Self-Healing Observability Pipelines: Autonomous Recovery for Distributed  Systems

Hardik R Patel

Self-Healing Observability Pipelines: Autonomous Recovery for Distributed Systems

Authors

Hardik R Patel

Keywords:

Self-healing Systems, Observability Pipelines, Distributed Systems Monitoring, Autonomous Recovery, Telemetry Infrastructure, Machine Learning Anomaly Detection

Abstract

Modern distributed computing environments rely increasingly on observability pipelines that gather,process, and forward telemetry data via elaborate microservices architectures. Conventional trackingsystems have severe weaknesses, where observability infrastructure components fail, resulting in perilous blind spots precisely

References

Ranjith Kumar Ramakrishnan et al., "Enhancing Distributed System Reliability through RequestLevel Fault Injection and Fine-Grained Tracing," 2025. [Online]. Available: https://d197for5662m48.cloudfront.net/documents/publicationstatus/269339/preprint_pdf/19641f1fb3df9 76d2fbe70f2218b0bbe.pdf

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Published

2025-11-08

How to Cite

Hardik R Patel. (2025). Self-Healing Observability Pipelines: Autonomous Recovery for Distributed Systems . Journal of Computational Analysis and Applications (JoCAAA), 34(10), 374–386. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4046