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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from moneywagon import get_current_price, get_address_balance | |
from moneywagon.tx import Transaction | |
from bitcoin import privkey_to_address | |
data = [ | |
['btc', 'KwsccfDeJkrW6ZgMH6AJ7apNGncMVEagNWhTwq9MJnqoKp58i1MG'], | |
['ltc', 'T3ht4QWpi8q6sQKDpj7AKwMkDeFfZKbaBibiodmtsm1xqhcTJZT1'] | |
] | |
## DETERMINE IF TRADE IS NEEDED |
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## NOTE: | |
## because this docker-compose.yml is designed to work with a remote docker-machine, | |
## all mounted volume paths are currently relative to /concourse-data, data is thus stored on the docker host | |
nginx: | |
image: nginx | |
container_name: nginx | |
ports: | |
- "80:80" | |
- "443:443" |
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#!/bin/bash -uxe | |
VERSION=2.7.13.2713 | |
PACKAGE=ActivePython-${VERSION}-linux-x86_64-glibc-2.3.6-401785 | |
# make directory | |
mkdir -p /opt/bin | |
cd /opt | |
wget http://downloads.activestate.com/ActivePython/releases/${VERSION}/${PACKAGE}.tar.gz |
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# Author: Kyle Kastner | |
# License: BSD 3-Clause | |
# Implementing http://mnemstudio.org/path-finding-q-learning-tutorial.htm | |
# Q-learning formula from http://sarvagyavaish.github.io/FlappyBirdRL/ | |
# Visualization based on code from Gael Varoquaux [email protected] | |
# http://scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from matplotlib.collections import LineCollection |
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# Configure the settings to use to setup this Jenkins Executor | |
$Port = 80 | |
$IPAddress = '192.168.1.96' | |
$SubnetPrefixLength = 24 | |
$DNSServers = @('192.168.1.1') | |
$DefaultGateway = '192.168.1.1' | |
# Install .NET Framework 3.5 | |
Install-WindowsFeature -Name NET-Framework-Core |
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mode = ENV["SPEC"] || "full" | |
require_relative "spec_helper_#{mode}" |
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#!/usr/bin/env python | |
import sys | |
import json | |
from neutronclient.v2_0 import client as neutronclient | |
authurl = 'http://10.0.2.15:5000/v2.0' | |
username = 'demo' | |
password = 'pass' | |
tenantname = 'demo' |
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#!/bin/bash | |
# note: this script is invoked automatically by rackspace-flasky.py | |
# save command line arguments | |
GMAIL_USERNAME=$1 | |
GMAIL_PASSWORD=$2 | |
# install web server dependencies | |
apt-get update | |
apt-get -y install python python-virtualenv nginx supervisor git |