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Bogdan Rancichi devrck

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devrck / nginx-tuning.md
Created December 8, 2018 21:14 — forked from denji/nginx-tuning.md
NGINX tuning for best performance

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.

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devrck / nginx.conf
Created December 7, 2018 07:48 — forked from plentz/nginx.conf
Best nginx configuration for improved security(and performance). Complete blog post here http://tautt.com/best-nginx-configuration-for-security/
# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048
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devrck / k8s-pi.md
Created November 29, 2018 10:05 — forked from alexellis/k8s-pi.md
K8s on Raspbian

Kubernetes on (vanilla) Raspbian Lite

Yes - you can create a Kubernetes cluster with Raspberry Pis with the default operating system called Raspbian. This means you can carry on using all the tools and packages you're used to with the officially-supported OS.

This is part of a blog post Serverless Kubernetes home-lab with your Raspberry Pis written by Alex Ellis.

Copyright disclaimer: Please provide a link to the post and give attribution to the author if you plan to use this content in your own materials.

Pre-reqs:

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devrck / array-validation-error-mapping.php
Created October 14, 2018 14:36 — forked from webmozart/array-validation-error-mapping.php
A little experiment: Validating (potentially multi-leveled) arrays with the Symfony2 Validator component and returning the errors in the same data structure as the validated array by using the Symfony2 PropertyAccess component.
<?php
use Symfony\Component\PropertyAccess\PropertyAccess;
use Symfony\Component\Validator\Constraints\All;
use Symfony\Component\Validator\Constraints\Choice;
use Symfony\Component\Validator\Constraints\Collection;
use Symfony\Component\Validator\Constraints\Length;
use Symfony\Component\Validator\Constraints\NotBlank;
use Symfony\Component\Validator\Constraints\Optional;
use Symfony\Component\Validator\Constraints\Required;

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.