Awesome AI for Infra › Root Cause Analysis

openrca/orca

⭐ 110 Python added to this list on 2026-06-14 repository created 2019-10-28

OpenRCA is a project dedicated to facilitating the inference of root causes for issues arising within Kubernetes clusters. It functions by building a dynamic, real-time topology graph of the cluster. This graph is continuously enriched with telemetry data gathered from integrated sources such as Prometheus, Elasticsearch, Falco, and Istio. By leveraging this combined data, OpenRCA offers operators a powerful analytical toolkit to address common operational challenges, including application failures, performance bottlenecks, and misconfigurations. The platform includes algorithms designed to analyze the collected graph data and pinpoint the sources of complex cluster defects, enabling automated root cause inference. Beyond automated analysis, it also supports post-mortem analysis and provides a diagnostics framework for common applications like databases and message queues. OpenRCA aims to enhance site reliability engineering practices and can be used for chaos testing in Kubernetes environments. While it offers a dashboard for visualization, its core value lies in its AI-driven analytical capabilities for operational insights.

https://github.com/openrca/orca

kubernetesroot-cause-analysisrcaAIOpsmonitoringobservabilityincident managementautomationanalyticsanomaly detection

Also in Root Cause Analysis

kubeshark/kubeshark

Kubeshark provides eBPF-powered network observability for Kubernetes, indexing L4/L7 traffic with full K8s context and decrypting TLS, queryable by AI agents and humans.

Tracer-Cloud/opensre

OpenSRE is an open-source framework for building, training, and evaluating AI SRE agents specifically designed for incident investigation and response, running on your own infrastructure.

HolmesGPT/holmesgpt

HolmesGPT is an open-source AI agent for SRE that investigates production incidents, finds root causes, and can automatically identify and fix problems 24/7.

derisk-ai/OpenDerisk

OpenDeRisk is an AI-native risk intelligence system providing 24/7 comprehensive protection for application systems through multi-agent collaboration for deep root cause analysis.

tangpan360/MicroRCA-Agent

MicroRCA-Agent is an LLM-agent-based solution for microservice root cause localization and fault analysis, processing multi-modal Log, Trace, and Metric data.

scitix/siclaw

Siclaw is an open-source AI agent designed for DevOps and SRE teams to perform read-only infrastructure diagnostics and root-cause analysis through deep investigation workflows.

cuebook/CueObserve

CueObserve is an open-source platform for time-series anomaly detection and root cause analysis directly on data warehouses, designed to monitor key metrics and identify causative factors.

shaido987/riskloc

RiskLoc is an AI-powered method for localizing multi-dimensional root causes in time-series data, identifying the specific dimensions and values contributing to anomalies.