메뉴
Creates and validates Azure Resource Manager (ARM) templates for infrastructure deployment. Use when creating ARM templates, deploying Azure infrastructure as code, or validating Azure templates.
| name | arm-template-helper |
| description | Creates and validates Azure Resource Manager (ARM) templates for infrastructure deployment. Use when creating ARM templates, deploying Azure infrastructure as code, or validating Azure templates. |
Create and validate Azure Resource Manager templates for infrastructure as code deployments.
{
"$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"parameters": {
"location": {
"type": "string",
"defaultValue": "[resourceGroup().location]"
}
},
"variables": {},
"resources": [],
"outputs": {}
}
"resources": [
{
"type": "Microsoft.Storage/storageAccounts",
"apiVersion": "2021-04-01",
"name": "[parameters('storageAccountName')]",
"location": "[parameters('location')]",
"sku": {
"name": "Standard_LRS"
},
"kind": "StorageV2"
}
]
# Validate ARM template
az deployment group validate \
--resource-group myResourceGroup \
--template-file template.json \
--parameters parameters.json
# Test deployment (what-if)
az deployment group what-if \
--resource-group myResourceGroup \
--template-file template.json
# Deploy ARM template
az deployment group create \
--resource-group myResourceGroup \
--template-file template.json \
--parameters parameters.json
Analyzes Azure costs and provides optimization recommendations including reserved instances, rightsizing, and unused resources. Use when optimizing Azure spending or analyzing Azure costs.
Creates dbt models with proper layering (staging, marts), incremental strategies, and documentation. Use when creating dbt models, organizing data transformations, or implementing incremental models.
Generates dbt tests including schema tests, data quality tests, and freshness checks. Use when adding tests to dbt models or implementing data quality validation.
Configures Google Cloud Build pipelines with caching, parallel builds, and optimization. Use when setting up Cloud Build, optimizing build performance, or configuring CI/CD pipelines.
Analyzes GCP costs and provides optimization recommendations including committed use discounts, rightsizing, and unused resources. Use when optimizing GCP spending or analyzing GCP costs.
Create custom GitHub Actions (composite, Docker, or JavaScript). Use when building reusable actions, creating custom workflow steps, or packaging logic for distribution. Trigger words include "create action", "custom action", "build action", "composite action", "Docker action".