Reliability Engineering to build high performance software and teams,” 2023, Available: https://research.google/pubs/site-reliability-engineering-to-build-high-performance-software-and-teams/
Research Publication, “Predictive Analytics in DevOps Forecasting Deployment Success(1),” October 2021, Available: https://www.researchgate.net/publication/383425158_Predictive_Analytics_in_DevOps_Forecasting_Deployment_Success1
Nagarjuna Malladi, “The Evolving Landscape of Site Reliability Engineering: Research and Innovations,” 2024, Available: https://www.ijraset.com/best-journal/the-evolving-landscape-of-site-reliability-engineering-research-and-innovations
Vishal Padghan, “The Role of AI in SRE: Revolutionizing System Reliability and Efficiency,” October 10, 2024, Available: https://www.squadcast.com/blog/the-role-of-ai-in-sre-revolutionizing-system-reliability-and-efficiency
Teshome Debushe Adugna, et al, “A Review of Pattern Recognition and Machine Learning,” January 2024, Available: https://www.researchgate.net/publication/377197053_A_Review_of_Pattern_Recognition_and_Machine_Learning
Chris Tozzi, “16 metrics that matter in cloud performance monitoring,” 19 Sep 2024, Available: https://www.techtarget.com/searchcloudcomputing/feature/Metrics-that-matter-in-cloud-application-monitoring
Jeyasri Sekar, “Artificial Intelligence-Driven Predictive Analytics for Cloud Capacity Planning,” August 2023, Available: https://www.researchgate.net/publication/382204608_Artificial_Intelligence-Driven_Predictive_Analytics_for_Cloud_Capacity_Planning
Mohsen Attaran, et al, “Opportunities and Challenges of Implementing Predictive Analytics for Competitive Advantage,” July 2018, Available: https://www.researchgate.net/publication/326332872_Opportunities_and_Challenges_of_Implementing_Predictive_Analytics_for_Competitive_Advantage
Atul Soni, et al, “Evaluating the Impact of Data Quality on Machine Learning Model Performance,” January 2023, Available: https://www.researchgate.net/publication/376561510_Evaluating_the_Impact_of_Data_Quality_on_Machine_Learning_Model_Performance
Jayanna Hallur, “The Future of SRE: Trends, Tools, and Techniques for the Next Decade,” 2024, Available: https://www.ijsr.net/archive/v13i9/SR24927125336.pdf
Nurudeen Hussain, et al, “AI-driven predictive analytics for proactive security and optimization in critical infrastructure systems,” October 2021, Available: https://www.researchgate.net/publication/387276994_AI-driven_predictive_analytics_for_proactive_security_and_optimization_in_critical_infrastructure_systems
Evan Kaplan, “Five Key Trends Shaping The Future Of Predictive Analytics,” Oct 5, 2023, Available: https://www.forbes.com/councils/forbestechcouncil/2023/10/05/five-key-trends-shaping-the-future-of-predictive-analytics/
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