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coroot

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Project Description

Coroot is an open-source observability and APM tool with AI-powered Root Cause Analysis. It combines metrics, logs, traces, continuous profiling, and SLO-based alerting with predefined dashboards and inspections.

coroot: Coroot is an open-source observability and APM tool with AI-powered Root Cause Analysis. It combines

Project Title

coroot — AI-powered observability and APM tool for root cause analysis

Overview

Coroot is an open-source observability and application performance monitoring (APM) tool that leverages AI to provide root cause analysis. It offers a comprehensive solution by combining metrics, logs, traces, continuous profiling, and SLO-based alerting with predefined dashboards and inspections, all without requiring any manual instrumentation.

Key Features

  • Zero-instrumentation observability with automatic data collection using eBPF
  • Service Map for full system coverage and predefined inspections
  • Application Health Summary with SLO tracking and log analysis
  • Distributed tracing for outlier request exploration
  • Log pattern recognition and correlation with traces
  • One-click application profiling for detailed resource usage analysis
  • Built-in expertise for automatic issue identification and SLO monitoring
  • Deployment Tracking for Kubernetes cluster rollouts and performance comparisons

Use Cases

  • DevOps teams looking to monitor and optimize microservices performance
  • Enterprises needing to track SLOs and ensure service reliability
  • Developers seeking to diagnose and resolve application performance issues
  • IT operations for real-time monitoring and alerting on system health

Advantages

  • Reduces the need for manual instrumentation and configuration
  • Provides actionable insights and a holistic view of system performance
  • Offers built-in expertise to identify and alert on issues proactively
  • Supports Kubernetes and integrates with OpenTelemetry for tracing

Limitations / Considerations

  • May require significant resources for large-scale deployments
  • The learning curve for users unfamiliar with eBPF or observability tools
  • Customization and integration with existing tools may require additional effort

Similar / Related Projects

  • Prometheus: An open-source monitoring and alerting toolkit, differs in that it requires manual instrumentation and does not offer AI-powered root cause analysis.
  • Grafana: A popular open-source analytics and monitoring solution, which focuses more on visualization and lacks the integrated APM and AI capabilities of Coroot.
  • Jaeger: An open-source, end-to-end distributed tracing system, which is more focused on tracing and does not provide the same level of observability and APM features as Coroot.

Basic Information


📊 Project Information

  • Project Name: coroot
  • GitHub URL: https://github.com/coroot/coroot
  • Programming Language: Go
  • ⭐ Stars: 7,162
  • 🍴 Forks: 329
  • 📅 Created: 2022-08-22
  • 🔄 Last Updated: 2025-11-16

🏷️ Project Topics

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🎮 Online Demos

📚 Documentation


This article is automatically generated by AI based on GitHub project information and README content analysis

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Project Information

Created on 8/22/2022
Updated on 12/29/2025