coroot

Official

Kernel-level observability for incident RCA.

AuthorArvo-AI
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Coroot provides kernel-level observability to capture data that application-level metrics and logs miss, enabling accurate incident RCA, root-cause analysis, and risk assessment across complex infrastructures.

Core Features & Use Cases

  • eBPF-powered data collection: captures kernel-level metrics including TCP connections, DNS queries, disk I/O, and per-container resource usage.
  • Service map and topology, incident RCA: builds a live view of dependencies and enables end-to-end RCA across services, deployments, and nodes.
  • Traces, logs, and costs/risk insights: correlates traces with logs and computes cost and risk signals for informed remediation.
  • Use Case: during a cloud incident, correlate kernel-level events with application logs to determine if the root cause is a resource contention or a failed dependency.

Quick Start

Run coroot_get_incidents to fetch recent incidents and review their RCA summaries.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: coroot
Download link: https://github.com/Arvo-AI/aurora/archive/main.zip#coroot

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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