Enhancing System Reliability with Self-Healing Tooling in Data-Critical Industries

Mahesh Mokale

doi:10.71097/IJSAT.v16.i1.3379

Enhancing System Reliability with Self-Healing Tooling in Data-Critical Industries

Author(s)	Mahesh Mokale
Country	United States
Abstract	Data-critical industries such as finance, healthcare, telecommunications, and e-commerce are increasingly reliant on highly available and resilient IT infrastructure to support real-time services, regulatory compliance, and customer expectations. These industries operate under strict service-level agreements (SLAs), where even minor downtime or system degradation can lead to significant operational, financial, or reputational damage. As the complexity and scale of modern digital systems continue to grow—driven by distributed architectures, cloud-native technologies, and the need for continuous delivery—traditional incident response models, which depend heavily on manual intervention, are proving inadequate. To meet these challenges, organizations are adopting self-healing tooling as a key strategy for improving system reliability. Self-healing systems leverage observability frameworks, automation pipelines, and AI/ML-based analytics to detect anomalies, diagnose root causes, and execute remediation actions without human intervention. These tools help reduce Mean Time to Recovery (MTTR), prevent cascading failures, and maintain service continuity under stress conditions. The growing prevalence of SRE and DevOps practices has accelerated this shift, pushing teams toward proactive and autonomous infrastructure management. This paper examines the architecture, implementation strategies, and tangible benefits of self-healing tooling within data-critical industries up to 2024. We explore real-world deployments, measure performance impacts, and discuss challenges such as debugging complexity and false positives. By highlighting industry adoption trends and future trajectories, this study underscores the transformative potential of self-healing capabilities in achieving operational excellence and setting a foundation for next-generation autonomous systems.
Field	Engineering
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-01-08
Cite This	Enhancing System Reliability with Self-Healing Tooling in Data-Critical Industries - Mahesh Mokale - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.3379
DOI	https://doi.org/10.71097/IJSAT.v16.i1.3379
Short DOI	https://doi.org/g9dgpm

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Enhancing System Reliability with Self-Healing Tooling in Data-Critical Industries

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