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azure-eventhub-rust

Azure Event Hubs SDK for Rust. Use for sending and receiving events, streaming data ingestion.

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SKILL.md

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Azure Event Hubs SDK for Rust

Client library for Azure Event Hubs — big data streaming platform and event ingestion service.

Installation

cargo add azure_messaging_eventhubs azure_identity

Environment Variables

EVENTHUBS_HOST=<namespace>.servicebus.windows.net
EVENTHUB_NAME=<eventhub-name>

Key Concepts

  • Namespace — container for Event Hubs
  • Event Hub — stream of events partitioned for parallel processing
  • Partition — ordered sequence of events
  • Producer — sends events to Event Hub
  • Consumer — receives events from partitions

Producer Client

Create Producer

use azure_identity::DeveloperToolsCredential;
use azure_messaging_eventhubs::ProducerClient;

let credential = DeveloperToolsCredential::new(None)?;
let producer = ProducerClient::builder()
    .open("<namespace>.servicebus.windows.net", "eventhub-name", credential.clone())
    .await?;

Send Single Event

producer.send_event(vec![1, 2, 3, 4], None).await?;

Send Batch

let batch = producer.create_batch(None).await?;
batch.try_add_event_data(b"event 1".to_vec(), None)?;
batch.try_add_event_data(b"event 2".to_vec(), None)?;

producer.send_batch(batch, None).await?;

Consumer Client

Create Consumer

use azure_messaging_eventhubs::ConsumerClient;

let credential = DeveloperToolsCredential::new(None)?;
let consumer = ConsumerClient::builder()
    .open("<namespace>.servicebus.windows.net", "eventhub-name", credential.clone())
    .await?;

Receive Events

// Open receiver for specific partition
let receiver = consumer.open_partition_receiver("0", None).await?;

// Receive events
let events = receiver.receive_events(100, None).await?;
for event in events {
    println!("Event data: {:?}", event.body());
}

Get Event Hub Properties

let properties = consumer.get_eventhub_properties(None).await?;
println!("Partitions: {:?}", properties.partition_ids);

Get Partition Properties

let partition_props = consumer.get_partition_properties("0", None).await?;
println!("Last sequence number: {}", partition_props.last_enqueued_sequence_number);

Best Practices

  1. Reuse clients — create once, send many events
  2. Use batches — more efficient than individual sends
  3. Check batch capacity — try_add_event_data returns false when full
  4. Process partitions in parallel — each partition can be consumed independently
  5. Use consumer groups — isolate different consuming applications
  6. Handle checkpointing — use azure_messaging_eventhubs_checkpointstore_blob for distributed consumers

Checkpoint Store (Optional)

For distributed consumers with checkpointing:

cargo add azure_messaging_eventhubs_checkpointstore_blob

Reference Links

When to Use

This skill is applicable to execute the workflow or actions described in the overview.


<!-- AGI-INTEGRATION-START -->

AGI Framework Integration

Adapted for @techwavedev/​agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior deployment configurations, rollback procedures, and incident post-mortems. Avoid re-discovering infrastructure patterns.

# Check for prior infrastructure context before starting
python3 execution/​memory_manager.py auto --query "deployment configuration and patterns for Azure Eventhub Rust"

Storing Results

After completing work, store infrastructure decisions for future sessions:

python3 execution/​memory_manager.py store \
  --content "Deployment pipeline: configured blue-green deployment with health checks on port 8080" \
  --type technical --project <project> \
  --tags azure-eventhub-rust devops

Multi-Agent Collaboration

Broadcast deployment changes so frontend and backend agents update their configurations accordingly.

python3 execution/​cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Deployed infrastructure changes — updated CI/​CD pipeline with new health check endpoints" \
  --project <project>

Playbook Integration

Use the ship-saas-mvp or full-stack-deploy playbook to sequence this skill with testing, documentation, and deployment verification.

<!-- AGI-INTEGRATION-END -->