Matthias Rueedlinger rueedlinger

Pulumni with MinIO

Notes for using Pulumni and store the deployed state to MinIO (s3)

Start MinIO, log in with minioadmin:minioadmin and create the bucket my-bucket.

docker run -p 9000:9000 -p 9001:9001 quay.io/minio/minio server /data --console-address ":9001"

	#!/bin/bash

	USER=rueedlinger
	REPO=autoencoder-tf
	NBVIEWER_LINK="https://nbviewer.jupyter.org/github/$USER/$REPO/blob/master"

	quit() {
	echo "Quit export notebook script!"
	exit 1
	}

	#!/bin/bash

	DIR_NOTEBOOKS="notebooks"
	FORMAT="markdown"

	NBVIEWER_LINK="https://nbviewer.jupyter.org/github/rueedlinger/machine-learning-snippets/blob/master"

	quit() {
	echo "quit export notebook script!"
	exit 1

	name: Build and Publish Hugo Site (MASTER)
	on:
	push:
	branches:
	- master
	jobs:
	build:
	name: Publish Hugo Site (MASTER)
	runs-on: ubuntu-latest
	steps:

	import sys
	import os
	import json
	import argparse

	PYTHON_MAJOR_VERSION = sys.version_info.major
	DEFAULT_HOST = 'localhost'
	DEFAULT_PORT = '8083'
	BASE_PATH = '/connectors'

	import numpy as np

	n = list(range(1, 43))
	g = list(range(1, 7))

	for i in range(1,15):
	l = sorted(np.random.choice(n, 6, replace=False))
	print(i, '-> ', l , " - ", np.random.choice(g,1))

	Import-Module ActiveDirectory
	$ADSearchBase = "OU=Employees,OU=Users,OU=XYZ,DC=ads,DC=XYZ,DC=com"
	$OutFile = "C:\tmp\ad_export.csv"
	Get-ADUser -filter * -properties GivenName,Surname,CN,Title,Department,Country,City,EmailAddress,whenCreated -SearchBase $ADSearchBase \| select GivenName,Surname,CN,Title,Department,Country,City,EmailAddress,whenCreated \| Export-Csv $OutFile -NoTypeInformation -Encoding "UTF8"

	#!/bin/bash
	fswebcam -r 800x600 input.jpg