This repository demonstrates how to profile, optimize and benchmark a given problematic Go code for study purposes.
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This repository provides a hands-on study of performance optimization techniques for Go applications, using an event processing system as a practical example. It demonstrates measurable improvements—achieving a 5.35x speedup and 3x reduction in memory allocations—through strategies like string pooling and streaming JSON. The project is designed for Go developers looking to learn systematic profiling, benchmarking, and optimization.
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