Better Stack (Log Management)
Cloud-based log management solution for aggregating, searching, and analyzing application logs at scale
Coroot
eBPF-powered observability platform with automated root cause analysis
Open-source APM that automatically collects metrics, logs, traces, and profiles using eBPF, then transforms telemetry data into actionable insights with AI-powered root cause analysis and built-in inspections.
Overview
Observability That Actually Explains What's Wrong
Coroot is an open-source application performance monitoring (APM) platform designed for teams who need more than raw telemetry. Built on eBPF technology, it automatically instruments applications to collect metrics, logs, distributed traces, and continuous profiles—without code changes or manual configuration.
From Data to Decisions
Unlike traditional observability tools that simply visualize data, Coroot applies AI-powered root cause analysis and over 80 predefined inspections to identify issues automatically. The platform generates a complete service map covering 100% of your infrastructure, tracks SLOs, and sends consolidated alerts that include diagnostic results. Log pattern clustering and seamless logs-to-traces correlation help teams understand system behavior at a glance.
Built for Modern Infrastructure
Coroot integrates deployment tracking for Kubernetes rollouts, comparing each release against baselines to catch performance regressions. Built-in cost monitoring breaks down cloud spending (AWS, GCP, Azure) by application without requiring cloud account access. Whether you're running Docker containers or Kubernetes clusters, Coroot delivers vendor-neutral observability using OpenTelemetry standards alongside its zero-instrumentation eBPF capabilities.
Highlights
Zero-instrumentation telemetry collection via eBPF with automatic service discovery
AI-powered root cause analysis with 80+ predefined application inspections
Integrated deployment tracking and cost monitoring for Kubernetes environments
Log pattern clustering and one-click profiling down to specific code lines
Pros
- Automatic instrumentation eliminates manual configuration and code changes
- Built-in expertise identifies most issues without custom alert rules
- Complete observability stack in one platform (metrics, logs, traces, profiles)
- Cost monitoring provides application-level cloud spend visibility
Considerations
- eBPF-based instrumentation requires Linux kernel 4.14+ and specific permissions
- Primary focus on Kubernetes may limit value for non-containerized workloads
- Relatively new project compared to established APM vendors
- Advanced features may require learning Coroot-specific concepts and workflows
Managed products teams compare with
When teams consider Coroot, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Fit guide
Great for
- Platform and SRE teams managing microservices in Kubernetes clusters
- Organizations wanting observability without extensive instrumentation effort
- Teams needing integrated cost visibility alongside performance monitoring
- Engineers troubleshooting legacy or third-party services they cannot modify
Not ideal when
- Windows-based infrastructure or applications requiring Windows-native monitoring
- Teams seeking highly specialized monitoring for specific databases or protocols
- Organizations requiring enterprise support contracts and SLAs out-of-the-box
- Environments where eBPF kernel requirements cannot be met
How teams use it
Troubleshooting Microservice Latency Spikes
Engineers click on anomalous requests to view distributed traces, identify slow dependencies, and profile CPU usage down to specific code lines—all from a single interface.
Monitoring Kubernetes Deployment Impact
Each rollout is automatically tracked and compared against previous versions, alerting teams to performance degradations or cost increases before they affect end users.
Reducing Alert Fatigue with SLO-Based Monitoring
Instead of dozens of threshold alerts, teams receive single consolidated notifications when SLOs are breached, complete with root cause analysis from automated inspections.
Understanding Cloud Cost Drivers
Finance and engineering teams break down AWS, GCP, or Azure bills by application and deployment, identifying which services drive spend without accessing cloud billing APIs.
Tech snapshot
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Vue39%
JavaScript1%
CSS1%
Shell1%
Dockerfile1%
Frequently asked questions
Does Coroot require code changes to instrument applications?
No. Coroot uses eBPF technology to automatically collect metrics, logs, traces, and profiles without modifying application code or adding libraries. OpenTelemetry instrumentation is also supported for vendor-neutral observability.
What infrastructure does Coroot support?
Coroot runs as a Docker container or deploys into Kubernetes clusters. eBPF-based instrumentation requires Linux kernel 4.14 or later. It monitors applications across AWS, GCP, and Azure environments.
How does Coroot identify root causes automatically?
Coroot includes over 80 predefined inspections that audit applications against best practices and common failure patterns. AI-powered analysis correlates telemetry signals to pinpoint issues, reducing manual investigation time.
Can Coroot monitor legacy or third-party services?
Yes. The eBPF-based instrumentation captures requests and performance data from any application running on supported Linux kernels, including legacy systems and third-party services you cannot modify.
Does cost monitoring require cloud account access?
No. Coroot calculates cloud costs based on resource utilization metrics without needing access to your AWS, GCP, or Azure billing accounts, providing application-level cost breakdowns automatically.
Project at a glance
Active- Stars
- 7,344
- Watchers
- 7,344
- Forks
- 339
LicenseApache-2.0
Repo age3 years old
Last commit2 days ago
Primary languageGo
Last synced 3 hours ago