azure-resource-manager-cosmosdb-dotnet

SDK de Azure Resource Manager para Cosmos DB en .NET. Úselo para operaciones del PLANO DE ADMINISTRACIÓN: crear/administrar cuentas de Cosmos DB, bases de datos, contenedores, configuraciones de rendimiento y RBAC mediante Azure Resource Manager. NO para operaciones del plano de datos (CRUD en documentos) - use Microsoft.Azure.Cosmos para eso. Disparadores: "cuenta de Cosmos DB", "crear cuenta de Cosmos", "administrar recursos de Cosmos", "ARM Cosmos", "CosmosDBAccountResource", "aprovisionar Cosmos DB".

npx skills add https://github.com/microsoft/skills --skill azure-resource-manager-cosmosdb-dotnet

Azure.ResourceManager.CosmosDB (.NET)

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

⚠️ Management vs Data Plane

  • This SDK (Azure.ResourceManager.CosmosDB): Create accounts, databases, containers, configure throughput, manage RBAC
  • Data Plane SDK (Microsoft.Azure.Cosmos): CRUD operations on documents, queries, stored procedures execution

Installation

dotnet add package Azure.ResourceManager.CosmosDB
dotnet add package Azure.Identity

Current Versions: Stable v1.4.0, Preview v1.4.0-beta.13

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.CosmosDB;

// 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
        └── CosmosDBAccountResource
            ├── CosmosDBSqlDatabaseResource
            │   └── CosmosDBSqlContainerResource
            │       ├── CosmosDBSqlStoredProcedureResource
            │       ├── CosmosDBSqlTriggerResource
            │       └── CosmosDBSqlUserDefinedFunctionResource
            ├── CassandraKeyspaceResource
            ├── GremlinDatabaseResource
            ├── MongoDBDatabaseResource
            └── CosmosDBTableResource

Core Workflow

1. Create Cosmos DB Account

using Azure.ResourceManager.CosmosDB;
using Azure.ResourceManager.CosmosDB.Models;

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

// Define account
var accountData = new CosmosDBAccountCreateOrUpdateContent(
    location: AzureLocation.EastUS,
    locations: new[]
    {
        new CosmosDBAccountLocation
        {
            LocationName = AzureLocation.EastUS,
            FailoverPriority = 0,
            IsZoneRedundant = false
        }
    })
{
    Kind = CosmosDBAccountKind.GlobalDocumentDB,
    ConsistencyPolicy = new ConsistencyPolicy(DefaultConsistencyLevel.Session),
    EnableAutomaticFailover = true
};

// Create account (long-running operation)
var accountCollection = resourceGroup.Value.GetCosmosDBAccounts();
var operation = await accountCollection.CreateOrUpdateAsync(
    WaitUntil.Completed,
    "my-cosmos-account",
    accountData);

CosmosDBAccountResource account = operation.Value;

2. Create SQL Database

var databaseData = new CosmosDBSqlDatabaseCreateOrUpdateContent(
    new CosmosDBSqlDatabaseResourceInfo("my-database"));

var databaseCollection = account.GetCosmosDBSqlDatabases();
var dbOperation = await databaseCollection.CreateOrUpdateAsync(
    WaitUntil.Completed,
    "my-database",
    databaseData);

CosmosDBSqlDatabaseResource database = dbOperation.Value;

3. Create SQL Container

var containerData = new CosmosDBSqlContainerCreateOrUpdateContent(
    new CosmosDBSqlContainerResourceInfo("my-container")
    {
        PartitionKey = new CosmosDBContainerPartitionKey
        {
            Paths = { "/partitionKey" },
            Kind = CosmosDBPartitionKind.Hash
        },
        IndexingPolicy = new CosmosDBIndexingPolicy
        {
            Automatic = true,
            IndexingMode = CosmosDBIndexingMode.Consistent
        },
        DefaultTtl = 86400 // 24 hours
    });

var containerCollection = database.GetCosmosDBSqlContainers();
var containerOperation = await containerCollection.CreateOrUpdateAsync(
    WaitUntil.Completed,
    "my-container",
    containerData);

CosmosDBSqlContainerResource container = containerOperation.Value;

4. Configure Throughput

// Manual throughput
var throughputData = new ThroughputSettingsUpdateData(
    new ThroughputSettingsResourceInfo
    {
        Throughput = 400
    });

// Autoscale throughput
var autoscaleData = new ThroughputSettingsUpdateData(
    new ThroughputSettingsResourceInfo
    {
        AutoscaleSettings = new AutoscaleSettingsResourceInfo
        {
            MaxThroughput = 4000
        }
    });

// Apply to database
await database.CreateOrUpdateCosmosDBSqlDatabaseThroughputAsync(
    WaitUntil.Completed,
    throughputData);

5. Get Connection Information

// Get keys
var keys = await account.GetKeysAsync();
Console.WriteLine($"Primary Key: {keys.Value.PrimaryMasterKey}");

// Get connection strings
var connectionStrings = await account.GetConnectionStringsAsync();
foreach (var cs in connectionStrings.Value.ConnectionStrings)
{
    Console.WriteLine($"{cs.Description}: {cs.ConnectionString}");
}

Key Types Reference

TypePurpose
ArmClientEntry point for all ARM operations
CosmosDBAccountResourceRepresents a Cosmos DB account
CosmosDBAccountCollectionCollection for account CRUD
CosmosDBSqlDatabaseResourceSQL API database
CosmosDBSqlContainerResourceSQL API container
CosmosDBAccountCreateOrUpdateContentAccount creation payload
CosmosDBSqlDatabaseCreateOrUpdateContentDatabase creation payload
CosmosDBSqlContainerCreateOrUpdateContentContainer creation payload
ThroughputSettingsUpdateDataThroughput configuration

Best Practices

  1. Use WaitUntil.Completed for operations that must finish before proceeding
  2. Use WaitUntil.Started when you want to poll manually or run operations in parallel
  3. 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., account.GetCosmosDBSqlDatabases())

Error Handling

using Azure;

try
{
    var operation = await accountCollection.CreateOrUpdateAsync(
        WaitUntil.Completed, accountName, accountData);
}
catch (RequestFailedException ex) when (ex.Status == 409)
{
    Console.WriteLine("Account already exists");
}
catch (RequestFailedException ex)
{
    Console.WriteLine($"ARM Error: {ex.Status} - {ex.ErrorCode}: {ex.Message}");
}

Reference Files

FileWhen to Read
references/account-management.mdAccount CRUD, failover, keys, connection strings, networking
references/sql-resources.mdSQL databases, containers, stored procedures, triggers, UDFs
references/throughput.mdManual/autoscale throughput, migration between modes

Related SDKs

SDKPurposeInstall
Microsoft.Azure.CosmosData plane (document CRUD, queries)dotnet add package Microsoft.Azure.Cosmos
Azure.ResourceManager.CosmosDBManagement plane (this SDK)dotnet add package Azure.ResourceManager.CosmosDB

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