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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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compiler
an incomplete toy barebones compiler backend for amd64 x86_64 in Python and an incomplete JIT compiler written in C (by samsquire)
It looks more like some of the JIT improvements made it profitable to manually unroll some loops in the base64 module: https://github.com/erlang/otp/commit/a03cf1601605dee767cd9d5...
This is interesting, thank you.
I really should learn from BEAM and the OTP and learn Erlang. I get the feeling it's super robust and reliable and low maintenance. I wrote a userspace multithreaded scheduler which distributes N lightweight threads to M kernel threads.
https://github.com/samsquire/preemptible-thread
I recently wrote a JIT compiler and got lazy compilation of machine code working and I'm nowhere near beginning optimisation
https://github.com/samsquire/compiler
How do you write robust software, that doesn't crash when something unexpected goes on?
I looked at sozo https://github.com/sozu-proxy/sozu
and I'm thinking how to create something that just stays up and running regardless.
This is interesting, thank you.
I really should learn from BEAM and the OTP and learn Erlang. I get the feeling it's super robust and reliable and low maintenance. I wrote a userspace multithreaded scheduler which distributes N lightweight threads to M kernel threads.
https://github.com/samsquire/preemptible-thread
I recently wrote a JIT compiler and got lazy compilation of machine code working and I'm nowhere near beginning optimisation
https://github.com/samsquire/compiler
How do you write robust software, that doesn't crash when something unexpected goes on?
I looked at sozo https://github.com/sozu-proxy/sozu
and I'm thinking how to create something that just stays up and running regardless.
This is interesting, thank you.
I really should learn from BEAM and the OTP and learn Erlang. I get the feeling it's super robust and reliable and low maintenance. I wrote a userspace multithreaded scheduler which distributes N lightweight threads to M kernel threads.
https://github.com/samsquire/preemptible-thread
I recently wrote a JIT compiler and got lazy compilation of machine code working and I'm nowhere near beginning optimisation
https://github.com/samsquire/compiler
How do you write robust software, that doesn't crash when something unexpected goes on?
I looked at sozo https://github.com/sozu-proxy/sozu
and I'm thinking how to create something that just stays up and running regardless.
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