mcpField
B
beyla

beyla

github.com/grafanaCloud & DevOps2954.8k installsUpdated 1d ago
Repository

About beyla

Grafana Beyla is a skill for zero-code HTTP, gRPC, and database instrumentation using eBPF, aimed at operators seeking application observability data. It emits OTLP traces and Prometheus metrics, and describes Docker and Kubernetes deployment.

Key features

  1. 01Instrument with eBPF without code changes
  2. 02Generate OTLP traces
  3. 03Generate Prometheus metrics
  4. 04Deploy for one app with Docker
  5. 05Deploy cluster-wide as a DaemonSet

Use cases

  1. 01Instrument an app listening on port 8080
  2. 02Cover Kubernetes nodes with a DaemonSet
  3. 03Send data to Grafana Cloud through Alloy

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/grafana/skills --skill beyla

After installing, type/beylain Claude Code to confirm it loaded.

Bundled filesreferences/config.mdreferences/kubernetes.md

Details

From the project README

Grafana Beyla

Docs: https://grafana.com/docs/beyla/latest/

Zero-code HTTP / gRPC / DB instrumentation via eBPF. Emits OTLP traces + Prometheus metrics.

Prerequisites

  • Linux kernel 5.8+ with BTF enabled (ls /sys/kernel/btf/vmlinux must exist)
  • Root or CAP_SYS_ADMIN (or privileged: true in Kubernetes + hostPID: true)
  • x86_64 or ARM64
  • An OTLP receiver (Tempo, Alloy, OTel Collector) reachable from Beyla

Common Workflows

1. Instrument a single binary with Docker
# 1. Run Beyla against the app's port (the app must already be running, listening on 8080)
docker run --privileged --pid=host \
  -v /sys/kernel/debug:/sys/kernel/debug:ro \
  -e BEYLA_OPEN_PORT=8080 \
  -e BEYLA_PROMETHEUS_PORT=8999 \
  -e OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector:4318 \
  -p 8999:8999 \
  grafana/beyla

# 2. Generate some traffic
curl http://localhost:8080/ ; curl http://localhost:8080/api/users/42

# 3. Verify Beyla emitted metrics — should list http_server_request_duration_seconds + counters
curl -s http://localhost:8999/metrics | grep -E '^http_(server|client)_request_duration'

# 4. Verify traces — in Grafana Explore on Tempo, search by service.name (default = process name)
#    Or: query Tempo's search API for spans with service.name="<app>"
2. Deploy as a cluster-wide DaemonSet

Full DaemonSet + RBAC YAML lives in references/kubernetes.md. After applying:

# 1. Verify DaemonSet rollout
kubectl -n monitoring rollout status ds/beyla

# 2. Verify pods are Running, one per node
kubectl -n monitoring get pods -l app=beyla -o wide

# 3. Verify eBPF probes attached (no errors mentioning BTF or "permission denied")
kubectl -n monitoring logs ds/beyla --tail=50 | grep -Ei 'error|fail|btf' || echo "clean"

# 4. Verify telemetry is flowing — check the Tempo/Alloy receiver for spans from the cluster
#    Or scrape one pod directly:
kubectl -n monitoring port-forward ds/beyla 8999:8999 &
curl -s localhost:8999/metrics | head
3. Send to Grafana Cloud via Alloy
# beyla-config.yml
otel_traces_export:  { endpoint: http://alloy:4318 }
otel_metrics_export: { endpoint: http://alloy:4318 }
# Verify Alloy is forwarding — check Alloy UI (localhost:12345) for the
# otelcol.receiver.otlp.beyla component showing received spans/metrics > 0.

Full Alloy + Beyla YAML: references/config.md.

Troubleshooting

  • failed to load BPF object → kernel < 5.8 or BTF missing; check /sys/kernel/btf/vmlinux
  • No spans in Tempo, but Prometheus metrics show → check OTEL_EXPORTER_OTLP_ENDPOINT, protocol (http vs grpc), and ports (4318 http / 4317 grpc)
  • HTTP route cardinality explosion → set routes.unmatched: heuristic and add patterns (see references/config.md)
  • Pod restarts with CrashLoopBackOff → likely missing hostPID: true or privileged: true / required capabilities

Resources

Comments

Markdown supported