Understanding thread stack sizes and how alpine is different

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  • cargo-call-stack

    Whole program static stack analysis

  • Not easy at all.

    I know that in the small-embedded world, people do work on such things.

    Eg https://github.com/japaric/cargo-call-stack

  • muslstack

    Binary patch utility to set default thread stack size for musl libc

  • https://github.com/yaegashi/muslstack seems to indicate the limit is coming from musl (the libc) rather than Alpine, which may legitimately have a hope of running on small platforms.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • zig

    General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

  • this is too reductive. Usually stack space is faster because you will have fewer cache misses.

    future languages will be able to suss this out at compile-time: https://github.com/ziglang/zig/blob/2ac769eab9b7dba4cd38e5de...

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