agentleFS
DanWahlinDanWahlin/github-azure-agentic-journeys/.github/skills/grafana-azure/SKILL.md

grafana-azure

Skill37 starsChanged 4 months agoMITView on GitHub

Deploy Grafana OSS to Azure Container Apps. Use when deploying Grafana for metrics, logs, and traces visualization with optional PostgreSQL backend.

1 other project uses a version of this, 1 of them edited.

Adopted by

Most recently taken up by

  • Other versions1 project uses a version of this.

    Word for word · 0

    None found.

    Edited · 1

    1. microsoft/agentic-journeys★ 564% same

    Wrote their own version · 0

    None found.

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository8 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run the checked-in verifier from the repository root:

    line 109
  2. Distinctive:

    Add Azure Files for persistent storage

    line 126
  3. Distinctive:

    Use these Azure MCP Server tools for Grafana deployments:

    line 139

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Grafana Azure Deployment Skill

Deploy Grafana OSS to Azure Container Apps using Bicep and Azure Developer CLI (azd).

Reproducibility Verified: This deployment has been tested multiple times from scratch. Deploy time: ~2 minutes.

Overview

Grafana is an open-source observability platform for metrics, logs, and traces visualization. This skill deploys Grafana OSS (not Azure Managed Grafana) to Azure Container Apps.

Prerequisites and Portability

Require Azure CLI, Azure Developer CLI 1.28.0 or later, and Node.js LTS or later for portable verification. Don't require OpenSSL, Bash command substitution, or host-specific shell scripts. See ../../../docs/tool-installation.md.

Critical: Infrastructure Generation

This skill provides Grafana-specific configuration only. Infrastructure (Bicep, azure.yaml) should be generated fresh each time by the official azure-prepare → azure-validate → azure-deploy pipeline. Do NOT rely on pre-existing infra code.

Critical: Subscription Context

ALWAYS set AZURE_SUBSCRIPTION_ID explicitly before running azd up. Read it with az account show --query id -o tsv, then pass the returned value to azd env set AZURE_SUBSCRIPTION_ID <subscription-id>.

Without this, azd and Azure MCP tools will fail silently or produce incomplete deployments. The azure_deploy_app_logs tool also requires subscription context.

Critical: Bicep Output Naming

Bicep outputs MUST use SCREAMING_SNAKE_CASE (e.g., GRAFANA_URL, GRAFANA_FQDN) for azd to map them into environment values. Without this, azd env get-value returns "key not found".

Architecture

graph TB
    subgraph RG["Azure Resource Group"]
        LA["Log Analytics Workspace"]
        subgraph CAE["Container Apps Environment"]
            GF["Grafana Container App<br/>Port 3000 · SQLite (default)<br/>Scale 0-3 replicas"]
        end
    end

    LA -->|logs & metrics| CAE

Quick Start (Verified)

# 1. Register providers (one-time per subscription)
az provider register --namespace Microsoft.App
az provider register --namespace Microsoft.OperationalInsights

# 2. Create environment
azd env new my-grafana-env

# 3. Set required variables (replace placeholders)
azd env set AZURE_SUBSCRIPTION_ID "<subscription-id>"
azd env set AZURE_LOCATION "westus"
azd env set GRAFANA_ADMIN_PASSWORD "<securely-generated-secret>"

# 4. Deploy (~2 minutes)
azd up

# 5. Access Grafana
azd env get-value GRAFANA_URL
# Login: admin / <your GRAFANA_ADMIN_PASSWORD>

Deployment time breakdown:

  • Resource Group: ~4s
  • Log Analytics: ~25s
  • Container Apps Environment: ~38s
  • Grafana Container App: ~10s
  • Total: ~2 minutes

Environment Variables

Grafana is configured via environment variables in the Container App:

VariableDescriptionValue
GF_SECURITY_ADMIN_USERAdmin usernameFrom parameter
GF_SECURITY_ADMIN_PASSWORDAdmin passwordFrom secret
GF_SERVER_HTTP_PORTHTTP port3000
GF_SERVER_ROOT_URLPublic URLAuto-configured
GF_AUTH_ANONYMOUS_ENABLEDAnonymous accessfalse

See config/environment-variables.md for full list.

Health Probes

TypePathPortInterval
Liveness/api/health300030s
Readiness/api/health300010s
Startup/api/health300010s (30 failures allowed)

Outputs

After deployment:

  • GRAFANA_URL: Public HTTPS URL
  • GRAFANA_FQDN: Container App FQDN
  • GRAFANA_ADMIN_USER: Admin username

Verification

Run the checked-in verifier from the repository root:

node .github/scripts/verify-grafana.mjs

The verifier reads GRAFANA_URL through azd, requires HTTP 200 from /api/health, asserts database: "ok", and prints the deployment URL. Verify authenticated browser login separately with the deployed admin credentials. Retrieve a generated password only in a private terminal, and never print or paste it into the agent session or shared logs.

Scaling

  • Min replicas: 0 (scale to zero when idle)
  • Max replicas: 3
  • Scaling rule: HTTP concurrent requests (10 per replica)

Storage Considerations

By default, Grafana uses SQLite which stores data in the container. For production:

  1. Add Azure Files for persistent storage
  2. Or use PostgreSQL/MySQL backend

Tear Down

azd down --force --purge

Note: Teardown takes 3-5 minutes (Container Apps environment deletion is slow).

Azure MCP Tools

Use these Azure MCP Server tools for Grafana deployments:

ToolWhen to Use
azure_bicep_schemaGet latest schemas for Microsoft.App/containerApps and Microsoft.App/managedEnvironments
azure_deploy_architectureGenerate Mermaid architecture diagrams for the Grafana deployment
azure_deploy_planValidate the deployment plan before azd up — use target=ContainerApp
azure_deploy_app_logsFetch container logs from Log Analytics when troubleshooting startup or 502 issues

Troubleshooting

See troubleshooting.md for common issues and lessons learned.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.