mspan

jay-johnson

Format the Volume

driver@localhost:/var/lib$ sudo fdisk -l

Disk /dev/sda: 31.5 GB, 31515377664 bytes
255 heads, 63 sectors/track, 3831 cylinders, total 61553472 sectors
Units = sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 512 bytes
I/O size (minimum/optimal): 512 bytes / 512 bytes

jbcurtin

from IPython.core.magic import Magics, magics_class, line_magic
import asyncio
from concurrent.futures import Future

# Credits goes to https://gist.github.com/chrisseto/8f7289497f40ad442a30#gistcomment-1701177

@magics_class
class AsyncMagics(Magics):
    @line_magic
    def await(self, line):

steebchen

# Requirements: an existing and running k8s cluster

curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get | bash

helm init

# taken from http://docs.ceph.com/docs/master/start/kube-helm/
helm serve &

# wait for helm serve to be ready

fjammes

# Comment line 9 in /etc/systemd/system/kubelet.service.d/10-kubeadm.conf
[Service]
Environment="KUBELET_KUBECONFIG_ARGS=--bootstrap-kubeconfig=/etc/kubernetes/bootstrap-kubelet.conf --kubeconfig=/etc/kubernetes/kubelet.conf"
Environment="KUBELET_SYSTEM_PODS_ARGS=--pod-manifest-path=/etc/kubernetes/manifests --allow-privileged=true"
Environment="KUBELET_NETWORK_ARGS=--network-plugin=cni --cni-conf-dir=/etc/cni/net.d --cni-bin-dir=/opt/cni/bin"
Environment="KUBELET_DNS_ARGS=--cluster-dns=10.96.0.10 --cluster-domain=cluster.local"
Environment="KUBELET_AUTHZ_ARGS=--authorization-mode=Webhook --client-ca-file=/etc/kubernetes/pki/ca.crt"
Environment="KUBELET_CADVISOR_ARGS=--cadvisor-port=0"
# Environment="KUBELET_CGROUP_ARGS=--cgroup-driver=systemd"
Environment="KUBELET_CERTIFICATE_ARGS=--rotate-certificates=true --cert-dir=/var/lib/kubelet/pki"

richleland

DEFAULT_FILE_STORAGE = 'storages.backends.s3boto.S3BotoStorage'
STATICFILES_STORAGE = 'path.to.storage.S3StaticStorage'
THUMBNAIL_DEFAULT_STORAGE = 'storages.backends.s3boto.S3BotoStorage'
AWS_ACCESS_KEY_ID = 'YOUR KEY'
AWS_SECRET_ACCESS_KEY = 'YOUR KEY'
AWS_STORAGE_BUCKET_NAME = 'media.YOURSITE.com'
AWS_STATIC_BUCKET_NAME = 'static.YOURSITE.com'
AWS_S3_CUSTOM_DOMAIN = AWS_STORAGE_BUCKET_NAME
AWS_STATIC_CUSTOM_DOMAIN = AWS_STATIC_BUCKET_NAME
STATIC_URL = 'http://%s/' % AWS_STATIC_BUCKET_NAME

jbcurtin

#!/usr/bin/env python
'''
A #microtutorial to show how to use asyncio and some other stdlib-tools,
 https://pugetsoundpython.slack.com/archives/C03LJKBPJ/p1530204386000485
 
 
Invoke with,
`python nhuntwalker-asyncio.py -m on`
`python nhuntwalker-asyncio.py -m awe`
`python nhuntwalker-asyncio.py`

carlessanagustin

1. Create cluster

Cluster up and running

minikube version
minikube start
kubectl version

mchirico

#!/usr/bin/env python
import tensorflow as tf
import numpy as np
from numpy import genfromtxt

# Build Example Data is CSV format, but use Iris data
from sklearn import datasets
from sklearn.model_selection import train_test_split
import sklearn
def buildDataFromIris():

jamesbuckett

Deploy a Kubernetes cluster and Microservices Application

What Problem are we solving

What is Kubernetes?

Agenda

• Deploy a Kubernetes cluster on Digital Ocean using kubeadm