MG xr09

Nginx FastCGI response buffer sizes

By default when Nginx starts receiving a response from a FastCGI backend (such as PHP-FPM) it will buffer the response in memory before delivering it to the client. Any response larger than the set buffer size is saved to a temporary file on disk. This process is outlined at the Nginx ngx_http_fastcgi_module page document page.

Introduction
Determine actual FastCGI response sizes
Setting the buffer size
Verifying results

Introduction

Since disk is slow and memory is fast the aim is to get as many FastCGI responses passing through memory only. On the flip side we don't want to set an excessively large buffer as they are created and sized on a per request basis (i.e. it's not shared memory).

Context managers

In Python, a context manager is an object that can be used in a with statement. Here's a context manager that reports the total wall-clock time spent inside a with block:

import time

class Timer(object):
    def __init__(self, msg):
        self._msg = msg

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

"Build tools for others that you want to be built for you." - Kenneth Reitz
"Simplicity is alway better than functionality." - Pieter Hintjens

generate urls

python3 alpine.py > urls

feed urls to aria2c

aria2c -d main/x86_64/ -i urls

	# append this to /var/opt/gitlab/nginx/conf/gitlab-http.conf

	location ~ ^/(uploads)/ {
	expires max;
	add_header Cache-Control public;
	}

	from sandpiper import Domain

	# credenciales del dominio windows
	windows_config = {
	'uri': "192.168.1.10",
	'dn': "OU=dominio,DC=hlg,DC=emp,DC=cu",
	'user': 'winuser',
	'password': 'qwerty',
	}

	import logging
	import shelve

	import requests


	_HEADERS = {'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) '
	'AppleWebKit/537.36 (KHTML, like Gecko) '
	'Chrome/53.0.2785.143 Safari/537.36'}
	_TIMEOUT = 5


	import csv
	import datetime
	import subprocess
	import logging
	from concurrent.futures import ThreadPoolExecutor


	WORKERS_FILE = 'workers.csv'

	[
	{
	"target": "buster",
	"vulnerabilities": [
	{
	"package": {
	"name": "firefox",
	"version": "68",
	"format": "rpm"
	},