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Azure Integration Services

Integration patterns

Proven patterns for reliable, scalable integrations, applied with Azure services rather than custom plumbing.

Enterprise integration patterns

I implement well-established integration patterns for reliable, scalable architectures:

Event-driven architecture

Event sourcing pattern

Store application state as a sequence of events. Benefits include:

  • Complete audit trail of all state changes
  • Ability to rebuild state by replaying events
  • Temporal queries (view state at any point in time)
  • Support for event-driven microservices

Implementation: Event Hubs for ingestion, Event Grid for routing, Cosmos DB for event store

CQRS (command query responsibility segregation)

Separate read and write operations for optimized performance:

  • Write model optimized for consistency and validation
  • Read models denormalized for query performance
  • Independent scaling of read and write workloads
  • Different data stores for commands and queries

Implementation: Service Bus for commands, Event Grid for synchronization, SQL/Cosmos for read models

Saga pattern for distributed transactions

Manage long-running business processes across multiple services:

  • Choreography: Services publish events and react to events from others
  • Orchestration: Central coordinator manages saga execution
  • Compensation: Undo completed steps if saga fails
  • Eventual consistency across distributed systems

Implementation: Durable Functions for orchestration, Service Bus for reliable messaging

A saga in action

When one step of a multi-system process fails, the steps that already completed are undone in reverse order, so no system is left half-updated.

An order saga with compensation

Durable Functions orchestratororder #4471

Create order

Order API

Reserve stock

Inventory

Charge payment

Payments

Book shipment

Carrier

Illustrative example
Each service commits its own step; when the carrier refuses, the orchestrator refunds the payment, releases the stock and cancels the order, in that order.

Messaging patterns

  • Request-reply: Synchronous communication with response correlation
  • Publish-subscribe: One-to-many message distribution with topics
  • Competing consumers: Multiple workers processing messages from a queue
  • Message routing: Content-based routing with filters and subscriptions
  • Priority queue: Process high-priority messages first
  • Claim check: Store large payloads externally, pass reference in message

Ready to modernize your integration architecture?

Let's discuss how Azure Integration Services can connect your applications, data, and processes for seamless digital transformation.