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

China's 1st enterprise multi-agent IT ops platform. LLM-powered auto-remediation for Zabbix/Prometheus. Docker deploy.

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.

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

AI-native OpenTelemetry APM with multi-agent root-cause analysis across traces, metrics, and service topology

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

Unified CloudOps platform with AI-SRE, AI-FinOps, AI-K8sOps, and the Agentic Automation Builder without fragmented tools, context switching, or model lock-in.

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

[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.

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.

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