Overview:
Coroot is an open-source observability platform that uses eBPF to automatically collect metrics, logs, traces, and profiles for application monitoring. It is designed to help engineering teams handle large-scale systems by automatically identifying service health issues and providing actionable insights rather than raw data. The tool includes built-in inspection checks and Service Level Objectives (SLOs) to audit application performance without manual configuration. It is particularly suited for teams operating on Kubernetes who need deployment tracking and cost monitoring.
Core Features:
Zero-instrumentation observability: Uses eBPF to automatically gather metrics, logs, traces, and profiles, providing a full Service Map without any code changes.
Application Health Summary: Aggregates the status of hundreds of services with preconfigured checks and SLO tracking for quick insight.
Distributed tracing: Enables one-click investigation of outlier requests, using OpenTelemetry for vendor-neutral instrumentation, with eBPF-based capture for uninstrumented services.
Log clustering: Offers out-of-the-box log pattern detection and seamless logs-to-traces correlation via ClickHouse.
CPU/Memory profiling: Analyzes spikes down to the specific line of code, with baseline comparison for anomaly investigation.
Automated issue detection: Identifies over 80% of issues automatically and sends consolidated SLO alerts with inspection results.
Use Cases:
Managing multi-service applications on Kubernetes: Automatically discovers every application rollout, compares releases for performance degradation, and tracks cloud costs.
Investigating performance anomalies: Developers can examine any outlier request or resource spike in distributed traces and profiles with a single click.
Monitoring without manual instrumentation: Teams working with legacy or third-party services can still capture request data via eBPF, requiring no code changes.
Tracking SLO compliance: Users set and monitor Service Level Objectives, with the platform automatically correlating alerts with the root-cause inspections.
Why It Matters:
Coroot differentiates itself from other observability tools by prioritizing actionable insights over data collection. Its eBPF-based approach eliminates the need for manual instrumentation and code changes, reducing setup overhead. The platform includes built-in expert analysis that automatically identifies the majority of common issues and streamlines investigations through direct logs-to-traces correlation and profiling. This makes it a practical open-source option for teams looking to reduce blind spots and manual troubleshooting in Kubernetes environments.
