Bernardo García bgarcial

Keybase proof

I hereby claim:

I am bgarcial on github.
I am bgarcial (https://keybase.io/bgarcial) on keybase.
I have a public key ASBFqlQwD143alNWnAA7qAZxSJkITHPzw9Ny0WclEXowIAo

To claim this, I am signing this object:

Using cert-manager to work with kong and ingress

cert-manager is a native Kubernetes certificate management controller. It can help with issuing certificates from a variety of sources, such as Let’s Encrypt, HashiCorp Vault, a simple signing keypair, or self signed.

We are going to use Let's Encrypt to issue our zcrm365 certificate

Install the cert-manager CustomResourceDefinition resources separately 00-crds.yaml is here https://cert-manager.readthedocs.io/en/latest/getting-started/install.html#steps

	from django.test import TestCase

	from .models import Categoria,Enlace
	from django.contrib.auth.models import User

	# Create your tests here.

	class SimpleTest(TestCase):
	def test_es_popular(self):
	categoria = Categoria.objects.create(titulo='Categoria de prueba')

	course)bgarcial@el-pug:~/python_Devel/course/proyecto_clase2$ python manage.py test app
	Creating test database for alias 'default'...
	E
	======================================================================
	ERROR: proyecto_clase2.app.tests (unittest.loader.ModuleImportFailure)
	----------------------------------------------------------------------
	ImportError: Failed to import test module: proyecto_clase2.app.tests
	Traceback (most recent call last):
	File "/usr/lib/python2.7/unittest/loader.py", line 252, in _find_tests
	module = self._get_module_from_name(name)

	void SerialDriver::draw(const core::visual::VisualParams* vparam)
	{
	vparam = NULL;
	draw();
	}

	float stof(const char* s){
	float rez = 0, fact = 1;
	if (*s == '-'){
	s++;

	class SearchView(UserProfileDataMixin, ListView):
	template_name = 'search.html'
	model = get_user_model()

	def get_context_data(self, **kwargs):
	query = self.request.GET.get("q")
	qs = None
	if query:
	qs = User.objects.filter(
	Q(username__icontains=query) \|

	from __future__ import unicode_literals

	# Importing the libraries
	import numpy as np
	import matplotlib.pyplot as plt
	import pandas as pd
	from sklearn.cluster import KMeans
	# Using the elbow method to find the optimal number of clusters to apply to my Sioma data

	########### Leemos nuestro datasets SIOMA con todas las variables normalizadas ##########

	zmq_VERSION = zmq.zmq_version_info()
	anAgentsIDENTITY = whateverHashOrHumanReadableSTRING
	notMINE = anAgentsIDENTITY

	if zmq_VERSION[0] < 4:
	print "ZMQ{0:} ver < than expected, will exit".format( zmq_VERSION )
	aCTX = zmq.Context( 2 ) # if performance boosting is needed

	#SUB ---------------------------------------------------------------------------
	aSUB = aCTX.socket( zmq.SUB )

	pass; zmq_VERSION = zmq.zmq_version_info()
	if zmq_VERSION[0] < 4:
	print "ZMQ{0:} ver < than expected, will exit".format( zmq_VERSION )

	aCTX = zmq.Context( 2 ) # if performance boosting is needed

	#PUB ---------------------------------------------------------------------------
	aPUB = aCTX.socket( zmq.PUB )
	aPUB.setsockopt( zmq.LINGER, 0 ) # protect your server
	aPUB.setsockopt( zmq.MAXMSGSIZE, m ) # protect your server from DoS

	apiVersion: v1
	kind: Namespace
	metadata:
	name: kong

	---

	apiVersion: v1
	kind: Secret
	metadata: