ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title
AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis
Authors
Akhash Kumar A , Goutham S P , Sethumadhavan N , Sheik Mohamed Rashid D , Illakiya G
Keywords
Site Reliability Engineering, Anomaly Detection, Isolation Forest, Generative AI, Root Cause Analysis, AIOps, Streamlit, Chaos Engineering, Incident Management, Machine Learning
Abstract
Modern distributed systems demand proactive and intelligent incident management to maintain service reliability and reduce mean time to recovery (MTTR). This paper presents AgileCopilot, a proof-of-concept AI-powered Site Reliability Engineering (SRE) module that integrates Machine Learning (ML) anomaly detection with Generative AI root cause analysis (RCA). The system comprises four components: a Victim Service simulating a live web application with controllable fault injection, an ML-based Watchdog using the Isolation Forest algorithm, an AI Investigator powered by Gemini Generative AI, and a real-time Streamlit monitoring dashboard. The Watchdog monitors CPU utilization, memory consumption, and HTTP response latency; upon detecting an anomaly validated by a heuristic intensity filter, it triggers the AI Investigator to produce a structured JSON report containing the root cause and remediation steps. Experimental results demonstrate accurate detection of injected anomalies while suppressing false positives during normal operation, validating the effectiveness of combining unsupervised ML with rule-based filtering. AgileCopilot demonstrates the viability of embedding autonomous SRE intelligence into software engineering workflows.
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IJCRT — journal style
"AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 3, page no.e767-e771, March 2026, Available :https://ijcrt.org/papers/IJCRT2603566.pdf
APA — 7th edition
A, A. K., P, G. S., N, S., D, S. M. R., & G, I. (2026). AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis. International Journal of Creative Research Thoughts, 14(3), e767-e771. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603566
MLA — 9th edition
A, Akhash Kumar, et al. "AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis." International Journal of Creative Research Thoughts, vol. 14, no. 3, 2026, pp. e767-e771, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603566.
Chicago — 17th, bibliography
A, Akhash Kumar, et al. "AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis." International Journal of Creative Research Thoughts 14, no. 3 (2026): e767-e771. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603566.
Harvard — author–date
A, A.K. et al. (2026) 'AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis', International Journal of Creative Research Thoughts, 14(3), pp. e767-e771. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603566
IEEE — numbered reference
A. K. A, G. S. P, S. N, S. M. R. D and I. G, "AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis," IJCRT, vol. 14, no. 3, pp. e767-e771, Mar. 2026.
Vancouver — biomedical
A AK, P GS, N S, D SMR, G I. AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis. IJCRT. 2026 Mar;14(3):e767-e771.
AMA — 11th edition
A AK, P GS, N S, D SMR, G I. AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis. IJCRT. 2026;14(3):e767-e771. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603566
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2603566,
author = {Akhash Kumar A and Goutham S P and Sethumadhavan N and Sheik Mohamed Rashid D and Illakiya G},
title = {AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {3},
pages = {e767-e771},
year = {2026},
month = {March},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603566}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - A, Akhash Kumar
AU - P, Goutham S
AU - N, Sethumadhavan
AU - D, Sheik Mohamed Rashid
AU - G, Illakiya
TI - AgileCopilot: An Ai-Driven Site Reliability Engineering Framework With Machine Learning Anomaly Detection And Generative Ai Root Cause Analysis
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 3
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603566
SP - e767-e771
ER -
Issue
Volume 14 Issue 3,
March-2026
Pages : e767-e771
Article Information
- Pages
- e767-e771
- Published
- March 2026
- Registration ID
- IJCRT_303320
- Published Paper ID
- IJCRT2603566
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- kallakurichi, Tamil nadu, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 138
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603566
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2603566.pdf
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International Journal of Creative Research Thoughts
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