At a Glance:
Coroot is an open-source observability platform that uses eBPF for zero-instrumentation collection of metrics, logs, traces, and profiles, providing automated health audits and cost monitoring for applications running in Kubernetes.
Overview:
Coroot is an open-source observability tool designed to turn collected telemetry data into actionable insights for applications, with a focus on Kubernetes environments. It uses eBPF to automatically gather metrics, logs, traces, and profiles without requiring code changes, ensuring complete system coverage. Coroot offers automated issue identification by running predefined inspections and tracking Service Level Objectives (SLOs). It also includes deployment tracking to compare application rollouts and integrated cost monitoring for AWS, GCP, and Azure, helping users understand the cloud spend of specific applications without needing access to a cloud account.
Key Decision Points:
eBPF-based data collection: Coroot uses eBPF to automatically gather telemetry data, which eliminates the need for manual instrumentation and covers legacy or third-party services.
Issue identification via inspections: It uses predefined inspections to audit applications automatically, claiming to identify over 80% of issues without configuration, and sends a single alert for SLO violations with relevant inspection results.
Deployment and cost tracking: The platform tracks Kubernetes rollouts without CI/CD integration and includes cost monitoring that attributes cloud spend to specific applications without requiring cloud account access.
Core Features:
Automatic telemetry collection: Gathers metrics, logs, traces, and profiles with eBPF, providing a 100% coverage Service Map.
Predefined application inspections: Audits applications without configuration to automatically identify a majority of issues.
Log pattern clustering: Provides out-of-the-box event clustering for logs with a lightning-fast search based on ClickHouse.
Distributed tracing: Allows for one-click investigation of anomalies with vendor-neutral OpenTelemetry instrumentation and eBPF-based tracing for non-instrumented services.
On-demand application profiling: Enables analysis of CPU or memory usage spikes down to the line of code and comparison against a system's baseline behavior.
Deployment comparison: Automatically discovers and compares each Kubernetes application rollout to the previous one to detect performance degradation.
Use Cases:
Developers and platform engineers can auto-discover and monitor services in a Kubernetes cluster without modifying application code.
Users can investigate the root cause of performance anomalies by clicking on outlier requests and profiling applications down to the code level.
Engineering teams can track the performance and cloud cost impact of each deployment without integrating their CI/CD pipeline with the observability platform.
Open-Source Alternative Value:
Coroot provides an open-source approach to observability that centers on zero-instrumentation data collection with eBPF, which is useful for environments with legacy services or where code changes are restricted. Its built-in inspection logic aims to automate issue detection, and the platform includes deployment and cost tracking features that do not require external integrations or special cloud account permissions. This combination of automated data gathering and actionable insights is available as a self-contained solution for Kubernetes users.
