alexellis

This guide has moved to a GitHub repository to enable collaboration and community input via pull-requests.

https://github.com/alexellis/k8s-on-raspbian

Alex

vsouza

# Set variables in .bashrc file

# don't forget to change your path correctly!

export GOPATH=$HOME/golang
export GOROOT=/usr/local/opt/go/libexec
export PATH=$PATH:$GOPATH/bin
export PATH=$PATH:$GOROOT/bin

xeoncross

<?php
/**
 * Make asynchronous requests to different resources as fast as possible and process the results as they are ready.
 */
class Requests
{
	public $handle;

	public function __construct()
	{

ludoo

"""
From http://harkablog.com/inside-the-django-orm-aggregates.html
with a couple of fixes.

Usage: MyModel.objects.all().annotate(new_attribute=Concat('related__attribute', separator=':')
"""

from django.db.models import Aggregate
from django.db.models.sql.aggregates import Aggregate as SQLAggregate

ciaranmcnulty

Docker for Mac

On M1 machines, Docker for Mac is running a lightweight linux ARM VM, then running containers within that, so containers are essentially running natively. Don't be fooled by the fact the UI or binary CLI tools (e.g. docker) might require Rosetta.

Within that VM is an emulation layer called QEmu. This can be used by docker to run Intel containers. This does not use Rosetta at all, and has a roughly 5-6X performance penalty. (If you just upgraded your CPU this may result in a similar performance to your old machine!)

Pulling and running with Docker

Many images in public registries are multi-architecture. For instance at the time of writing on Docker Hub the php:8.0-cli image has the following digests:

QuantumGhost

@startuml
' uncomment the line below if you're using computer with a retina display
' skinparam dpi 300
!define Table(name,desc) class name as "desc" << (T,#FFAAAA) >>
' we use bold for primary key
' green color for unique
' and underscore for not_null
!define primary_key(x) <b>x</b>
!define unique(x) <color:green>x</color>
!define not_null(x) <u>x</u>

cheynewallace

# Usage:  powershell ExportSchema.ps1 "SERVERNAME" "DATABASE" "C:\<YourOutputPath>"


# Start Script
Set-ExecutionPolicy RemoteSigned

# Set-ExecutionPolicy -ExecutionPolicy:Unrestricted -Scope:LocalMachine
function GenerateDBScript([string]$serverName, [string]$dbname, [string]$scriptpath)
{
  [System.Reflection.Assembly]::LoadWithPartialName("Microsoft.SqlServer.SMO") | Out-Null

jessfraz

Freezer cgroup FTW

In a terminal start a server.

$ python -m SimpleHTTPServer 8000

In another terminal set up the cgroups freezer.

AlexNDRmac

Multiple PHP versions using phpenv and php-build

Install dependecies

Debian/Ubuntu users

sudo apt install \
  autoconf \
 bison \

Savelenko

module GADTMotivation

(*
Here is a simple motivational example for GADTs and their usefulness for library design and domain modeling. Suppose we
need to work with settings which can be displayed and adjusted in a GUI. The set of possible setting "types" is fixed
and known in advance: integers, strings and booleans (check-boxes).
The GUI should show an example value for each possible setting type, e.g. 1337 for an integer setting and "Hello" for a
string setting. How can we model this small domain of setting types and computing example values?
*)