Learn how to avoid delays and failure caused by JSON deserialization of large requests.

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Hi, I’m Zoran, I have more than 25 years of experience as a software developer, architect, team lead, and more. I have been programming in C# since its inception in the early 2000s. Since 2017 I have started publishing professional video courses at Pluralsight and Udemy and by this point, there are over 100 hours of the highest-quality videos you can watch on those platforms. On my YouTube channel, you can find shorter video forms focused on clarifying practical issues in coding, design, and architecture of .NET applications.❤️
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Zoran Horvat

When API endpoints receive large JSON arrays under high concurrent load, traditional deserialization can cause memory spikes and server unresponsiveness. Using streaming JSON deserialization with DeserializeAsyncEnumerable allows processing individual array elements as they arrive, reducing memory consumption by 20x and response time by 4x during traffic spikes, while maintaining similar performance under normal loads.

Improve API Responsiveness With Streaming JSON Deserialization