Justified Code/Competing Consumers Pattern

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Competing Consumers Pattern

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By applying distributed processing, you can scale consumers out or in based on queue depth, even down to zero when idle. Consumers are treated as replicas. If one instance fails, others continue processing messages, ensuring your system remains available under stress.

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Modern applications must handle unpredictable workloads.

System Design Diagrams

To give you an idea on what you will learn, i am listing some of the diagrams taken from the guide.

The Problem: Synchronous Processing

The simplest model is request-response. The application calls a service, waits for it to finish, and then continues.

Decoupling with Queues

Instead of direct calls, the application sends requests to a queue. The consuming service processes messages from the queue at its own pace.

Competing Consumers Pattern

To handle high load, you add more consumers. Each consumer pulls from the same queue. They “compete” for messages, so no single instance becomes a bottleneck.

Azure Service Bus

Service Bus with Azure Functions are a direct implementation of this pattern.

Contents

PDF Files

Competing Consumers Pattern V1.1.pdf
  • 4.41 MB