# ccfos/huatuo

eBPF-based Linux kernel observability 🚀🚀

Repository: https://github.com/ccfos/huatuo
Canonical: https://ross.abutalabs.com/products/ccfos-huatuo
Homepage: https://huatuo.tech/
Language: Go
License: Apache-2.0
License Family: permissive
Topics: profiling, autotracing, k8s, ebpf, ai, linux-kernel, agent, sandbox
Last push: 2026-09-02T04:14:29+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 73, longevity 28
- inputs: {"age_days": 394, "days_push": 0, "days_rel": 20, "gap_med": 135, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1107, forks 130 (observed 2026-09-03T02:15:09.881239+00:00)

## What it is
HUATUO is an eBPF-based Linux kernel observability agent that provides kernel-wide metrics, event-driven context capture, autotracing, and continuous profiling with under 1% overhead. Open-sourced by Didi and listed in the CNCF Landscape, it supports cloud-native, AI infrastructure, and bare-metal deployments with Kubernetes awareness.

## Use cases
- diagnose linux kernel performance issues with ebpf
- continuous profiling of cpu memory and io on production servers
- automatically trace cpu idle drops and io latency spikes
- monitor kubernetes containers with kernel-level metrics
- troubleshoot system jitter and load average spikes
- profile multi-language applications like java and go with low overhead

## When to choose
- you need kernel-wide observability on linux with minimal overhead
- you want automatic tracing and context snapshots without manual instrumentation
- you run large-scale kubernetes or bare-metal fleets and need deep system insight

## When to avoid
- you need application-level APM traces rather than kernel/system metrics
- your target platform is not linux
- you only need simple host metrics already covered by standard exporters

## Facets
- artifact type: service
- maturity: active
- function: monitoring, tracing, benchmarking
- domain: monitoring, cloud-computing, operating-systems
- platform: self-hosted, go
- tags: ebpf, kernel-observability, autotracing, continuous-profiling, kubernetes, low-overhead, cncf-landscape, devops, containers, linux, docker

## Member repositories
- ccfos/huatuo (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:09.881239+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:49:07.199830+00:00, confidence not recorded.
  - readme: https://github.com/ccfos/huatuo (fetched 2026-09-03T02:15:09.881239+00:00, sha cf982ecd1a11)
  - homepage: https://huatuo.tech/ (fetched 2026-08-29T12:51:17.316012+00:00, sha a17b5f334fa3)
  - site_page: https://huatuo.tech/about (fetched 2026-08-29T12:51:17.325062+00:00, sha d95818525b51)
- Data as of 2026-08-30T08:39:29.467469+00:00.