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Integrating Large Language Models with Cloud-Native Observability for Automated Root Cause Analysis and Remediation

2025-12-22

Abstract excerpt

Cloud-native systems based on microservices, containers, and server- less architectures present unprecedented challenges for observabil- ity and incident management. Traditional rule-based monitoring and manual root cause analysis are increasingly inadequate for han- dling the complexity and scale of modern distributed systems. This paper presents a novel framework that leverages large language models (LLMs) to en...

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Literature Corpus work
3b5d0615-6415-52e9-93f5-7109aff6a148
DOI
10.20944/preprints202512.1926.v1
Open publication

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Integrating Large Language Models with Cloud-Native Observability for Automated Root Cause Analysis and RemediationDOI 10.20944/preprints202512.1926.v1
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