alloy
Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo / Pyroscope. Covers the Alloy config language (blocks, `sys.env`, component refs), `prometheus.scrape` → `remote_write`, `loki.source.file` + `loki.process` → `loki.write`, `otelcol.receiver.otlp` → `otelcol.exporter.otlp`, `pyroscope.scrape`, K8s / Docker / EC2 discovery, relabeling, modules (`import.file/git/http`), clustering, Fleet Management `remotecfg`, the Alloy UI at `:12345`, and `alloy fmt` / `alloy validate`. Use when writing a `config.alloy`, replacing Grafana Agent / OTel Collector, scraping K8s pods, parsing logs, ingesting OTLP, or debugging "Alloy isn't sending anything" — even when the user says "set up the agent", "write me a scrape config", "drop these logs before sending", or "OTel collector config" without naming Alloy.
Works with
---
name: alloy
description: Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo / Pyroscope. Covers the Alloy config language (blocks, `sys.env`, component refs), `prometheus.scrape` → `remote_write`, `loki.source.file` + `loki.process` → `loki.write`, `otelcol.receiver.otlp` → `otelcol.exporter.otlp`, `pyroscope.scrape`, K8s / Docker / EC2 discovery, relabeling, modules (`import.file/git/http`), clustering, Fleet Management `remotecfg`, the Alloy UI at `:12345`, and `alloy fmt` / `alloy validate`. Use when writing a `config.alloy`, replacing Grafana Agent / OTel Collector, scraping K8s pods, parsing logs, ingesting OTLP, or debugging "Alloy isn't sending anything" — even when the user says "set up the agent", "write me a scrape config", "drop these logs before sending", or "OTel collector config" without naming Alloy.
license: Apache-2.0
---
# Grafana Alloy
> **Docs**: https://grafana.com/docs/alloy/latest/
OpenTelemetry-compatible collector — one binary for metrics + logs + traces + profiles.
## Prerequisites
- `alloy` CLI installed (`brew install grafana/grafana/alloy`, `apt install alloy`, or `grafana/alloy` Docker image)
- An endpoint to ship to (Grafana Cloud, Prometheus, Loki, Tempo, Pyroscope)
- API key + username for that endpoint, exported as `GRAFANA_API_KEY` etc.
## Common Workflows
### 1. Write + validate a config locally
```alloy
// config.alloy — metrics → Grafana Cloud
prometheus.scrape "app" {
targets = [{"__address__" = "localhost:9090"}]
forward_to = [prometheus.remote_write.cloud.receiver]
scrape_interval = "30s"
}
prometheus.remote_write "cloud" {
endpoint {
url = sys.env("PROMETHEUS_URL")
basic_auth {
username = sys.env("PROM_USER")
password = sys.env("GRAFANA_API_KEY")
}
}
}
```
```bash
# 1. Format + syntax-check (catches typos before run)
alloy fmt config.alloy
alloy validate config.alloy
# 2. Run it
alloy run config.alloy
# or as a service: systemctl restart alloy
# 3. Verify all components are healthy via the UI on port 12345
curl -s http://localhost:12345/api/v0/web/components \
| jq '.[] | select(.health.state != "healthy") | {id, state:.health.state, msg:.health.message}'
# Expect: empty (nothing unhealthy). Otherwise the row shows the failing component + reason.
# 4. Verify samples are flowing
curl -s http://localhost:12345/metrics \
| grep -E '^prometheus_remote_storage_(samples_total|enqueue_retries_total)' | head
# samples_total should be > 0 and rising; retries should be 0.
```
### 2. Add log shipping (file → Loki)
```alloy
loki.source.file "app_logs" {
targets = [{ __path__ = "/var/log/app/*.log", job = "app" }]
forward_to = [loki.write.cloud.receiver]
}
loki.write "cloud" {
endpoint {
url = sys.env("LOKI_URL")
basic_auth {
username = sys.env("LOKI_USER")
password = sys.env("GRAFANA_API_KEY")
}
}
}
```
```bash
# Verify in Grafana → Explore → Loki:
# {job="app"}
# Expect lines streaming. If empty:
# - check /var/log/app/*.log actually exists + readable by the alloy user
# - http://localhost:12345 → loki.source.file.app_logs → "Targets" tab
```
### 3. Receive OTLP traces and ship to Tempo
```alloy
otelcol.receiver.otlp "default" {
grpc { endpoint = "0.0.0.0:4317" }
http { endpoint = "0.0.0.0:4318" }
output { traces = [otelcol.exporter.otlp.tempo.input] }
}
otelcol.exporter.otlp "tempo" {
client {
endpoint = "tempo-xxx.grafana.net/tempo:443"
auth = otelcol.auth.basic.grafana_cloud.handler
}
}
otelcol.auth.basic "grafana_cloud" {
username = sys.env("TEMPO_USER")
password = sys.env("GRAFANA_API_KEY")
}
```
```bash
# Verify in Grafana → Explore → Tempo → service.name = your-service
# At the Alloy level, watch the receiver:
curl -s http://localhost:12345/metrics | grep otelcol_receiver_accepted_spans
```
Full pattern set (Kubernetes discovery + relabel, complete Cloud pipeline for all 4 signals): [`references/collection-patterns.md`](references/collection-patterns.md).
## Reference
- [`references/config-syntax.md`](references/config-syntax.md) — block/attribute/expression grammar, `import.*`, `remotecfg`, clustering
- [`references/components.md`](references/components.md) — full component catalog with purpose + typical args
- [`references/collection-patterns.md`](references/collection-patterns.md) — end-to-end pipelines (K8s pods, OTLP, profiles, logs)
## Troubleshooting
- `alloy validate` → "component not found" → version too old; `alloy --version` and upgrade
- UI shows component `unhealthy` → click into it on http://localhost:12345 for the live error
- `prometheus_remote_storage_samples_dropped_total` rising → check `enqueue_retries_total` and the remote_write endpoint URL + creds
- No spans landing in Tempo → check `otelcol_receiver_refused_spans` and the exporter's `otelcol_exporter_sent_spans` / `otelcol_exporter_send_failed_spans`
## Resources
- [Alloy docs](https://grafana.com/docs/alloy/latest/)
- [Component reference](https://grafana.com/docs/alloy/latest/reference/components/)
- [Migrate from Grafana Agent](https://grafana.com/docs/alloy/latest/set-up/migrate/from-agent/)More Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

