I hereby claim:
- I am joaoqalves on github.
- I am joaoqalves (https://keybase.io/joaoqalves) on keybase.
- I have a public key whose fingerprint is 2524 8CFB 6DE6 0609 35F3 CEF4 BF52 78FC 85E6 095B
To claim this, I am signing this object:
| #!/usr/bin/expect -f | |
| set timeout 500 | |
| set pass 0 | |
| if { $argc < 2 } { | |
| puts "Usage:\r" | |
| puts "myrcom <eiXXXXX> <pc> (eg: 70,80,20,50) |password|\r" | |
| exit |
| #!/usr/bin/python | |
| from bluetooth import * | |
| from threading import Thread | |
| import time | |
| import random | |
| def communication( skt, info ): | |
| skt.settimeout(3) |
| import sbt._ | |
| import Keys._ | |
| object Build extends Build { | |
| import BuildSettings._ | |
| import Dependencies._ | |
| lazy val root = Project("kioo-mobile-app-backend", file(".")) | |
| .settings(basicSettings: _*) | |
| .settings(libraryDependencies ++= |
I hereby claim:
To claim this, I am signing this object:
| #!/bin/bash | |
| apt-get -y update | |
| apt-get -y install curl | |
| apt-get -y install build-essential | |
| apt-get -y install python-dev | |
| apt-get -y install python-setuptools | |
| curl -L https://bootstrap.saltstack.com -o install_salt.sh | |
| sh install_salt.sh -P stable |
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| import json | |
| import requests | |
| import sys | |
| __BASE_URL = "https://api-game.laligafantasymarca.com/api/1" | |
| __TOKEN = "xxxx" # get it after logging in to the website | |
| __AUTH_HEADER = "Bearer {0}".format(__TOKEN) |
| I may be a bit outdated about GCP but if I am I guess you’ll correct me :) I’m no infrastructure expert though. My knowledge comes from a small comparison that we did in my previous company [biased ‘cause we had a AWS certified guy :)]: | |
| Feature-wise, AWS has a fine-grained user management that may be important for large companies. Same for network topologies [again, big companies]. More flexibility when choosing an instance in AWS (~30 vs ~20 instance types). AWS is more powerful when it comes to handle hybrid cloud solutions. AWS' ElastiCache has no equivalent in GCP, I think. RDS is years ahead of Google SQL engine. | |
| About tooling: a lot of open-source _CLI_s and open-source tools that leverage AWS. A certification program, etc etc… all of this increases AWS value for a client. And that’s why they can charge more and that’s why comparing only prices is not fair. Even comparing services would be “risky” [from a business perspective], due to the stability and proven success of AWS over the last 10 years. I |
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| from functools import partial | |
| def curried(n): | |
| def curry(fn): | |
| def _inner(*args): | |
| if len(args) < n: |
| 0499012070ecc4497830b7608b3f3c56f7a197cb532000309f9a1fdda91218dca6609ec7b6d4fe4fd5530e4656f7b2128afcd4f22cf0086afcb7a5826a79443edf |
| import javax.sql.DataSource; | |
| import org.springframework.batch.core.configuration.annotation.DefaultBatchConfigurer; | |
| public class InMemoryBatchConfigurer extends DefaultBatchConfigurer { | |
| public void setDataSource(DataSource dataSource) { | |
| // This is intentionally left blank | |
| } | |
| } |