This guide describes how to bootstrap new Production Core OS Cluster as High Availability Service in a 15 minutes with using etcd2, Fleet, Flannel, Confd, Nginx Balancer and Docker.
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#!/usr/bin/env python | |
# How to use: | |
# | |
# Ubuntu 16.04: apt install -y python-boto OR apt install -y python3-boto | |
# | |
# Specify the default profile on aws/boto profile files or use the optional AWS_PROFILE env var: | |
# AWS_PROFILE=example ./dehydrated -c -d example.com -t dns-01 -k /etc/dehydrated/hooks/route53.py | |
# | |
# Manually specify hosted zone: |
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resource "digitalocean_droplet" "web" { | |
image = "ubuntu-16-04-x64" | |
name = "web-1" | |
region = "sgp1" | |
size = "512mb" | |
ssh_keys = [12345] | |
connection { | |
type = "ssh" | |
user = "root" |
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sudo su - | |
mkdir -p /opt/bin | |
curl -L https://github.com/docker/compose/releases/download/1.5.1/docker-compose-`uname -s`-`uname -m` > /opt/bin/docker-compose | |
chmod +x /opt/bin/docker-compose |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
First create ec2 Ubuntu instance
Then install all the things needed for Mirth Connect (following this video: http://www.youtube.com/watch?v=omZyAO2naqs)
# Update Ubuntu
sudo aptitude update
# Safe upgrade of Ubuntu
sudo aptitude safe-upgrade