jcrist

"""A quick benchmark comparing the performance of:

- msgspec: https://github.com/jcrist/msgspec
- pydantic V1: https://docs.pydantic.dev/1.10/
- pydantic V2: https://docs.pydantic.dev/dev-v2/

The benchmark is modified from the one in the msgspec repo here:
https://github.com/jcrist/msgspec/blob/main/benchmarks/bench_validation.py

I make no claims that it's illustrative of all use cases. I wrote this up

kgriffs

function string:contains(sub)
    return self:find(sub, 1, true) ~= nil
end

function string:startswith(start)
    return self:sub(1, #start) == start
end

function string:endswith(ending)

kmatarese

"""WARNING: not thoroughly tested and does not support full translation
between the two libraries.

Uses a pydantic root_validator to init the marshmallow schema. It attempts
to map marshmallow field types to pydantic field types as well, but not all
field types are supported.

You can either use the pydantic_from_marshmallow function that does all of
the above or just subclass MarshmallowModel and manually define your pydantic
fields/types/etc.

vanushwashere

Systemd unit file for supervisord service

• place this config in /etc/systemd/system/supervisord.service
• kill all supervisord processes
• sudo systemctl daemon-reload
• sudo systemctl enable supervisord
• start with sudo systemctl start supervisord if already not started

alces

• using Ansible command line:

ansible-playbook --connection=local 127.0.0.1 playbook.yml

• using inventory:

127.0.0.1 ansible_connection=local

denji

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.