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.
Awesome AI for Infra › Root Cause Analysis
Root Cause Analysis
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.
openrca/orca
OpenRCA provides automated root cause analysis for Kubernetes clusters by constructing a real-time topology graph enriched with telemetry data from various sources.