Serializing Objects and Collections

Serialization might not sound flashy—but make no mistake, it’s one of the core pillars of modern .NET applications. If your code talks to APIs, stores data, or moves information across systems (and it does), serialization is happening everywhere—whether you’re thinking about it or not.

At its core, serialization is about transforming your objects into formats like JSON so they can be stored, transmitted, and reconstructed later. But here’s the kicker: how you design and serialize those objects has a direct impact on performance, memory usage, and scalability.

This page dives into real-world, performance-focused serialization techniques—from JSON and XML to efficiently handling collections and custom types. You’ll see where the hidden costs are, how serialization choices affect your application, and why benchmarking your models isn’t optional—it’s essential.

No fluff. No guesswork. Just practical, benchmark-driven guidance to help you move data faster, cleaner, and more efficiently.

Bottom line: serialization is the backbone of data movement in .NET. Master it, and your apps scale like a headliner on a world tour. Ignore it, and you’ll be stuck debugging bottlenecks in the opening act.

Serializing Objects: JSON Serialization

Serializing Objects Performance: XML Serialization

Serializing Objects: Efficient Serialization and Deserialization of Collections with JsonSerializer

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