GitHub - azamikram/rcd: Root Cause Discovery: Root Cause Analysis of Failures in Microservices through Causal Discovery

Introduction

Source code for Root Cause Analysis of Failures in Microservices through Causal Discovery.

Setup

The following insutrctions assume that you are running Ubuntu-20.04.

Install python env

sudo apt update
sudo apt install -y build-essential \
                    python-dev \
                    python3-venv \
                    python3-pip \
                    libxml2 \
                    libxml2-dev \
                    zlib1g-dev \
                    python3-tk \
                    graphviz

cd ~
python3 -m venv env
source env/bin/activate
python3 -m pip install --upgrade pip

Install dependencies

git clone https://github.com/azamikram/rcd.git
cd rcd
pip install -r requirements.txt

Link modifed files

To implement RCD, we modified some code from pyAgrum and causal-learn. Some of these changes expose some internal information for reporting results (for example number of CI tests while executing PC) or modify the existing behaviour (local_skeleton_discovery in SekeletonDiscovery.py implements the localized approach for RCD). A few of these changes also fix some minor bugs.

Assuming the rcd repository was cloned at home, execute the following;

ln -fs ~/rcd/pyAgrum/lib/image.py ~/env/lib/python3.8/site-packages/pyAgrum/lib/
ln -fs ~/rcd/causallearn/search/ConstraintBased/FCI.py ~/env/lib/python3.8/site-packages/causallearn/search/ConstraintBased/
ln -fs ~/rcd/causallearn/utils/Fas.py ~/env/lib/python3.8/site-packages/causallearn/utils/
ln -fs ~/rcd/causallearn/utils/PCUtils/SkeletonDiscovery.py ~/env/lib/python3.8/site-packages/causallearn/utils/PCUtils/
ln -fs ~/rcd/causallearn/graph/GraphClass.py ~/env/lib/python3.8/site-packages/causallearn/graph/

Using RCD

Generate Synthetic Data

Executing RCD with Synthetic Data

./rcd.py --path [PATH_TO_DATA] --local --k 3

--local options enables the localized RCD while --k estimates the top-k root causes.

Running RCD with varying number of nodes

./compare.py

./plot_exp.py exp_results/[TIMESTAMP]