Incident management systems are critical to maintaining the reliability, availability, and performance of modern digital services. As software systems become increasingly complex and distributed, traditional reactive approaches to incident response are no longer sufficient. This explores the development of robust incident management systems centered on three core pillars: proactive alerting, centralized log aggregation, and continuous developer feedback loops. Together, these components enable organizations to detect, analyze, and resolve incidents more effectively while fostering a culture of shared responsibility and continuous improvement. Proactive alerting mechanisms leverage both static thresholds and machine learning-based anomaly detection to identify issues before they escalate into outages. By incorporating multi-channel notifications and intelligent alert suppression techniques, such systems reduce alert fatigue and ensure timely responses. Centralized log aggregation further enhances visibility by consolidating logs from diverse services and infrastructure components into unified dashboards, enabling rapid root cause analysis through real-time querying, correlation, and filtering. Equally important is the integration of structured developer feedback into the incident lifecycle. Involving developers in on-call rotations, conducting blameless post-incident retrospectives, and embedding learnings into CI/CD pipelines closes the loop between operations and development. This fosters a proactive reliability culture, where alerts, logging practices, and failure handling evolve based on real-world experience. The proposed framework is particularly applicable in microservices-driven, high-availability environments, including SaaS, financial services, and mission-critical platforms. Evaluation metrics such as Mean Time to Detection (MTTD), Mean Time to Resolution (MTTR), and incident recurrence rates demonstrate the tangible benefits of this approach. Ultimately, by integrating proactive alerting, log observability, and developer-driven improvements, organizations can significantly enhance their incident response capabilities and build resilient systems prepared for both expected and unforeseen challenges in production environments.
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Eseoghene Daniel Erigha
Ehimah Obuse
Babawale Patrick Okare
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Kennesaw State University
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Erigha et al. (Thu,) studied this question.
www.synapsesocial.com/papers/68c1e25454b1d3bfb60ffbb8 — DOI: https://doi.org/10.32628/cseit22553