Of course, the glue code also has runtime costs. JavaScript objects must be allocated and garbage collected, strings must be re-encoded, structs must be deserialized. Some of this cost is inherent to any bindings system, but much of it is not. This is a pervasive cost that you pay at the boundary between JavaScript and WebAssembly, even when the calls themselves are fast.
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In December I wrote about package managers using git as a database, and how Cargo’s index, Homebrew’s taps, Go’s module proxy, and CocoaPods’ Specs repo all hit the same wall once their access patterns outgrew what a git repo is designed for.
Under load, this creates GC pressure that can devastate throughput. The JavaScript engine spends significant time collecting short-lived objects instead of doing useful work. Latency becomes unpredictable as GC pauses interrupt request handling. I've seen SSR workloads where garbage collection accounts for a substantial portion (up to and beyond 50%) of total CPU time per request — time that could be spent actually rendering content.
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