Publication Date
Spring 2025
Degree Type
Master's Project
Degree Name
Master of Science in Computer Science (MSCS)
Department
Computer Science
First Advisor
Navrati Saxena
Second Advisor
William Andreopoulos
Third Advisor
Abhishek Roy
Keywords
Distributed Tracing, Artificial Intelligence, Large Language Models, Chatbot, Jaeger, OpenTelemetry
Abstract
Distributed systems are difficult to trace using traditional methods due to the scale of data volume and complexity, and they usually require a lot of manual analysis. TraceAI tries to solve these problems by integrating Large Language Models with the tracing tools to automatically enhance the trace data evaluation. The project aims to provide an AI-driven solution for monitoring and understanding the flow of requests across services, anomaly detection, root cause analysis and performance optimization. It can thus automate finding out systems problems using LLMs thereby carrying out large scale trace data analysis. Anticipated results from the effort will be a prototype AI (Artificial Intelligence) Chatbot enhancing efficiency of tracing workflow significantly that performs the given requirements faster, making systems reliable while ensuring higher performance from a complex distributed setup.
Recommended Citation
Satra, Mihir Dhirajlal, "TraceAI: Intelligent Distributed Tracing Using Large Language Models" (2025). Master's Projects. 1506.
DOI: https://doi.org/10.31979/etd.dhmj-6tgn
https://scholarworks.sjsu.edu/etd_projects/1506
