據 AlphaMoat 統計,截至 2026-09,Azd Deployment for Azure 累計下載 3,255 次、獲 0 個星標,在全部 5,078 個 AI 技能中排名第 3,505 位,在「運維安全」分類(264 個)中排名第 226 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 104 | 3255 | - | - |
| SkillHub ↗ | 104 | 3225 | - | — |
各平台的計數口徑不同,統計時間不一致。
該指南涵蓋專案配置、azure.yaml 與 Bicep 基礎設施、環境變數、遠端構建、託管身份、RBAC、部署鉤子及故障排查。部署命令可能建立或修改雲端資源和許可權;執行前需核對訂閱、環境、資源組、金鑰處理方式及生成的配置,不能把示例值直接用於生產。 優先使用具有 AcrPull 的託管身份而非倉庫管理員憑據,並審查鉤子臨時檔案。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3255 | — | - |
| 2026-08 | 3129 | +5.6% | - |
| 2026-07 | 2964 | — | - |
| 2026-05 | 2584 | — | - |
| 2026-03 | 2019 | — | - |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- name: azd-deployment description: Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Container Apps, configuring remote builds with ACR, implementing idempotent deployments, managing environment variables across local/.azure/Bicep, or troubleshooting azd up failures. Triggers on requests for azd configuration, Container Apps deployment, multi-service deployments, and infrastructure-as-code with Bicep. --- # Azure Developer CLI (azd) Container Apps Deployment Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure. ## Quick Start
```bash
# Initialize and deploy
azd auth login
azd init # Creates azure.yaml and .azure/ folder
azd env new <env-name> # Create environment (dev, staging, prod)
azd up # Provision infra + build + deploy
```
## Core File Structure
```
project/
├── azure.yaml # azd service definitions + hooks
├── infra/
│ ├── main.bicep # Root infrastructure module
│ ├── main.parameters.json # Parameter injection from env vars
│ └── modules/
│ ├── container-apps-environment.bicep
│ └── container-app.bicep
├── .azure/
│ ├── config.json # Default environment pointer
│ └── <env-name>/
│ ├── .env # Environment-specific values (azd-managed)
│ └── config.json # Environment metadata
└── src/
├── frontend/Dockerfile
└── backend/Dockerfile
```
## azure.yaml Configuration
### Minimal Configuration
```yaml
name: azd-deployment
services:
backend:
project: ./src/backend
language: python
host: containerapp
docker:
path: ./Dockerfile
remoteBuild: true
```
### Full Configuration with Hooks
```yaml
name: azd-deployment
metadata:
template: [email protected]
infra:
provider: bicep
path: ./infra
azure:
location: eastus2
services:
frontend:
project: ./src/frontend
language: ts
host: containerapp
docker:
path: ./Dockerfile
context: .
remoteBuild: true
backend:
project: ./src/backend
language: python
host: containerapp
docker:
path: ./Dockerfile
context: .
remoteBuild: true
hooks:
preprovision:
shell: sh
run: |
echo "Before provisioning..."
postprovision:
shell: sh
run: |
echo "After provisioning - set up RBAC, etc."
postdeploy:
shell: sh
run: |
echo "Frontend: ${SERVICE_FRONTEND_URI}"
echo "Backend: ${SERVICE_BACKEND_URI}"
```
### Key azure.yaml Options
| Option | Description |
|--------|-------------|
| `remoteBuild: true` | Build images in Azure Container Registry (recommended) |
| `context: .` | Docker build context relative to project path |
| `host: containerapp` | Deploy to Azure Container Apps |
| `infra.provider: bicep` | Use Bicep for infrastructure |
## Environment Variables Flow
### Three-Level Configuration
1. **Local `.env`** - For local development only
2. **`.azure/<env>/.env`** - azd-managed, auto-populated from Bicep outputs
3. **`main.parameters.json`** - Maps env vars to Bicep parameters
### Parameter Injection Pattern
```json
// infra/main.parameters.json
{
"parameters": {
"environmentName": { "value": "${AZURE_ENV_NAME}" },
"location": { "value": "${AZURE_LOCATION=eastus2}" },
"azureOpenAiEndpoint": { "value": "${AZURE_OPENAI_ENDPOINT}" }
}
}
```
Syntax: `${VAR_NAME}` or `${VAR_NAME=default_value}`
### Setting Environment Variables
```bash
# Set for current environment
azd env set AZURE_OPENAI_ENDPOINT "https://my-openai.openai.azure.com"
azd env set AZURE_SEARCH_ENDPOINT "https://my-search.search.windows.net"
# Set during init
azd env new prod
azd env set AZURE_OPENAI_ENDPOINT "..."
```
### Bicep Output → Environment Variable
```bicep
// In main.bicep - outputs auto-populate .azure/<env>/.env
output SERVICE_FRONTEND_URI string = frontend.outputs.uri
output SERVICE_BACKEND_URI string = backend.outputs.uri
output BACKEND_PRINCIPAL_ID string = backend.outputs.principalId
```
## Idempotent Deployments
### Why azd up is Idempotent
1. **Bicep is declarative** - Resources reconcile to desired state
2. **Remote builds tag uniquely** - Image tags include deployment timestamp
3. **ACR reuses layers** - Only changed layers upload
### Preserving Manual Changes
Custom domains added via Portal can be lost on redeploy. Preserve with hooks:
```yaml
hooks:
preprovision:
shell: sh
run: |
# Save custom domains before provision
if az containerapp show --name "$FRONTEND_NAME" -g "$RG" &>/dev/null; then
az containerapp show --name "$FRONTEND_NAME" -g "$RG" \
--query "properties.configuration.ingress.customDomains" \
-o json > /tmp/domains.json
fi
postprovision:
shell: sh
run: |
# Verify/restore custom domains
if [ -f /tmp/domains.json ]; then
echo "Saved domains: $(cat /tmp/domains.json)"
fi
```
### Handling Existing Resources
```bicep
// Reference existing ACR (don't recreate)
resource containerRegistry 'Microsoft.ContainerRegistry/registries@2023-07-01' existing = {
name: containerRegistryName
}
// Set customDomains to null to preserve Portal-added domains
customDomains: empty(customDomainsParam) ? null : customDomainsParam
```
## Container App Service Discovery
Internal HTTP routing between Container Apps in same environment:
```bicep
// Backend reference in frontend env vars
env: [
{
name: 'BACKEND_URL'
value: 'http://ca-backend-${resourceToken}' // Internal DNS
}
]
```
Frontend nginx proxies to internal URL:
```nginx
location /api {
proxy_pass $BACKEND_URL;
}
```
## Managed Identity & RBAC
### Enable System-Assigned Identity
```bicep
resource containerApp 'Microsoft.App/containerApps@2024-03-01' = {
identity: {
type: 'SystemAssigned'
}
}
output principalId string = containerApp.identity.principalId
```
### Post-Provision RBAC Assignment
```yaml
hooks:
postprovision:
shell: sh
run: |
PRINCIPAL_ID="${BACKEND_PRINCIPAL_ID}"
# Azure OpenAI access
az role assignment create \
--assignee-object-id "$PRINCIPAL_ID" \
--assignee-principal-type ServicePrincipal \
--role "Cognitive Services OpenAI User" \
--scope "$OPENAI_RESOURCE_ID" 2>/dev/null || true
# Azure AI Search access
az role assignment create \
--assignee-object-id "$PRINCIPAL_ID" \
--role "Search Index Data Reader" \
--scope "$SEARCH_RESOURCE_ID" 2>/dev/null || true
```
## Common Commands
```bash
# Environment management
azd env list # List environments
azd env select <name> # Switch environment
azd env get-values # Show all env vars
azd env set KEY value # Set variable
# Deployment
azd up # Full provision + deploy
azd provision # Infrastructure only
azd deploy # Code deployment only
azd deploy --service backend # Deploy single service
# Debugging
azd show # Show project status
az containerapp logs show -n <app> -g <rg> --follow # Stream logs
```
## Reference Files
- **Bicep patterns**: See [references/bicep-patterns.md](references/bicep-patterns.md) for Container Apps modules
- **Troubleshooting**: See [references/troubleshooting.md](references/troubleshooting.md) for common issues
- **azure.yaml schema**: See [references/azure-yaml-schema.md](references/azure-yaml-schema.md) for full options
## Critical Reminders
1. **Always use `remoteBuild: true`** - Local builds fail on M1/ARM Macs deploying to AMD64
2. **Bicep outputs auto-populate .azure/<env>/.env** - Don't manually edit
3. **Use `azd env set` for secrets** - Not main.parameters.json defaults
4. **Service tags (`azd-service-name`)** - Required for azd to find Container Apps
5. **`|| true` in hooks** - Prevent RBAC "already exists" errors from failing deploy
在使用技能包之前做安全掃描,並按結論決定放行或攔截的技能。
為 OpenClaw 配置 OpenRouter 免費模型與回退鏈的工具。
備份與恢復 OpenClaw 配置、憑據與工作區的技能。
設定並使用 1Password CLI 處理金鑰。
一款被描述為可偵測提示注入與危險命令的 OpenClaw 安全外掛。
遠端控制 tmux 會話,向互動式命令列傳送按鍵並抓取輸出。
以應用安全工程師視角做程式碼與架構的安全審計。
管理騰訊雲物件儲存與資料永珍的技能。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。