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azure-eventhub-ts

Build event streaming applications using Azure Event Hubs SDK for JavaScript (@azure/event-hubs)

Install / Use

npx skills add microsoft/skills --skill azure-eventhub-ts

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

Universal

Our assessment of azure-eventhub-ts

azure-eventhub-ts scores 90/100 on our quality scale, 160th of 422 Data & Analytics skills we index (top 38%).

Its SKILL.md is 7.6 KB long, well organised into 16 sections with 14 code examples: a thorough specification that gives an agent plenty to work with.

With 3,051 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 6 days ago, so azure-eventhub-ts is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-30. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

azure-eventhub-ts compared with similar skills

All 4 of these similar skills score higher than azure-eventhub-ts; compare them before choosing.

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azure-eventhub-ts (this skill)by microsoft903.1k6d agoSKILL.md
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Frequently asked questions

How do I install azure-eventhub-ts?
Run npx skills add microsoft/skills --skill azure-eventhub-ts. The install tabs above show the steps for each supported agent.
Which AI agents does azure-eventhub-ts work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is azure-eventhub-ts safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is azure-eventhub-ts still maintained?
The repository was last updated 6 days ago, so azure-eventhub-ts is actively maintained.

name: azure-eventhub-ts description: Build event streaming applications using Azure Event Hubs SDK for JavaScript (@azure/event-hubs). Use when implementing high-throughput event ingestion, real-time analytics, IoT telemetry, or event-driven architectures with partitioned consumers. license: MIT metadata: author: Microsoft version: "1.0.0" package: '@azure/event-hubs'

Azure Event Hubs SDK for TypeScript

High-throughput event streaming and real-time data ingestion.

Installation

npm install @azure/event-hubs @azure/identity

For checkpointing with consumer groups:

npm install @azure/eventhubs-checkpointstore-blob @azure/storage-blob

Environment Variables

EVENTHUB_NAMESPACE=<namespace>.servicebus.windows.net
EVENTHUB_NAME=my-eventhub
STORAGE_ACCOUNT_NAME=<storage-account>
STORAGE_CONTAINER_NAME=checkpoints
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production

Authentication

import { EventHubProducerClient, EventHubConsumerClient } from "@azure/event-hubs";
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";

const fullyQualifiedNamespace = process.env.EVENTHUB_NAMESPACE!;
const eventHubName = process.env.EVENTHUB_NAME!;
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();

// Producer
const producer = new EventHubProducerClient(fullyQualifiedNamespace, eventHubName, credential);

// Consumer
const consumer = new EventHubConsumerClient(
  "$Default", // Consumer group
  fullyQualifiedNamespace,
  eventHubName,
  credential
);

Core Workflow

Send Events

const producer = new EventHubProducerClient(namespace, eventHubName, credential);

// Create batch and add events
const batch = await producer.createBatch();
batch.tryAdd({ body: { temperature: 72.5, deviceId: "sensor-1" } });
batch.tryAdd({ body: { temperature: 68.2, deviceId: "sensor-2" } });

await producer.sendBatch(batch);
await producer.close();

Send to Specific Partition

// By partition ID
const batch = await producer.createBatch({ partitionId: "0" });

// By partition key (consistent hashing)
const batch = await producer.createBatch({ partitionKey: "device-123" });

Receive Events (Simple)

const consumer = new EventHubConsumerClient("$Default", namespace, eventHubName, credential);

const subscription = consumer.subscribe({
  processEvents: async (events, context) => {
    for (const event of events) {
      console.log(`Partition: ${context.partitionId}, Body: ${JSON.stringify(event.body)}`);
    }
  },
  processError: async (err, context) => {
    console.error(`Error on partition ${context.partitionId}: ${err.message}`);
  },
});

// Stop after some time
setTimeout(async () => {
  await subscription.close();
  await consumer.close();
}, 60000);

Receive with Checkpointing (Production)

import { EventHubConsumerClient } from "@azure/event-hubs";
import { ContainerClient } from "@azure/storage-blob";
import { BlobCheckpointStore } from "@azure/eventhubs-checkpointstore-blob";

const containerClient = new ContainerClient(
  `https://${storageAccount}.blob.core.windows.net/${containerName}`,
  credential
);

const checkpointStore = new BlobCheckpointStore(containerClient);

const consumer = new EventHubConsumerClient(
  "$Default",
  namespace,
  eventHubName,
  credential,
  checkpointStore
);

const subscription = consumer.subscribe({
  processEvents: async (events, context) => {
    for (const event of events) {
      console.log(`Processing: ${JSON.stringify(event.body)}`);
    }
    // Checkpoint after processing batch
    if (events.length > 0) {
      await context.updateCheckpoint(events[events.length - 1]);
    }
  },
  processError: async (err, context) => {
    console.error(`Error: ${err.message}`);
  },
});

Receive from Specific Position

const subscription = consumer.subscribe({
  processEvents: async (events, context) => { /* ... */ },
  processError: async (err, context) => { /* ... */ },
}, {
  startPosition: {
    // Start from beginning
    "0": { offset: "@earliest" },
    // Start from end (new events only)
    "1": { offset: "@latest" },
    // Start from specific offset
    "2": { offset: "12345" },
    // Start from specific time
    "3": { enqueuedOn: new Date("2024-01-01") },
  },
});

Event Hub Properties

// Get hub info
const hubProperties = await producer.getEventHubProperties();
console.log(`Partitions: ${hubProperties.partitionIds}`);

// Get partition info
const partitionProperties = await producer.getPartitionProperties("0");
console.log(`Last sequence: ${partitionProperties.lastEnqueuedSequenceNumber}`);

Batch Processing Options

const subscription = consumer.subscribe(
  {
    processEvents: async (events, context) => { /* ... */ },
    processError: async (err, context) => { /* ... */ },
  },
  {
    maxBatchSize: 100,           // Max events per batch
    maxWaitTimeInSeconds: 30,    // Max wait for batch
  }
);

Key Types

import {
  EventHubProducerClient,
  EventHubConsumerClient,
  EventData,
  ReceivedEventData,
  PartitionContext,
  Subscription,
  SubscriptionEventHandlers,
  CreateBatchOptions,
  EventPosition,
} from "@azure/event-hubs";

import { BlobCheckpointStore } from "@azure/eventhubs-checkpointstore-blob";

Event Properties

// Send with properties
const batch = await producer.createBatch();
batch.tryAdd({
  body: { data: "payload" },
  properties: {
    eventType: "telemetry",
    deviceId: "sensor-1",
  },
  contentType: "application/json",
  correlationId: "request-123",
});

// Access in receiver
consumer.subscribe({
  processEvents: async (events, context) => {
    for (const event of events) {
      console.log(`Type: ${event.properties?.eventType}`);
      console.log(`Sequence: ${event.sequenceNumber}`);
      console.log(`Enqueued: ${event.enqueuedTimeUtc}`);
      console.log(`Offset: ${event.offset}`);
    }
  },
});

Error Handling

consumer.subscribe({
  processEvents: async (events, context) => {
    try {
      for (const event of events) {
        await processEvent(event);
      }
      await context.updateCheckpoint(events[events.length - 1]);
    } catch (error) {
      // Don't checkpoint on error - events will be reprocessed
      console.error("Processing failed:", error);
    }
  },
  processError: async (err, context) => {
    if (err.name === "MessagingError") {
      // Transient error - SDK will retry
      console.warn("Transient error:", err.message);
    } else {
      // Fatal error
      console.error("Fatal error:", err);
    }
  },
});

Best Practices

  1. Use checkpointing - Always checkpoint in production for exactly-once processing
  2. Batch sends - Use createBatch() for efficient sending
  3. Partition keys - Use partition keys to ensure ordering for related events
  4. Consumer groups - Use separate consumer groups for different processing pipelines
  5. Handle errors gracefully - Don't checkpoint on processing failures
  6. Close clients - Always close producer/consumer when done
  7. Monitor lag - Track lastEnqueuedSequenceNumber vs processed sequence

Related Skills

View on GitHub
GitHub Stars3.1k
CategoryData
Updated6d ago
Forks349

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions