eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.

Build your own AI SRE agents. The open source toolkit for the AI era.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

OpenChatBI is an intelligent chat-based BI tool powered by large language models, designed to help users query, analyze, and visualize data through natural language conversations. It uses LangGraph and LangChain to build chat agent and workflows that support natural language to SQL conversion and data analysis.

[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?

Aurora — Open source AI-powered agentic incident management & root cause analysis for SREs. LangGraph agents investigate across AWS, Azure, GCP, Kubernetes. Integrates with PagerDuty, Datadog, Grafana, Slack and More. Apache 2.0.

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.

国内首个企业级 IT 运维多 Agent 自动化平台 — 基于大语言模型的智能运维解决方案。ITOps Agent Platform 是一个企业级全栈运维自动化平台，通过可视化工作流编排，将多个AI Agent组合成智能运维自动化流水线，实现服务器管理、告警处理、故障诊断、日志分析、脚本管理、定时运维任务的自动化执行，支持火山引擎/OpenAI双LLM模型。

[FSE'26, WWW'25, ASE'24] RCAEval: A Benchmark for Root Cause Analysis.

Papers about Root Cause Analysis in MicroService Systems. Reference to Paper Notes: https://dreamhomes.top/

Official implementation of RiskLoc, a method for localizing multi-dimensional root causes in time-series data.

Root Cause Analysis for Kubernetes

AERCA: Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery (ICLR 2025 Oral)

This repository contains a reading list of papers on multivariate time series anomaly detection. This repository is still being continuously improved.

[FSE'24 - 🏆 Best Artifact Award] BARO: Robust Root Cause Analysis for Time Series Data.

Awesome resources for failure diagnosis research.

Multi-Agent Debugger: An AI-powered debugging system using CrewAI to orchestrate specialized agents that analyze logs, trace code, and uncover root causes across your stack — powered by LLM providers.

A curated list of 100+ AI-powered tools, platforms, and resources for Site Reliability Engineering (SRE) — agents, incident management, observability, AIOps, chaos engineering, and more.