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Justified Code/Claim-Check Pattern

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Handing your large payload to external storage is like leaving your luggage at the airport and keeping the claim ticket to retrieve it later.

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Claim-Check Pattern

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Messaging systems are great at handling a flood of tiny messages. But the moment you push a large message through them, you pay the price. Messaging systems often charge a premium for larger message sizes. By reducing payload size in the bus, you can use cheaper tiers. Plus, smaller messages mean quicker consumers.

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Big messages make your system slow & expensive.

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

Traditional messaging systems were never designed to move big blobs of data. Pushing large messages through them causes several issues: Message size limits, and system slowdown

The Solution

The messaging system itself never touches the large payload, staying lean and fast.

Things To Consider

The Claim-Check Pattern is powerful, but the devils is in the details.

Azure Service Bus Premium (the expensive way)

Sending large payloads directly can cost hundreds of dollars per month even when traffic is low.

Azure Serverless Way

Payloads are offloaded to Blob Storage. Events are forwarded by Event Grid to Azure Service Bus, while Azure Functions pick them up on demand. The result: costs drop dramatically.

AWS SQS Extended Client SDK

With Amazon SQS, large payloads are seamlessly offloaded to S3. Consumers handle claim checks, unaware that S3 is involved.

Contents

PDF Files

Claim-Check Pattern V1.1.pdf
  • 4.95 MB