Mauricio Giacomini mgiacomini

Prelude

I. Preface and Motivation

This guide was written because I don't particularly enjoy deploying Phoenix (or Elixir for that matter) applications. It's not easy. Primarily, I don't have a lot of money to spend on a nice, fancy VPS so compiling my Phoenix apps on my VPS often isn't an option. For that, we have Distillery releases. However, that requires me to either have a separate server for staging to use as a build server, or to keep a particular version of Erlang installed on my VPS, neither of which sound like great options to me and they all have the possibilities of version mismatches with ERTS. In addition to all this, theres a whole lot of configuration which needs to be done to setup a Phoenix app for deployment, and it's hard to remember.

For that reason, I wanted to use Docker so that all of my deployments would be automated and reproducable. In addition, Docker would allow me to have reproducable builds for my releases. I could build my releases on any machine that I wanted in a contai

MacOSx Update Fix:

Reinicializa em Modo Recovery (Cmd-R), e entra em Utilities -> Terminal
Executa uma busca do pacote em uma pasta temporária: find / -name OSInstall.mpkg
Cria a pasta correta: mkdir -p "/Volumes/Macintosh HD/System/Installation/Packages"

Before you begin

gcloud config set project [PROJECT_ID]
gcloud config set compute/zone [COMPUTE_ZONE]
gcloud components update

Cluster

Hire resources

Create a container cluster: gcloud container clusters create [CLUSTER_NAME]
Ensure was created: gcloud container clusters list

	db_conn = ActiveRecord::Base.connection.raw_connection
	copy_statement = 'COPY forecasts FROM STDIN'
	file_path = '/tmp/forecast.csv'

	db_conn.copy_data(copy_statement) do
	CSV.foreach(file_path, headers: true) do \|row\|
	db_conn.put_copy_data(row.fields + [Time.zone.now])
	end
	end

	#!/bin/bash

	echo "#####" >> result.txt
	echo "L3 Bandwidth" >> result.txt

	for i in 32 33 64 65 128 129 256 257 512 1000 2000
	do
	echo $i >> result.txt
	likwid-perfctr -f -C 0 -g L3 -m ./invmat -i 10 -r $i -o saida.txt \| grep "L3 bandwidth" >> result.txt
	#likwid-perfctr -f -C 0 -g L3 ./cgSolver $num 7 -i 10 -o saida.txt

	#!/bin/bash
	# Stop all containers
	docker stop $(docker ps -a -q)
	# Delete all containers
	docker rm $(docker ps -a -q)
	# Delete all images
	docker rmi $(docker images -q)

	mutation {
	createOpportunity(
	contact: {
	name: "mauricio",
	email: "[email protected]",
	phone: "41 995 000 315",
	age: 35
	},
	loan_value: 100000.0,
	realty_value: 200000.0,

	data = json.load(open("medidas.json"))

	def is_json(myjson):
	try:
	json_object = json.loads(myjson)
	except ValueError:
	return False
	return json_object

	def decode_json(json):

	var MAX_CET = 100000;
	var valorCET = 0;

	while (true) {
	var valorTotal = 0;

	for (mes = 1; mes <= gPrazoPagamento; mes++) {
	var valorCalculado = parcelasArray[mes - 1].valorParcela / Math.pow((1.0 + valorCET), mes);

	valorTotal = valorTotal + valorCalculado;

	def build_export_query(user, batch_size \\ 500)
	columns = ~w(id name amount amount_currency cycle first_bill_date type type_description)

	query = """
	COPY (
	SELECT #{Enum.join(columns, ",")}
	FROM subscriptions
	WHERE archived = false
	AND user_id = #{user.id}
	) to STDOUT WITH CSV DELIMITER ',';