Anthony Oliver xamox

Yo dawg, I heard you like port-fowards so I'm going to port-forward your port-forward.

Say you want to test something like maybe run something in minikube locally but connect to something running in the kube cluster.

Do your kube port foward

kubectl --context k8s-uw1-gcp port-forward prometheus-prometheus-server-7b6f9d99f8-m4vt6 9090

This guide was originally taken from: https://gist.github.com/mattiaslundberg/8620837 and updated to markdown as well as adding desktop and wireless setup

Download the archiso image from https://www.archlinux.org/ Use etcher to create USB drive: https://etcher.io/

I hereby claim:

To claim this, I am signing this object:

	#!/usr/bin/env python
	import elasticsearch
	import elasticsearch.helpers
	elasticSource = elasticsearch.Elasticsearch([{"host": "localhost", "port": 9200}])
	elasticDestination = elasticsearch.Elasticsearch([{"host": "localhost", "port": 9200}])
	# Setup source and destinations connection to Elasticsearch. Could have been different clusters
	# Delete index so we know it doesn't exist.
	elasticDestination.indices.delete(index="index_destination", ignore=[400, 404])
	# Create index with nothing in it.
	elasticDestination.indices.create(index="index_source", ignore=[400, 404])

	from SimpleCV import *
	cam = Camera()

	while True:
	img = cam.getImage().flipHorizontal()
	dist = img.colorDistance(Color.BLACK).dilate(2)
	segmented = dist.stretch(200,255)
	blobs = segmented.findBlobs()
	if blobs:
	circles = blobs.filter([b.isCircle(0.2) for b in blobs])

	'''
	This is how to track a white ball example using SimpleCV

	The parameters may need to be adjusted to match the RGB color
	of your object.

	The demo video can be found at:
	http://www.youtube.com/watch?v=jihxqg3kr-g
	'''
	print __doc__

	class AutoVivification(dict):
	"""
	Implementation of perl's autovivification feature.

	>>> a = AutoVivification()
	>>> a[1][2][3] = 4
	>>> a[1][3][3] = 5
	>>> a[1][2]['test'] = 6
	>>> print a
	>>> {1: {2: {'test': 6, 3: 4}, 3: {3: 5}}}