azure-eventhub-dotnet
Azure Event Hubs SDK for .NET. Use for high-throughput event streaming: sending events (EventHubProducerClient, EventHubBufferedProducerClient), receiving events (EventProcessorClient with checkpointing), partition management, and real-time data ingestion. Triggers: "Event Hubs", "event streaming", "EventHubProducerClient", "EventProcessorClient", "send events", "receive events", "checkpointing", "partition".
Best use case
azure-eventhub-dotnet is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Azure Event Hubs SDK for .NET. Use for high-throughput event streaming: sending events (EventHubProducerClient, EventHubBufferedProducerClient), receiving events (EventProcessorClient with checkpointing), partition management, and real-time data ingestion. Triggers: "Event Hubs", "event streaming", "EventHubProducerClient", "EventProcessorClient", "send events", "receive events", "checkpointing", "partition".
Azure Event Hubs SDK for .NET. Use for high-throughput event streaming: sending events (EventHubProducerClient, EventHubBufferedProducerClient), receiving events (EventProcessorClient with checkpointing), partition management, and real-time data ingestion. Triggers: "Event Hubs", "event streaming", "EventHubProducerClient", "EventProcessorClient", "send events", "receive events", "checkpointing", "partition".
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "azure-eventhub-dotnet" skill to help with this workflow task. Context: Azure Event Hubs SDK for .NET. Use for high-throughput event streaming: sending events (EventHubProducerClient, EventHubBufferedProducerClient), receiving events (EventProcessorClient with checkpointing), partition management, and real-time data ingestion. Triggers: "Event Hubs", "event streaming", "EventHubProducerClient", "EventProcessorClient", "send events", "receive events", "checkpointing", "partition".
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-eventhub-dotnet/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-eventhub-dotnet Compares
| Feature / Agent | azure-eventhub-dotnet | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Azure Event Hubs SDK for .NET. Use for high-throughput event streaming: sending events (EventHubProducerClient, EventHubBufferedProducerClient), receiving events (EventProcessorClient with checkpointing), partition management, and real-time data ingestion. Triggers: "Event Hubs", "event streaming", "EventHubProducerClient", "EventProcessorClient", "send events", "receive events", "checkpointing", "partition".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Azure.Messaging.EventHubs (.NET)
High-throughput event streaming SDK for sending and receiving events via Azure Event Hubs.
## Installation
```bash
# Core package (sending and simple receiving)
dotnet add package Azure.Messaging.EventHubs
# Processor package (production receiving with checkpointing)
dotnet add package Azure.Messaging.EventHubs.Processor
# Authentication
dotnet add package Azure.Identity
# For checkpointing (required by EventProcessorClient)
dotnet add package Azure.Storage.Blobs
```
**Current Versions**: Azure.Messaging.EventHubs v5.12.2, Azure.Messaging.EventHubs.Processor v5.12.2
## Environment Variables
```bash
EVENTHUB_FULLY_QUALIFIED_NAMESPACE=<namespace>.servicebus.windows.net
EVENTHUB_NAME=<event-hub-name>
# For checkpointing (EventProcessorClient)
BLOB_STORAGE_CONNECTION_STRING=<storage-connection-string>
BLOB_CONTAINER_NAME=<checkpoint-container>
# Alternative: Connection string auth (not recommended for production)
EVENTHUB_CONNECTION_STRING=Endpoint=sb://<namespace>.servicebus.windows.net/;SharedAccessKeyName=...
```
## Authentication
```csharp
using Azure.Identity;
using Azure.Messaging.EventHubs;
using Azure.Messaging.EventHubs.Producer;
// Always use DefaultAzureCredential for production
var credential = new DefaultAzureCredential();
var fullyQualifiedNamespace = Environment.GetEnvironmentVariable("EVENTHUB_FULLY_QUALIFIED_NAMESPACE");
var eventHubName = Environment.GetEnvironmentVariable("EVENTHUB_NAME");
var producer = new EventHubProducerClient(
fullyQualifiedNamespace,
eventHubName,
credential);
```
**Required RBAC Roles**:
- **Sending**: `Azure Event Hubs Data Sender`
- **Receiving**: `Azure Event Hubs Data Receiver`
- **Both**: `Azure Event Hubs Data Owner`
## Client Types
| Client | Purpose | When to Use |
|--------|---------|-------------|
| `EventHubProducerClient` | Send events immediately in batches | Real-time sending, full control over batching |
| `EventHubBufferedProducerClient` | Automatic batching with background sending | High-volume, fire-and-forget scenarios |
| `EventHubConsumerClient` | Simple event reading | Prototyping only, NOT for production |
| `EventProcessorClient` | Production event processing | **Always use this for receiving in production** |
## Core Workflow
### 1. Send Events (Batch)
```csharp
using Azure.Identity;
using Azure.Messaging.EventHubs;
using Azure.Messaging.EventHubs.Producer;
await using var producer = new EventHubProducerClient(
fullyQualifiedNamespace,
eventHubName,
new DefaultAzureCredential());
// Create a batch (respects size limits automatically)
using EventDataBatch batch = await producer.CreateBatchAsync();
// Add events to batch
var events = new[]
{
new EventData(BinaryData.FromString("{\"id\": 1, \"message\": \"Hello\"}")),
new EventData(BinaryData.FromString("{\"id\": 2, \"message\": \"World\"}"))
};
foreach (var eventData in events)
{
if (!batch.TryAdd(eventData))
{
// Batch is full - send it and create a new one
await producer.SendAsync(batch);
batch = await producer.CreateBatchAsync();
if (!batch.TryAdd(eventData))
{
throw new Exception("Event too large for empty batch");
}
}
}
// Send remaining events
if (batch.Count > 0)
{
await producer.SendAsync(batch);
}
```
### 2. Send Events (Buffered - High Volume)
```csharp
using Azure.Messaging.EventHubs.Producer;
var options = new EventHubBufferedProducerClientOptions
{
MaximumWaitTime = TimeSpan.FromSeconds(1)
};
await using var producer = new EventHubBufferedProducerClient(
fullyQualifiedNamespace,
eventHubName,
new DefaultAzureCredential(),
options);
// Handle send success/failure
producer.SendEventBatchSucceededAsync += args =>
{
Console.WriteLine($"Batch sent: {args.EventBatch.Count} events");
return Task.CompletedTask;
};
producer.SendEventBatchFailedAsync += args =>
{
Console.WriteLine($"Batch failed: {args.Exception.Message}");
return Task.CompletedTask;
};
// Enqueue events (sent automatically in background)
for (int i = 0; i < 1000; i++)
{
await producer.EnqueueEventAsync(new EventData($"Event {i}"));
}
// Flush remaining events before disposing
await producer.FlushAsync();
```
### 3. Receive Events (Production - EventProcessorClient)
```csharp
using Azure.Identity;
using Azure.Messaging.EventHubs;
using Azure.Messaging.EventHubs.Consumer;
using Azure.Messaging.EventHubs.Processor;
using Azure.Storage.Blobs;
// Blob container for checkpointing
var blobClient = new BlobContainerClient(
Environment.GetEnvironmentVariable("BLOB_STORAGE_CONNECTION_STRING"),
Environment.GetEnvironmentVariable("BLOB_CONTAINER_NAME"));
await blobClient.CreateIfNotExistsAsync();
// Create processor
var processor = new EventProcessorClient(
blobClient,
EventHubConsumerClient.DefaultConsumerGroup,
fullyQualifiedNamespace,
eventHubName,
new DefaultAzureCredential());
// Handle events
processor.ProcessEventAsync += async args =>
{
Console.WriteLine($"Partition: {args.Partition.PartitionId}");
Console.WriteLine($"Data: {args.Data.EventBody}");
// Checkpoint after processing (or batch checkpoints)
await args.UpdateCheckpointAsync();
};
// Handle errors
processor.ProcessErrorAsync += args =>
{
Console.WriteLine($"Error: {args.Exception.Message}");
Console.WriteLine($"Partition: {args.PartitionId}");
return Task.CompletedTask;
};
// Start processing
await processor.StartProcessingAsync();
// Run until cancelled
await Task.Delay(Timeout.Infinite, cancellationToken);
// Stop gracefully
await processor.StopProcessingAsync();
```
### 4. Partition Operations
```csharp
// Get partition IDs
string[] partitionIds = await producer.GetPartitionIdsAsync();
// Send to specific partition (use sparingly)
var options = new SendEventOptions
{
PartitionId = "0"
};
await producer.SendAsync(events, options);
// Use partition key (recommended for ordering)
var batchOptions = new CreateBatchOptions
{
PartitionKey = "customer-123" // Events with same key go to same partition
};
using var batch = await producer.CreateBatchAsync(batchOptions);
```
## EventPosition Options
Control where to start reading:
```csharp
// Start from beginning
EventPosition.Earliest
// Start from end (new events only)
EventPosition.Latest
// Start from specific offset
EventPosition.FromOffset(12345)
// Start from specific sequence number
EventPosition.FromSequenceNumber(100)
// Start from specific time
EventPosition.FromEnqueuedTime(DateTimeOffset.UtcNow.AddHours(-1))
```
## ASP.NET Core Integration
```csharp
// Program.cs
using Azure.Identity;
using Azure.Messaging.EventHubs.Producer;
using Microsoft.Extensions.Azure;
builder.Services.AddAzureClients(clientBuilder =>
{
clientBuilder.AddEventHubProducerClient(
builder.Configuration["EventHub:FullyQualifiedNamespace"],
builder.Configuration["EventHub:Name"]);
clientBuilder.UseCredential(new DefaultAzureCredential());
});
// Inject in controller/service
public class EventService
{
private readonly EventHubProducerClient _producer;
public EventService(EventHubProducerClient producer)
{
_producer = producer;
}
public async Task SendAsync(string message)
{
using var batch = await _producer.CreateBatchAsync();
batch.TryAdd(new EventData(message));
await _producer.SendAsync(batch);
}
}
```
## Best Practices
1. **Use `EventProcessorClient` for receiving** — Never use `EventHubConsumerClient` in production
2. **Checkpoint strategically** — After N events or time interval, not every event
3. **Use partition keys** — For ordering guarantees within a partition
4. **Reuse clients** — Create once, use as singleton (thread-safe)
5. **Use `await using`** — Ensures proper disposal
6. **Handle `ProcessErrorAsync`** — Always register error handler
7. **Batch events** — Use `CreateBatchAsync()` to respect size limits
8. **Use buffered producer** — For high-volume scenarios with automatic batching
## Error Handling
```csharp
using Azure.Messaging.EventHubs;
try
{
await producer.SendAsync(batch);
}
catch (EventHubsException ex) when (ex.Reason == EventHubsException.FailureReason.ServiceBusy)
{
// Retry with backoff
await Task.Delay(TimeSpan.FromSeconds(5));
}
catch (EventHubsException ex) when (ex.IsTransient)
{
// Transient error - safe to retry
Console.WriteLine($"Transient error: {ex.Message}");
}
catch (EventHubsException ex)
{
// Non-transient error
Console.WriteLine($"Error: {ex.Reason} - {ex.Message}");
}
```
## Checkpointing Strategies
| Strategy | When to Use |
|----------|-------------|
| Every event | Low volume, critical data |
| Every N events | Balanced throughput/reliability |
| Time-based | Consistent checkpoint intervals |
| Batch completion | After processing a logical batch |
```csharp
// Checkpoint every 100 events
private int _eventCount = 0;
processor.ProcessEventAsync += async args =>
{
// Process event...
_eventCount++;
if (_eventCount >= 100)
{
await args.UpdateCheckpointAsync();
_eventCount = 0;
}
};
```
## Related SDKs
| SDK | Purpose | Install |
|-----|---------|---------|
| `Azure.Messaging.EventHubs` | Core sending/receiving | `dotnet add package Azure.Messaging.EventHubs` |
| `Azure.Messaging.EventHubs.Processor` | Production processing | `dotnet add package Azure.Messaging.EventHubs.Processor` |
| `Azure.ResourceManager.EventHubs` | Management plane (create hubs) | `dotnet add package Azure.ResourceManager.EventHubs` |
| `Microsoft.Azure.WebJobs.Extensions.EventHubs` | Azure Functions binding | `dotnet add package Microsoft.Azure.WebJobs.Extensions.EventHubs` |Related Skills
azure-quotas
Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".
microsoft-azure-webjobs-extensions-authentication-events-dotnet
Microsoft Entra Authentication Events SDK for .NET. Azure Functions triggers for custom authentication extensions. Use for token enrichment, custom claims, attribute collection, and OTP customization in Entra ID. Triggers: "Authentication Events", "WebJobsAuthenticationEventsTrigger", "OnTokenIssuanceStart", "OnAttributeCollectionStart", "custom claims", "token enrichment", "Entra custom extension", "authentication extension".
m365-agents-dotnet
Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth. Triggers: "Microsoft 365 Agents SDK", "Microsoft.Agents", "AddAgentApplicationOptions", "AgentApplication", "AddAgentAspNetAuthentication", "Copilot Studio client", "IAgentHttpAdapter".
dotnet-backend
Build ASP.NET Core 8+ backend services with EF Core, auth, background jobs, and production API patterns.
dotnet-backend-patterns
Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.
dotnet-architect
Expert .NET backend architect specializing in C#, ASP.NET Core, Entity Framework, Dapper, and enterprise application patterns. Masters async/await, dependency injection, caching strategies, and performance optimization. Use PROACTIVELY for .NET API development, code review, or architecture decisions.
azure-web-pubsub-ts
Build real-time messaging applications using Azure Web PubSub SDKs for JavaScript (@azure/web-pubsub, @azure/web-pubsub-client). Use when implementing WebSocket-based real-time features, pub/sub messaging, group chat, or live notifications.
azure-storage-queue-ts
Azure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues. Supports visibility timeout, message encoding, and batch operations. Triggers: "queue storage", "@azure/storage-queue", "QueueServiceClient", "QueueClient", "send message", "receive message", "dequeue", "visibility timeout".
azure-storage-queue-py
Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing. Triggers: "queue storage", "QueueServiceClient", "QueueClient", "message queue", "dequeue".
azure-storage-file-share-ts
Azure File Share JavaScript/TypeScript SDK (@azure/storage-file-share) for SMB file share operations. Use for creating shares, managing directories, uploading/downloading files, and handling file metadata. Supports Azure Files SMB protocol scenarios. Triggers: "file share", "@azure/storage-file-share", "ShareServiceClient", "ShareClient", "SMB", "Azure Files".
azure-storage-file-share-py
Azure Storage File Share SDK for Python. Use for SMB file shares, directories, and file operations in the cloud. Triggers: "azure-storage-file-share", "ShareServiceClient", "ShareClient", "file share", "SMB".
azure-storage-file-datalake-py
Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations. Triggers: "data lake", "DataLakeServiceClient", "FileSystemClient", "ADLS Gen2", "hierarchical namespace".