Ruan Bekker ruanbekker

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.

Rancher cluster on k3os

Goal

Install rancher on k3os with centralized datastore on mysql cluster.

Environment

Host: Ubuntu 18.04.4 Desktop (32gb ram 4 cpu)
Virtualisation: kvm/qemu (virtual machine manager)
Local network: 192.168.0.0/16
- Gateway: 192.168.0.1

Safest way to clean up boot partition - Ubuntu 14.04LTS-x64, Ubuntu 16.04LTS-x64

Reference

Case I: if /boot is not 100% full and apt is working

1. Check the current kernel version

$ uname -r

	<!doctype html>
	<title>Site Maintenance</title>
	<style>
	body { text-align: center; padding: 150px; }
	h1 { font-size: 50px; }
	body { font: 20px Helvetica, sans-serif; color: #333; }
	article { display: block; text-align: left; width: 650px; margin: 0 auto; }
	a { color: #dc8100; text-decoration: none; }
	a:hover { color: #333; text-decoration: none; }
	</style>

	import socket


	def find_open_port():
	"""
	Use socket's built in ability to find an open port.

	"""
	sock = socket.socket()
	sock.bind(('', 0))

	########################################################
	# How To Auto-Scale Kubernetes Clusters With Karpenter #
	# https://youtu.be/C-2v7HT-uSA #
	########################################################

	# Referenced videos:
	# - GKE Autopilot - Fully Managed Kubernetes Service From Google: https://youtu.be/Zztufl4mFQ4

	#########
	# Setup #

	{
	"Version": "2012-10-17",
	"Statement": [
	{
	"Action": "sts:AssumeRole",
	"Principal": {
	"Service": "ec2.amazonaws.com"
	},
	"Effect": "Allow",
	"Sid": ""

	version: '3.4'

	secrets:

	# Find your registration token at: "Your project" > "Settings" > "CI/CD" > "Runners settings" > "Specific Runners" (look for registration token)
	# Register it as `GITLAB_REGISTRATION_TOKEN`: `docker secret create GITLAB_REGISTRATION_TOKEN YOUR_REGISTRATION_TOKEN`
	GITLAB_REGISTRATION_TOKEN:
	external: true
	# Find your personal access token at: "Your user account" > "Settings" > "Access Tokens" > "Create personal access token" (for api)
	# Register it as `GITLAB_PERSONAL_ACCESS_TOKEN`: `docker secret create GITLAB_PERSONAL_ACCESS_TOKEN <YOUR ACCESS TOKEN>`

	ssh-keygen -t rsa -b 4096 -N '' -C "[email protected]" -f ~/.ssh/id_rsa
	ssh-keygen -t rsa -b 4096 -N '' -C "[email protected]" -f ~/.ssh/github_rsa
	ssh-keygen -t rsa -b 4096 -N '' -C "[email protected]" -f ~/.ssh/mozilla_rsa

	package main

	import (
	"bytes"
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/s3"
	)