Event-Driven Self-Healing Infrastructure: A Conceptual Framework for Intelligent Automation in Site Reliability Engineering

Since organizations have adopted microservice and cloud-native architectures, resilience and autonomous operations have become more and more popular. In this paper, the focus is an event-driven self-healing infrastructure concept at the Site Reliability Engineering (SRE). The framework allows proactive detective of incidents and their resolution without the involvement of humans by following up on the real-time observability pipelines, serverless automation, and AI-driven decision engines. It has been evaluated that the mean time to repair and recovery accuracy have significantly dropped as well as the operational cost. Complexity of integration and requirement to oversight in edge cases are other challenges studied in the paper, which provides a practical road map to achieving intelligent and self-managing systems that improve reliability of services provided.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-07-19
DOI
https://doi.org/10.52783/jisem.v10i57s.12320
Primary Topic
Software System Performance and Reliability
Type
article
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article

Event-Driven Self-Healing Infrastructure: A Conceptual Framework for Intelligent Automation in Site Reliability Engineering

Sunil Agarwal
Journal of Information Systems Engineering & Management
Software System Performance and Reliability
article

Event-Driven Self-Healing Infrastructure: A Conceptual Framework for Intelligent Automation in Site Reliability Engineering

Sunil Agarwal
article en

Abstract

Since organizations have adopted microservice and cloud-native architectures, resilience and autonomous operations have become more and more popular. In this paper, the focus is an event-driven self-healing infrastructure concept at the Site Reliability Engineering (SRE). The framework allows proactive detective of incidents and their resolution without the involvement of humans by following up on the real-time observability pipelines, serverless automation, and AI-driven decision engines. It has been evaluated that the mean time to repair and recovery accuracy have significantly dropped as well as the operational cost. Complexity of integration and requirement to oversight in edge cases are other challenges studied in the paper, which provides a practical road map to achieving intelligent and self-managing systems that improve reliability of services provided.

Journal of Information Systems Engineering & ManagementVol. 10(57s)
Technical Software Consulting (GB)
Openalex Percentile: Top 78%
Software System Performance and Reliability
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