azure-mgmt-apimanagement-dotnet

Azure Resource Manager SDK for API Management in .NET. Use for MANAGEMENT PLANE operations: creating/managing APIM services, APIs, products, subscriptions, policies, users, groups, gateways, and backends via Azure Resource Manager. Triggers: "API Management", "APIM service", "create APIM", "manage APIs", "ApiManagementServiceResource", "API policies", "APIM products", "APIM subscriptions".

npx skills add https://github.com/microsoft/skills --skill azure-mgmt-apimanagement-dotnet

Azure.ResourceManager.ApiManagement (.NET)

Management plane SDK for provisioning and managing Azure API Management resources via Azure Resource Manager.

⚠️ Management vs Data Plane

  • This SDK (Azure.ResourceManager.ApiManagement): Create services, APIs, products, subscriptions, policies, users, groups
  • Data Plane: Direct API calls to your APIM gateway endpoints

Installation

dotnet add package Azure.ResourceManager.ApiManagement
dotnet add package Azure.Identity

Current Version: v1.3.0

Environment Variables

AZURE_SUBSCRIPTION_ID=<your-subscription-id> # Required: Azure subscription ID
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production
AZURE_TENANT_ID=<tenant-id> # For service principal auth (optional)
AZURE_CLIENT_ID=<client-id> # For service principal auth (optional)
AZURE_CLIENT_SECRET=<client-secret> # For service principal auth (optional)

Authentication

using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.ApiManagement;

// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
var credential = new DefaultAzureCredential(
    DefaultAzureCredential.DefaultEnvironmentVariableName
);
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes
// var credential = new ManagedIdentityCredential();
var armClient = new ArmClient(credential);

// Get subscription
var subscriptionId = Environment.GetEnvironmentVariable("AZURE_SUBSCRIPTION_ID");
var subscription = armClient.GetSubscriptionResource(
    new ResourceIdentifier($"/subscriptions/{subscriptionId}"));

Resource Hierarchy

ArmClient
└── SubscriptionResource
    └── ResourceGroupResource
        └── ApiManagementServiceResource
            ├── ApiResource
            │   ├── ApiOperationResource
            │   │   └── ApiOperationPolicyResource
            │   ├── ApiPolicyResource
            │   ├── ApiSchemaResource
            │   └── ApiDiagnosticResource
            ├── ApiManagementProductResource
            │   ├── ProductApiResource
            │   ├── ProductGroupResource
            │   └── ProductPolicyResource
            ├── ApiManagementSubscriptionResource
            ├── ApiManagementPolicyResource
            ├── ApiManagementUserResource
            ├── ApiManagementGroupResource
            ├── ApiManagementBackendResource
            ├── ApiManagementGatewayResource
            ├── ApiManagementCertificateResource
            ├── ApiManagementNamedValueResource
            └── ApiManagementLoggerResource

Core Workflow

1. Create API Management Service

using Azure.ResourceManager.ApiManagement;
using Azure.ResourceManager.ApiManagement.Models;

// Get resource group
var resourceGroup = await subscription
    .GetResourceGroupAsync("my-resource-group");

// Define service
var serviceData = new ApiManagementServiceData(
    location: AzureLocation.EastUS,
    sku: new ApiManagementServiceSkuProperties(
        ApiManagementServiceSkuType.Developer, 
        capacity: 1),
    publisherEmail: "admin@contoso.com",
    publisherName: "Contoso");

// Create service (long-running operation - can take 30+ minutes)
var serviceCollection = resourceGroup.Value.GetApiManagementServices();
var operation = await serviceCollection.CreateOrUpdateAsync(
    WaitUntil.Completed,
    "my-apim-service",
    serviceData);

ApiManagementServiceResource service = operation.Value;

2. Create an API

var apiData = new ApiCreateOrUpdateContent
{
    DisplayName = "My API",
    Path = "myapi",
    Protocols = { ApiOperationInvokableProtocol.Https },
    ServiceUri = new Uri("https://backend.contoso.com/api")
};

var apiCollection = service.GetApis();
var apiOperation = await apiCollection.CreateOrUpdateAsync(
    WaitUntil.Completed,
    "my-api",
    apiData);

ApiResource api = apiOperation.Value;

3. Create a Product

var productData = new ApiManagementProductData
{
    DisplayName = "Starter",
    Description = "Starter tier with limited access",
    IsSubscriptionRequired = true,
    IsApprovalRequired = false,
    SubscriptionsLimit = 1,
    State = ApiManagementProductState.Published
};

var productCollection = service.GetApiManagementProducts();
var productOperation = await productCollection.CreateOrUpdateAsync(
    WaitUntil.Completed,
    "starter",
    productData);

ApiManagementProductResource product = productOperation.Value;

// Add API to product
await product.GetProductApis().CreateOrUpdateAsync(
    WaitUntil.Completed,
    "my-api");

4. Create a Subscription

var subscriptionData = new ApiManagementSubscriptionCreateOrUpdateContent
{
    DisplayName = "My Subscription",
    Scope = $"/products/{product.Data.Name}",
    State = ApiManagementSubscriptionState.Active
};

var subscriptionCollection = service.GetApiManagementSubscriptions();
var subOperation = await subscriptionCollection.CreateOrUpdateAsync(
    WaitUntil.Completed,
    "my-subscription",
    subscriptionData);

ApiManagementSubscriptionResource subscription = subOperation.Value;

// Get subscription keys
var keys = await subscription.GetSecretsAsync();
Console.WriteLine($"Primary Key: {keys.Value.PrimaryKey}");

5. Set API Policy

var policyXml = @"
<policies>
    <inbound>
        <rate-limit calls=""100"" renewal-period=""60"" />
        <set-header name=""X-Custom-Header"" exists-action=""override"">
            <value>CustomValue</value>
        </set-header>
        <base />
    </inbound>
    <backend>
        <base />
    </backend>
    <outbound>
        <base />
    </outbound>
    <on-error>
        <base />
    </on-error>
</policies>";

var policyData = new PolicyContractData
{
    Value = policyXml,
    Format = PolicyContentFormat.Xml
};

await api.GetApiPolicy().CreateOrUpdateAsync(
    WaitUntil.Completed,
    policyData);

6. Backup and Restore

// Backup
var backupParams = new ApiManagementServiceBackupRestoreContent(
    storageAccount: "mystorageaccount",
    containerName: "apim-backups",
    backupName: "backup-2024-01-15")
{
    AccessType = StorageAccountAccessType.SystemAssignedManagedIdentity
};

await service.BackupAsync(WaitUntil.Completed, backupParams);

// Restore
await service.RestoreAsync(WaitUntil.Completed, backupParams);

Key Types Reference

TypePurpose
ArmClientEntry point for all ARM operations
ApiManagementServiceResourceRepresents an APIM service instance
ApiManagementServiceCollectionCollection for service CRUD
ApiResourceRepresents an API
ApiManagementProductResourceRepresents a product
ApiManagementSubscriptionResourceRepresents a subscription
ApiManagementPolicyResourceService-level policy
ApiPolicyResourceAPI-level policy
ApiManagementUserResourceRepresents a user
ApiManagementGroupResourceRepresents a group
ApiManagementBackendResourceRepresents a backend service
ApiManagementGatewayResourceRepresents a self-hosted gateway

SKU Types

SKUPurposeCapacity
DeveloperDevelopment/testing (no SLA)1
BasicEntry-level production1-2
StandardMedium workloads1-4
PremiumHigh availability, multi-region1-12 per region
ConsumptionServerless, pay-per-callN/A

Best Practices

  1. Use WaitUntil.Completed for operations that must finish before proceeding
  2. Use WaitUntil.Started for long operations like service creation (30+ min)
  3. Always use DefaultAzureCredential — never hardcode keys
  4. Handle RequestFailedException for ARM API errors
  5. Use CreateOrUpdateAsync for idempotent operations
  6. Navigate hierarchy via Get* methods (e.g., service.GetApis())
  7. Policy format — Use XML format for policies; JSON is also supported
  8. Service creation — Developer SKU is fastest for testing (~15-30 min)

Error Handling

using Azure;

try
{
    var operation = await serviceCollection.CreateOrUpdateAsync(
        WaitUntil.Completed, serviceName, serviceData);
}
catch (RequestFailedException ex) when (ex.Status == 409)
{
    Console.WriteLine("Service already exists");
}
catch (RequestFailedException ex) when (ex.Status == 400)
{
    Console.WriteLine($"Bad request: {ex.Message}");
}
catch (RequestFailedException ex)
{
    Console.WriteLine($"ARM Error: {ex.Status} - {ex.ErrorCode}: {ex.Message}");
}

Reference Files

FileWhen to Read
references/service-management.mdService CRUD, SKUs, networking, backup/restore
references/apis-operations.mdAPIs, operations, schemas, versioning
references/products-subscriptions.mdProducts, subscriptions, access control
references/policies.mdPolicy XML patterns, scopes, common policies

Related Resources

ResourcePurpose
API Management DocumentationOfficial Azure docs
Policy ReferenceComplete policy reference
SDK Reference.NET API reference

Más skills de microsoft

oss-growth
microsoft
Persona de growth hacker de OSS
agent-framework-azure-ai-py
microsoft
Crea agentes de Azure AI Foundry usando el SDK de Python de Microsoft Agent Framework (agent-framework-azure-ai). Úsalo al crear agentes persistentes con AzureAIAgentsProvider, usando herramientas alojadas (intérprete de código, búsqueda de archivos, búsqueda web), integrando servidores MCP, gestionando hilos de conversación o implementando respuestas en streaming. Cubre herramientas de función, salidas estructuradas y agentes con múltiples herramientas.
development
airunway-aks-setup
microsoft
Configura AI Runway en AKS: desde un clúster vacío hasta un modelo en ejecución. Incluye verificación del clúster, instalación del controlador, evaluación de GPU, configuración del proveedor y primer despliegue. CUÁNDO: "configurar AI Runway", "incorporar clúster AKS", "instalar AI Runway", "configuración de airunway", "desplegar modelo en AKS", "inferencia GPU en AKS", "configuración de KAITO en AKS", "ejecutar LLM en AKS", "vLLM en AKS", "configurar servicio de modelos en AKS", "controlador de AI Runway".
devops
appinsights-instrumentation
microsoft
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
devops
applicationinsights-web-ts
microsoft
Instrumenta aplicaciones web/navegador con el SDK de JavaScript de Application Insights (@microsoft/applicationinsights-web). Úsalo para monitoreo de usuarios reales (RUM): vistas de página, clics, dependencias AJAX/fetch, excepciones, eventos personalizados y trazas de agentes GenAI del lado del navegador correlacionadas con trazas de OpenTelemetry del backend. Cubre el script de carga del SDK y la configuración npm, extensiones de frameworks (React, React Native, Angular), Click Analytics, inicializadores de telemetría y convenciones semánticas de GenAI de OTel para spans de agentes/herramientas/modelos emitidos desde el navegador.
devops
azure-ai-anomalydetector-java
microsoft
Cree aplicaciones de detección de anomalías con el SDK de Azure AI Anomaly Detector para Java. Úselo al implementar detección de anomalías univariadas/multivariadas, análisis de series temporales o monitoreo impulsado por IA.
development
azure-ai-language-conversations-py
microsoft
Implementa el reconocimiento del lenguaje conversacional (CLU) utilizando el SDK de Python azure-ai-language-conversations. Úsalo al trabajar con ConversationAnalysisClient para analizar la intención y las entidades de la conversación, crear funciones de NLP o integrar el reconocimiento del lenguaje en aplicaciones.
development
azure-ai-ml-py
microsoft
SDK v2 de Azure Machine Learning para Python. Úselo para áreas de trabajo de ML, trabajos, modelos, conjuntos de datos, cómputo y canalizaciones. Disparadores: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development