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fleet-management

fleet-management

github.com/grafanaCloud & DevOps2954.3k installsUpdated 1d ago
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About fleet-management

A skill for managing Alloy configurations through Grafana Fleet Management. It guides operators through pipeline authoring, validation, remote targeting, rollout, and troubleshooting.

Key features

  1. 01Author and validate Alloy pipelines
  2. 02Target collectors with matchers
  3. 03Hot-apply remote configurations
  4. 04Inspect failed collector configurations
  5. 05Bootstrap Alloy with remotecfg

Use cases

  1. 01Deploy a pipeline to selected collectors
  2. 02Investigate remote configuration failures
  3. 03Onboard an Alloy collector

Install

Copy the command and run it in a terminal.

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

After installing, type/fleet-managementin Claude Code to confirm it loaded.

Bundled filesreferences/api.mdreferences/bootstrap.md

Details

From the project README

Grafana Fleet Management + Alloy Configuration

Docs: https://grafana.com/docs/grafana-cloud/send-data/fleet-management/

Remote pipeline distribution to Alloy collectors via OpAMP — author once, target with matchers, hot-apply (no restart).

Prerequisites

  • Grafana Cloud stack with Fleet Management enabled
  • API token with Fleet Management access (Authorization: Bearer <STACK_ID>:<TOKEN>)
  • Alloy ≥ 1.0 installed on the targets (standalone or via grafana/alloy Helm chart)
  • alloy CLI locally for alloy fmt syntax validation

Concepts

  • Collector — Alloy instance with unique ID + attributes
  • Pipeline — named Alloy River config stored in Fleet Management
  • Matcher — selector mapping a pipeline to collectors by attribute
  • Attributes — key/value labels on a collector (env, team, region)

Common Workflows

1. Author + validate + deploy a pipeline
# 1. Save the pipeline to a local file (lint catches typos before remote)
cat > pipeline.alloy <<'EOF'
prometheus.scrape "default" {
  targets    = []
  forward_to = [prometheus.remote_write.grafana_cloud.receiver]
  scrape_interval = "60s"
}

prometheus.remote_write "grafana_cloud" {
  endpoint {
    url = "https://prometheus-prod-01-eu-west-0.grafana.net/api/prom/push"
    basic_auth {
      username = "<METRICS_USERNAME>"
      password = env("GRAFANA_CLOUD_API_KEY")
    }
  }
}
EOF

# 2. Validate syntax LOCALLY before sending to Fleet Management
alloy fmt pipeline.alloy            # rewrites in place or errors with line number
alloy validate pipeline.alloy       # full semantic check (newer Alloy releases)

# 3. Create the pipeline via API (see references/api.md for the payload schema)
BASE=https://fleet-management-prod-us-east-0.grafana.net
TOKEN=<STACK_ID>:<API_TOKEN>
PAYLOAD=$(jq -n --rawfile c pipeline.alloy '{
  name:"k8s-metrics", contents:$c,
  matchers:[{name:"env",value:"production",type:"EQUAL"}]
}')
curl -s -X POST "$BASE/pipeline.v1.PipelineService/CreatePipeline" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -d "$PAYLOAD" | jq

# 4. Verify it rolled out — every targeted collector should report APPLIED within 1-2 polls
curl -s -X POST "$BASE/collector.v1.CollectorService/ListCollectors" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -d '{}' \
  | jq '.collectors[] | select(.attributes[]?.value=="production")
        | {name, remoteConfigStatus}'
# Expect every row: remoteConfigStatus == "REMOTE_CONFIG_STATUS_APPLIED"
2. Troubleshoot a REMOTE_CONFIG_STATUS_FAILED collector
# 1. Find failed collectors and surface the error message
curl -s -X POST "$BASE/collector.v1.CollectorService/ListCollectors" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -d '{}' \
  | jq '.collectors[] | select(.remoteConfigStatus=="REMOTE_CONFIG_STATUS_FAILED")
        | {name, msg:.remoteConfigStatusMessage}'

# 2. Re-validate the offending pipeline locally
alloy fmt pipeline.alloy

# 3. Inspect Alloy directly — UI at port 12345 shows per-component health
#    http://<COLLECTOR_HOST>:12345 → Graph / Components / Clustering tabs
kubectl -n monitoring logs -l app.kubernetes.io/name=alloy --tail=100 | grep -iE 'remote|error'

# 4. After fixing + re-pushing, re-list collectors and confirm the row flips to APPLIED.

Failure-message decoder table: references/api.md.

3. Onboard a new Alloy with the bootstrap block

The bootstrap remotecfg block is the only local config required:

remotecfg {
  url = "https://<FLEET_MANAGEMENT_HOST>"
  basic_auth { username = "<STACK_ID>"; password = env("GRAFANA_CLOUD_API_KEY") }
  poll_frequency = "1m"
  attributes = { "env" = env("ENVIRONMENT"), "team" = "platform" }
}
# Verify after start
curl -s http://localhost:12345/api/v0/web/components \
  | jq '.[] | select(.id=="remotecfg") | {id, health:.health.state}'
# health.state == "healthy"

Full bootstrap (standalone + Helm) + Assistant tool list: references/bootstrap.md.

Resources

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