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Get Started Free →Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.
.claude/skills/azd-deployment/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | — | — |
| case-19 | ✗→✓ | ▲ Improved | — | — |
| case-17 | ✗→✓ | ▲ Improved | — | — |
| case-11 | ✗→✓ | ▲ Improved | — | — |
| case-01 | ✗→✓ | ▲ Improved | — | — |
Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.
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
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/Dockerfileyamlname: azd-deployment services: backend: project: ./src/backend language: python host: containerapp docker: path: ./Dockerfile remoteBuild: true
yamlname: azd-deployment metadata: template: my-project@1.0.0 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: ${SERVICE_BACKEND_URI}"
| Option | Description | |--------|-------------| | remoteBuild: true | Build images in Azure Container Registry (recommended) | | context: . | Docker build context relative to project path | | host: containerapp | Deploy to Azure Container Apps | | infra.provider: bicep | Use Bicep for infrastructure |
.env - For local development only.azure/<env>/.env - azd-managed, auto-populated from Bicep outputsmain.parameters.json - Maps env vars to Bicep parametersjson// infra/main.parameters.json { "parameters": { "environmentName": { "value": "${AZURE_ENV_NAME}" }, "location": { "value": "${AZURE_LOCATION=eastus2}" }, "azureOpenAiEndpoint": { "value": "${AZURE_OPENAI_ENDPOINT}" } } }
Syntax: ${VAR_NAME} or ${VAR_NAME=default_value}
bash# Set for current environment azd env set AZURE_OPENAI_ENDPOINT "https://my-openai.openai.azure.com" azd env set AZURE_SEARCH_ENDPOINT "https://my-search.search.windows.net" # Set during init azd env new prod azd env set AZURE_OPENAI_ENDPOINT "..."
bicep// In main.bicep - outputs auto-populate .azure/<env>/.env output SERVICE_FRONTEND_URI string = frontend.outputs.uri output SERVICE_BACKEND_URI string = backend.outputs.uri output BACKEND_PRINCIPAL_ID string = backend.outputs.principalId
Custom domains added via Portal can be lost on redeploy. Preserve with hooks:
yamlhooks: preprovision: shell: sh run: | # Save custom domains before provision if az containerapp show --name "$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: $(cat /tmp/domains.json)" fi
bicep// Reference existing ACR (don't recreate) resource containerRegistry 'Microsoft.ContainerRegistry/registries@2023-07-01' existing = { name: containerRegistryName } // Set customDomains to null to preserve Portal-added domains customDomains: empty(customDomainsParam) ? null : customDomainsParam
Internal HTTP routing between Container Apps in same environment:
bicep// Backend reference in frontend env vars env: [ { name: 'BACKEND_URL' value: 'http://ca-backend-${resourceToken}' // Internal DNS } ]
Frontend nginx proxies to internal URL:
nginxlocation /api { proxy_pass $BACKEND_URL; }
bicepresource containerApp 'Microsoft.App/containerApps@2024-03-01' = { identity: { type: 'SystemAssigned' } } output principalId string = containerApp.identity.principalId
yamlhooks: postprovision: shell: sh run: | PRINCIPAL_ID="${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
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
remoteBuild: true - Local builds fail on M1/ARM Macs deploying to AMD64azd env set for secrets - Not main.parameters.json defaultsazd-service-name) - Required for azd to find Container Apps|| true in hooks - Prevent RBAC "already exists" errors from failing deployThis skill is applicable to execute the workflow or actions described in the overview.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-18 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-23 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 22 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +35 percentage points is the difference between those two pass rates over the 22 comparable cases.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.