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cost-management — Claude Code skill: cut your Grafana Cloud bill

This skill breaks a Grafana Cloud bill down by team and service, then shows where to trim metrics, logs and traces.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add grafana/skills --skill cost-management -a claude-code
Open on GitHub

What cost-management does

The skill covers three things: attributing spend to a team or service with external labels in Alloy, cutting metric cardinality through Adaptive Metrics, and dropping noisy logs plus tail-sampling traces. It ships Alloy config snippets, commands to reload the agent and checks that labels actually reached Grafana Cloud, along with an optimization checklist and usage alert rules.

You need a Grafana Cloud stack with Adaptive Metrics, Logs and Traces enabled, Alloy or Grafana Agent already ingesting telemetry, and an API key scoped to metrics:write, logs:write and traces:write. Applying Adaptive recommendations requires admin access to the stack — otherwise you are stuck reviewing rules you cannot turn on.

The metric workflow advises testing in Preview mode before applying, then comparing series counts against a baseline captured beforehand. Rollback is either disabling the rule in the UI or calling DELETE /v1/rules/<id>.

What it helps with

  • attribute a Grafana Cloud bill to specific teams and services
  • shrink metric cardinality using Adaptive Metrics recommendations
  • drop health-probe logs from the Alloy pipeline
  • tail-sample traces while keeping errors and slow spans
  • set a usage alert before ingestion hits quota

Example prompts for the agent

  • our Grafana bill is too high, figure out what's driving it
  • add team and project labels to the Alloy config so I can see spend per team
  • alert me before log ingestion gets close to quota

How to install cost-management

1Skills CLI (Vercel)

npx skills add grafana/skills --skill cost-management -a claude-code

2Manually: put the files in place

~/.claude/skills/cost-management/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/cost-management/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about cost-management

How do I install cost-management in Claude?

Run npx skills add grafana/skills --skill cost-management -a claude-code. The skill lands in ~/.claude/skills/cost-management/SKILL.md.

What does cost-management do?

It helps investigate a Grafana Cloud bill: attributes spend to teams via Alloy labels, reduces metric cardinality, drops unneeded logs and traces, and sets up quota alerts.

What do I need before using it?

A Grafana Cloud stack with Adaptive Metrics, Logs and Traces enabled, Alloy or Grafana Agent ingesting telemetry, and an API key scoped to metrics:write, logs:write and traces:write.

Source text

SKILL.md · Apache-2.0
---
name: cost-management
license: Apache-2.0
description: Cut your Grafana Cloud bill by attributing spend to teams and reducing telemetry volume. Covers FOCUS-compliant billing dashboards, cost-attribution labels in Alloy, Adaptive Metrics (cardinality reduction), Adaptive Logs (drop/sample), Adaptive Traces (tail sampling), usage alerts, and an optimization checklist. Use when investigating a high Grafana Cloud bill, attributing observability cost to a team or service, reducing active series / log bytes / trace spans, or setting up usage / quota alerts — even when the user says "our Grafana bill is too high", "who's burning the most metrics", "drop debug logs", "sample our traces", or "alert me before we hit quota" without naming Cost Management.
---

# Grafana Cloud Cost Management

> **Docs**: https://grafana.com/docs/grafana-cloud/cost-management-and-billing/

Reduce metric / log / trace spend with Adaptive signals + cost-attribution labels.

## Prerequisites

- A Grafana Cloud stack with Adaptive Metrics / Logs / Traces enabled (visible under **Cost Management**)
- Alloy (or Grafana Agent) ingesting telemetry, with API key in scope `metrics:write` + `logs:write` (+ `traces:write`)
- Admin access to the stack to apply Adaptive recommendations

## Common Workflows

### 1. Attribute cost to a team / service

```alloy
# 1. Add external labels in Alloy (metrics + logs configs)
prometheus.remote_write "cloud" {
  endpoint { url = sys.env("PROMETHEUS_URL") /* ... */ }
  external_labels = { team = "platform", project = "checkout-service" }
}
```

```bash
# 2. Reload Alloy
curl -X POST http://localhost:12345/-/reload

# 3. Verify labels arrived in Grafana Cloud
#    In Explore, run:  count by (team, project) ({__name__=~".+"})
#    Then visit Cost Management → group by `team` / `project`
```

See [`references/adaptive-signals.md`](references/adaptive-signals.md) for the full Alloy snippet.

### 2. Cut metric cardinality with Adaptive Metrics

```bash
# 1. Pull recommendations
curl https://<stack>.grafana.net/api/plugins/grafana-adaptive-metrics-app/resources/v1/recommendations \
  -H "Authorization: Bearer <token>" | jq '.recommendations | length'

# 2. In the UI: Grafana Cloud → Adaptive Metrics → review rules sorted by series-reduction impact
# 3. Test in "Preview" mode before applying
# 4. Apply (takes effect within 5 min)

# 5. Verify — series count should drop on the affected metrics
#    Before applying, capture baseline:
#      count({__name__="http_request_duration_seconds_bucket"})
#    Wait 10 min after apply, run again — expect 10x+ reduction for high-card metrics.

# Rollback if needed: open the rule in the UI → Disable, or DELETE /v1/rules/<id>.
```

### 3. Drop noisy logs in Alloy

```alloy
# 1. Add a filter stage (see references/adaptive-signals.md for the full block)
loki.process "filter_logs" {
  forward_to = [loki.write.cloud.receiver]
  stage.drop { expression = ".*GET /health.*" }
}
```

```bash
# 2. Reload Alloy
curl -X POST http://localhost:12345/-/reload

# 3. Verify the filter — health logs should NOT appear in Logs Drilldown
#    LogQL check (should return 0):
#      sum(rate({app="my-app"} |= "GET /health" [5m]))
#    Bytes-ingested should also drop. Compare 24h before/after:
#      sum(increase(loki_ingester_chunk_size_bytes_sum[24h])) by (namespace)
```

### 4. Set a usage alert before you hit quota

See [`references/alerts-and-queries.md`](references/alerts-and-queries.md) for ready-to-paste rules (`MetricsUsageHigh`, `LogsIngestionHigh`).

## Optimization checklist

- [ ] Apply Adaptive Metrics recommendations — typically reduces series 40-60%
- [ ] Drop health/readiness probe logs in Alloy
- [ ] Tail-sample traces to 5-10% + keep errors / slow spans
- [ ] Add `team` + `project` external labels to every Alloy config
- [ ] Set usage alerts at 80% of quota
- [ ] Replace expensive ad-hoc queries with recording rules

## References

- [`references/adaptive-signals.md`](references/adaptive-signals.md) — Adaptive Metrics / Logs / Traces config; cost-attribution labels
- [`references/alerts-and-queries.md`](references/alerts-and-queries.md) — usage alert rules, cost-finding PromQL, billing-unit table

## Resources

- [Cost Management docs](https://grafana.com/docs/grafana-cloud/cost-management-and-billing/)
- [Adaptive Metrics](https://grafana.com/docs/grafana-cloud/cost-management-and-billing/reduce-costs/metrics-costs/adaptive-metrics/)
- [Adaptive Logs](https://grafana.com/docs/grafana-cloud/cost-management-and-billing/reduce-costs/logs-costs/)

© grafana · Apache-2.0 · grafana/skills

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