When a Memory Pool Actually Helps in Go Logging
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When you build a high-throughput log pipeline in Go, the garbage collector quickly becomes one of your biggest bottlenecks. Every log line means new allocations: buffers, temporary structs, parsed JSON trees, and so on. At some point, you start wondering: is it time to use a memory pool? In this post I’ll walk through a simple pattern using sync.Pool and explain when it is (and is not) a good idea for log pre-processing. The basic pattern For log processing, the most common thing to