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- How To Achieve Decoupled Distribution Using Microsoft Azure Asynchronous Messaging At Scale
How to achieve decoupled distribution using Microsoft Azure: Asynchronous messaging at scale
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Modern microservices and event-driven architectures demand communication patterns that reduce coupling while remaining reliable and scalable. Direct service-to-service calls often introduce tight dependencies, limit scalability, and increase the risk of cascading failures. Asynchronous messaging offers a practical alternative by allowing systems to communicate without blocking, while processing messages independently and at their own pace.
This ebook explains how to implement a one-to-many, decoupled message distribution pattern on Microsoft Azure. Using a realistic employee onboarding use case, it walks through how Azure integration services can be combined to distribute events and messages reliably across multiple recipient services, without requiring them to know about each other.
You will explore how Azure Event Grid enables event-driven triggers, how Azure Service Bus ensures durable and controlled message delivery, how Azure Logic Apps orchestrate workflows, and how Azure API Management provides a secure entry point for external consumers. The guide focuses on practical implementation, architectural reasoning, and reusable patterns that can be applied to real production environments.
In this ebook, you will learn:
- How Azure supports decoupled communication using native integration services
- A practical use case and architecture overview for one-to-many message distribution
- How to use Event Grid to publish and subscribe to events at scale
- How to use Service Bus topics and subscriptions for reliable message delivery
- How to build a dispatcher service with Logic Apps
- How to expose workflows securely through API Management
- How recipient services retrieve, process, and complete messages
- How to extend the solution to support multiple consumers
By the end of this ebook, you will have a clear understanding of how to design and implement a scalable, fault-tolerant, and loosely coupled distribution pattern on Azure that fits naturally into microservices and event-driven systems.
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