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
MicroRCA-Agent is an intelligent operations solution designed for microservice root cause analysis, leveraging large language models and multi-modal data processing. It was a top-performing solution in the 2025 CCF International AIOps Challenge. The project features a modular architecture comprising five core components: data preprocessing, log fault extraction, trace fault detection, metric fault summarization, and multi-modal root cause analysis. This modularity ensures system integrity, independence, and scalability, allowing for loose coupling between modules. The solution comprehensively processes various data types, including log data through the Drain3 algorithm for template extraction and fault severity assessment, and trace data using a dual anomaly detection strategy combining IsolationForest for latency anomalies and direct status code checks for error states. Metric data is also integrated into the analysis. Ultimately, MicroRCA-Agent aims to provide structured root cause analysis results, including identification of affected components, reasons for failure, and a clear reasoning trace, thereby closing the loop from anomaly observation to actionable insights for system failures.
https://github.com/tangpan360/MicroRCA-Agent
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.
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