Troubleshooting issues in modern cloud systems is a time-consuming and tedious task. Distributed Tracing captures relevant information such as the graphical structure as well as the temporal execution information to make it easier for operators to investigate and triage issues. To investigate incidents, operators often need to compare the structural and temporal properties of a trace representing an error execution with a reference trace representing a successful execution. Pair-wise comparison of traces is challenging as the traces are large and multi-dimensional.

In this abstract, we propose a novel way of comparing distributed traces by leveraging the generative powers of LLMs. We present an initial design of our system, Parallax, which uses two different types of LLM agents - Summarizer and Comparer. Summarizer generates independent summaries of the two traces and feeds them as input into the Comparer which highlights the differences between the two summarized executions.