Matt Johnson metahertz

#Debug Data [node3 /]$ tcpdump -n -vv -i any udp port 53 tcpdump: listening on any, link-type LINUX_SLL (Linux cooked), capture size 65535 bytes

REQUESTS: {functions_provider_url}.default.svc.cluster.local

Should work for Default K8S deployment based on value of faas-netesd. but will fail on faas-netesd.more.of.anything as seen below. 4x A's 4x AAAA's all within .1 of a second. Current total (within a second: 8 requests)

Keybase proof

I hereby claim:

I am matjohn2 on github.
I am mattkj (https://keybase.io/mattkj) on keybase.
I have a public key ASDVLUSgONY9HwYHLu8zKjp1GLiYoRDjUGa4m_xmLaHzfgo

To claim this, I am signing this object:

	# $OpenBSD: sshd_config,v 1.101 2017/03/14 07:19:07 djm Exp $

	Port 22
	ListenAddress 0.0.0.0
	#ListenAddress ::


	# Ciphers and keying
	#RekeyLimit default none

	from tkinter import *
	import time
	import sys
	from threading import Thread
	import paho.mqtt.client as mqtt
	import json

	# The PAHO-MQTT library callback for when a PUBLISH message is received from the server.
	def on_message(client, userdata, msg):
	#We could do things here when messages arrive on watchdogControlQueue (LC_MGMT/mgmt-$hackerDesk)

	import paramiko
	from pebble import concurrent
	from concurrent.futures import TimeoutError

	while not deviceTests_is_desktop_on_wifi_flag:
	print("Waiting for desk %s to complete challenge 1 - Connect to WiFi" % ourHackerDeskNumber)

	trySSHConnection = deviceTests_is_desktop_on_wifi(ourHackerDeskNumber)

	try:

	apiVersion: apps/v1beta1 # for versions before 1.6.0 use extensions/v1beta1
	kind: Deployment
	metadata:
	name: gateway
	spec:
	replicas: 1
	template:
	metadata:
	labels:
	app: gateway

	Docker 101 (Example demonstrating embedded video)

	# Objective

	This learning lab will introduce you blah blah blah, it's not a real learning lab, it just shows how the learning lab backend will notice a HTML snippet and parse it correctly in the output.

	In this case, the example embeds a youtube video directly into the learning lab page.

	Completion time: 5 minutes


	wget http://us.download.nvidia.com/XFree86/Linux-x86_64/375.26/NVIDIA-Linux-x86_64-375.26.run
	sudo yum install dkms gcc cc kernel-devel
	sudo yum update kernel
	sudo chmod +x ./NVIDIA-Linux-x86_64-375.26.run
	shutdown -r now #We need the running kernel to match our sources.


	# enable the epel repo in /etc/yum.repos.d/epel.repo
	yum install p7zip

	{
	"bip": "172.99.0.1/16"
	}

	{
	"bip": "172.99.0.1/16"
	}