Automated Root Cause Analysis in Distributed Micro services Systems Using Hybrid AI Techniques

Umamaheswararao Mogili

doi:10.64643/ijirtv12i11-195542-459

March 30, 2026International Journal of Innovative Research in TechnologyOpen Access

Automated Root Cause Analysis in Distributed Micro services Systems Using Hybrid AI Techniques

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Key Points

The aim is to evaluate techniques for automated root cause analysis in distributed microservices systems.
Utilized hybrid AI techniques for analysis.
Assessed the performance of various automated methods.
Investigated root cause identification in cloud-based applications.
Demonstrated significant improvement in root cause identification speed.
Showed enhanced accuracy in pinpointing system failures.
Highlighted the effectiveness of hybrid AI approaches over traditional methods.

Implication

Evaluation of automated root cause analysis effectiveness in distributed systems, suggesting improved identification of issues.

Abstract

Explore the article titled Automated Root Cause Analysis in Distributed Micro services Systems Using Hybrid AI Techniques from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Umamaheswararao Mogili (2026) studied this question.

synapsesocial.com/papers/69ccb75916edfba7beb89413 https://doi.org/10.64643/ijirtv12i11-195542-459

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Automated Root Cause Analysis in Distributed Micro services Systems Using Hybrid AI Techniques

Key Points

Implication

Abstract

Discussion

Cite This Study

Automated Root Cause Analysis in Distributed Micro services Systems Using Hybrid AI Techniques

Key Points

Implication

Abstract

Discussion

Cite This Study

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