Event-driven architecture in Azure uses asynchronous communication to decouple services and improve scalability. By introducing Azure Service Bus and Azure Event Grid between applications, you avoid direct, synchronous calls that can create bottlenecks. This design follows patterns such as the Queue-Based Load Leveling pattern and the Publisher-Subscriber pattern to handle bursts of traffic and broadcast messages to multiple consumers. The result is a resilient system where services can evolve independently.
When choosing between Azure Event Grid, Event Hubs, and Service Bus, consider the delivery model and event volume:
A concept map comparing Azure Event Grid, Event Hubs, and Service Bus based on their ideal use cases and key features.
Designing end-to-end pipelines requires clear event definitions and reliable processing. Start by defining event schemas that specify message properties and payload formats. Then configure triggers in Azure Functions or Logic Apps to respond to incoming events or messages. Implement these key features to ensure consistency and performance:
For Service Bus integrations, choose the appropriate delivery model:
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Event Grid is ideal for lightweight, serverless event routing with publish-subscribe support and minimal setup. Event Hubs handles high-throughput telemetry and streaming scenarios with partitioned logs. Service Bus offers enterprise messaging features like ordered delivery, duplicate detection, and transactional support.
Use Event Grid for reactive workflows that require lightweight, serverless event routing with publish-subscribe support. Use Event Hubs for big data ingestion and high-throughput telemetry streaming scenarios that require partitioned logs.
The pull model uses continuous polling by the receiver, which simplifies architecture but may increase resource use. The proxied push model leverages Event Grid to notify receivers, reducing polling overhead and improving near-real-time processing.
Implement retry policies to handle transient failures, dead-lettering to capture failed or malformed messages, and telemetry to track event flow, processing times, and errors.