This repository is the basic implementation of our publication in `FSE'23` conference paper [Nezha: Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-Modal Observability Data](./FSE2023_Nezha.pdf)
`Nezha` is an interpretable and fine-grained RCA approach that pinpoints root causes at the code region and resource type level by incorporative analysis of multimodal data. `Nezha` transforms heterogeneous multi-modal data into a homogeneous event representation and extracts event patterns by constructing and mining event graphs. The core idea of `Nezha` is to compare event patterns in the fault-free phase with those in the fault-suffering phase to localize root causes in an interpretable way.
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@@ -172,4 +174,4 @@ Please cite our FSE'23 paper if you find this work is helpful.
