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    <title>Serialization on Pi Stack</title>
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      <title>Self-Hosted Binary Serialization Frameworks: bincode vs borsh vs postcard vs rkyv</title>
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      <description>&lt;h2 id=&#34;why-binary-serialization-matters-for-self-hosted-services&#34;&gt;Why Binary Serialization Matters for Self-Hosted Services&lt;/h2&gt;&#xA;&lt;p&gt;When building self-hosted backend services, the format you choose for data serialization directly impacts three critical metrics: throughput, latency, and memory usage. Text-based formats like JSON and YAML are human-readable but incur significant parsing overhead — every number must be parsed from decimal strings, every string must be escaped and unescaped, and the entire document must be scanned linearly. Binary serialization formats eliminate this overhead by encoding data directly in its machine representation.&lt;/p&gt;</description>
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      <title>Self-Hosted JSON Parser Libraries: simdjson vs rapidjson vs orjson vs UltraJSON</title>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;JSON (JavaScript Object Notation) is the backbone of modern web applications, APIs, and configuration files. Every self-hosted service you deploy — whether it is an API gateway, a monitoring dashboard, or a message queue — processes JSON somewhere in its pipeline. The choice of JSON parsing library directly impacts throughput, latency, and CPU utilization of your entire stack.&lt;/p&gt;</description>
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