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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
The ram Julia uses at startup comes mainly from 3 places. 1. OpenBLAS buffers (this is the biggest by a bunch). Julia allocates a bunch of memory to make matrix multiplication faster. It would be possible (and smart) to deffer this allocation until the user asks to do a large matrix multiplication, (this would be a great PR). 2. LLVM. Julia keeps a compiler in ram so that it can generate code for new method instances. As of 1.8, https://github.com/JuliaLang/julia/pull/41936 will allow Julia to have a much lower memory footprint if you have a sysimage and don't need to define new methods 3. Docs. Julia stores all the docs for every function in ram so you can look up help strings. This could be loaded more lazily.