Build releases as musl-only #16
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ABQ queues can suffer high memory utilization when there are a high number of concurrent requests, which have large payload sizes, presumably due to the ephemeral nature of allocations and increased heap fragmentation. The best behavior for a synthetic, but pathological workload appears to be with a statically-linked musl build, using the default musl allocator. - [glibc allocator](https://app.datadoghq.com/dashboard/hhb-h26-vmw/abq-queue-monitors?tpl_var_host%5B0%5D=i-06d18347d4cbf8dda&from_ts=1680718736220&to_ts=1680721268896&live=false) - [jemalloc debug allocator](https://app.datadoghq.com/dashboard/hhb-h26-vmw/abq-queue-monitors?index=&tpl_var_host%5B0%5D=i-0bd039fafb3930233&from_ts=1680717778542&to_ts=1680720455725&live=false) - [jemalloc](https://app.datadoghq.com/dashboard/hhb-h26-vmw/abq-queue-monitors?index=&tpl_var_host%5B0%5D=i-08960f6a8c02daa9e&from_ts=1680722402333&to_ts=1680723596417&live=false) - [mimalloc allocator](https://app.datadoghq.com/dashboard/hhb-h26-vmw/abq-queue-monitors?index=&tpl_var_host%5B0%5D=i-016e1dc9cf6d8d02b&from_ts=1680723024490&to_ts=1680724203364&live=false)
TAGraves
approved these changes
Apr 5, 2023
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ABQ queues can suffer high memory utilization when there are a high number of concurrent requests, which have large payload sizes, presumably due to the ephemeral nature of allocations and increased heap fragmentation. The best behavior for a synthetic, but pathological workload appears to be with a statically-linked musl build, using the default musl allocator.