Coroot is an open-source observability and APM tool designed for SREs, DevOps teams, and cloud-native developers who need actionable insights without manual instrumentation. Unlike traditional monitoring tools that require code changes or agent deployments, Coroot leverages eBPF to automatically collect metrics, logs, traces, and continuous profiles from running applications—even legacy or third-party services. This enables 100% visibility into microservices and Kubernetes environments with zero code modifications. Built for scale, Coroot aggregates data from Prometheus, OpenTelemetry, and system-level sources to generate service maps, detect anomalies, and perform root cause analysis—all through pre-built inspections and SLO-based alerting. It’s ideal for teams managing complex distributed systems who want to reduce MTTR and eliminate blind spots in their observability stack.
What You Get
- Zero-instrumentation observability - Coroot uses eBPF to automatically capture metrics, logs, traces, and profiles from applications without requiring code changes or agent installation. This enables full visibility into services that can’t be easily instrumented, such as legacy systems or third-party binaries.
- Service Map with 100% coverage - Coroot dynamically generates a real-time service map showing all inter-service dependencies, including those not explicitly instrumented. This eliminates blind spots and provides a single source of truth for system topology.
- Predefined inspections - Over 80% of common issues are automatically detected using built-in inspection rules that audit applications for performance, errors, resource leaks, and misconfigurations—no configuration needed.
- Application Health Summary - A unified dashboard displays the health status of hundreds of services with aggregated log patterns, SLO compliance, and anomaly detection—enabling quick identification of degraded systems.
- Distributed tracing without instrumentation - Coroot captures request traces via eBPF for uninstrumented services, allowing users to investigate outliers with a single click using vendor-neutral OpenTelemetry-compatible data.
- Log pattern clustering and correlation - Logs are automatically clustered into patterns using ClickHouse, with seamless correlation to traces for faster root cause analysis without manual log parsing.
- One-click profiling - Coroot can attach eBPF-based profilers to any process to capture CPU and memory usage down to the source code line, enabling precise performance analysis without redeployment.
- Deployment tracking - Coroot automatically detects Kubernetes deployments and compares performance metrics between releases, alerting teams to regressions without CI/CD integration.
- Cloud cost monitoring - Coroot estimates cloud costs per application using resource usage data (CPU, memory) and public cloud pricing tiers—no access to cloud provider accounts required. Supports AWS, GCP, and Azure.
Common Use Cases
- Building a multi-tenant SaaS platform with legacy components - Teams use Coroot to monitor services written in Go, Java, and Node.js without modifying code. eBPF-based tracing ensures all HTTP requests are tracked, even from third-party libraries.
- Debugging intermittent performance regressions in Kubernetes - DevOps engineers use Coroot’s deployment tracking to compare resource usage and error rates between releases, identifying a 20% CPU increase caused by a new dependency in v1.4.2.
- Reducing alert fatigue in large-scale microservices - SRE teams replace 50+ separate alerts with Coroot’s consolidated SLO-based alerts that include root cause analysis, reducing alert volume by 70% while improving incident resolution speed.
- Monitoring non-instrumented legacy applications - A financial services company uses Coroot to monitor a 10-year-old C++ trading system that can’t be modified. eBPF captures network calls, memory allocations, and process metrics without touching the binary.
- DevOps teams managing hybrid cloud environments - Teams track cost per service across AWS, GCP, and Azure using Coroot’s cost modeling—identifying that a misconfigured Redis instance was costing $8,200/month in idle resources.
Under The Hood
Coroot is a cloud-native observability platform designed to provide comprehensive monitoring, performance analysis, and cost optimization for modern applications. It integrates seamlessly with Prometheus and ClickHouse to offer deep insights into system behavior, while presenting a rich web UI built with Vue.js. The platform emphasizes modular architecture and extensibility through plugin-like integrations.
Architecture
Coroot adopts a monolithic yet well-organized structure that clearly separates concerns across configuration, data handling, and API layers. The system’s modular design enables flexible integration with various observability tools.
- Central configuration layer orchestrates integrations and services
- Clear separation between caching, database, and collector modules
- Middleware and API routing support both internal and external endpoints
- Extensible architecture through plugin-style integrations with Prometheus, ClickHouse, and cloud services
Tech Stack
The project is built primarily in Go for the backend, with a Vue.js frontend for user interaction. It leverages Prometheus and ClickHouse for data ingestion and storage, offering a full-stack solution tailored for cloud-native environments.
- Backend developed in Go with strong configuration and database support
- Frontend built using Vue.js for a responsive, interactive UI
- Extensive integration with Prometheus and ClickHouse for metrics and tracing
- Modular backend architecture with clear service boundaries and dependency injection
Code Quality
Coroot demonstrates a mixed quality profile, with robust backend practices and some frontend inconsistencies. The codebase shows reasonable test coverage and structured error handling, though technical debt is present in certain areas.
- Moderate test coverage with a focus on backend Go modules
- Structured error handling and consistent Go coding standards in the backend
- Some inconsistencies in frontend code and UI component organization
- Clear separation of concerns in the Go backend, but uneven quality in other modules
What Makes It Unique
Coroot stands out as a unified observability platform that combines infrastructure monitoring, APM, and cost optimization into one cohesive interface. Its unique approach to root cause analysis and SLO tracking sets it apart from conventional tools.
- Combines infrastructure monitoring, application performance, and cloud cost optimization
- Specialized root cause analysis (RCA) engine with SLO tracking capabilities
- Deep integration across multiple data sources for comprehensive visibility
- Unified dashboard that simplifies complex observability workflows