Kotlin/Native Memory Model and GC Tuning for High-Throughput KMP Server Applications
Fine-tuning of Kotlin/Native memory model and garbage collector dramatically reduces tail latency (P99) on high-throughput servers.
Published 11sem1 sourceupdated 11sem
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The fact
This technique combines advanced GC tuning, allocation management, and leveraging KMP's multiplatform capabilities.
Results show 50% performance improvement on critical server use cases.
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