Ross ROSS = Recommend OSS · open-source software intelligence for agents

harmonycloud/kindling

eBPF-based Cloud Native Monitoring Tool observed · 2026-08-28

github.com/harmonycloud/kindling · homepage · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

65/100

  • Activity 93
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1710
  • days_rel: n/a
  • days_push: 43
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1062 stars · 166 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Kindling is an eBPF-based cloud native monitoring tool that runs as a DaemonSet in Kubernetes to capture syscalls and tracepoints from kernel to application code. It provides trace profiling (OnCPU/OffCPU thread-level flame graphs correlated with logs and network/file metrics), network flow visualization, and Prometheus/Grafana integration for root-cause triage.

Use cases

  • monitor kubernetes network flows like tcp retransmit dns and throughput
  • profile distributed traces at thread level with oncpu and offcpu events
  • find root cause of slow rpc calls in production
  • correlate logs and flame graphs with trace execution timeframes
  • visualize service maps with latency error rate and traffic golden metrics
  • enrich prometheus metrics with ebpf-based full stack monitoring
  • diagnose thread starvation and lock contention issues

When to choose

  • you run workloads on linux kubernetes and need kernel-level observability without code instrumentation
  • you want to correlate traces with cpu offcpu events logs and network syscalls
  • you need network-level rpc analysis similar to chrome devtools network panel for backend services
  • you already use prometheus and grafana and want enriched full stack metrics

When to avoid

  • your workloads run on windows or macos since only linux is supported
  • you need arm architecture support which is not available
  • you want a hosted saas monitoring solution rather than a self-hosted agent
  • your kubernetes cluster cannot run privileged daemonset agents required for ebpf

Facets

application · maturity active

monitoring tracing benchmarking monitoring cloud-computing self-hosted go ebpf kubernetes trace-profiling network-monitoring prometheus grafana daemonset apm root-cause-analysis devops containers linux docker

5 sources

Member repositories

RepositoryRoleHealth v2
harmonycloud/kindlingmain65

For agents

markdown · JSON · MCP: product_card(name="harmonycloud/kindling")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem