Coroot was designed to solve the problem of manual, time-consuming observability analysis: it handles the full observability journey — from collecting telemetry to turning it into actionable insights. We also strongly believe that simple observability should be an innovation everyone can benefit from: which is why our software is open source.
Features:
- Cost monitoring to track and minimise your cloud expenses (AWS, GCP, Azure.)
- SLO tracking with alerts to detect anomalies and compare them to your system’s baseline behaviour.
- 1-click application profiling: see the exact line of code that caused an anomaly.
- Mapped timeframes (stop digging through Grafana to find when the incident occurred.)
- eBPF automatically gathers logs, metrics, traces, and profiles for you.
- Service map to grasp a complete at-a-glance picture of your system.
- Automatic discovery and monitoring of every application deployment in your kubernetes cluster.
We welcome any feedback and hope the tool can improve your workflow!
Basically anywhere you'd previously need to write a kernel module but now can have user space run arbitrary kernel code that's secure and won't crash the kernel.
You can also now write custom schedulers in eBPF with sched_ext.