Cloud Computing

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  • There are some virtualization and cloud material in this resume that could be added to the wiki.

Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model is composed of five essential characteristics, three service models, and four deployment models.


CA1 - Case study - Migration of on-premise network onto a public Cloud provider

CA1 - Physical Server Hardware Research / Case study of one company that successfully migrated their on-premise network onto a public Cloud provider


Essential Characteristics

On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.

Broad network access: Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations).

Resource pooling: The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, and network bandwidth.

Rapid elasticity: Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.

Measured service: Cloud systems automatically control and optimize resource use by leveraging a metering capability1 at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service.

On-Premise Computing:

  • Requires hardware, space, electricity, cooling
  • Requires managing OS, applications and updates
  • Software Licensing
  • Difficult to scale:
    • Too much or too little capacity
  • High upfront capital costs
  • You have complete control

Cloud Computing:

  • Shared, multi-tenant environment
  • Pools of computing resources
  • Resources can be requested as required
  • Available via the Internet
  • Private clouds can be available via private WAN
  • Pay as you go

Una de las ventajas más importantes del Cloud es que puede ser «scaled» fácilmente (Resources can be requested as required). En otras palabras, a través del cloud la capacidad se puede variar fácilmente con respecto a la demanda. sólo cuando la demanda sea alta, el sistema será configurado para disponer de gran capacidad. On-Premise Computing, lo que generalmente pasa es que se configura el sistema para cubrir una capacidad promedio y generalmente se debe sobreestimar para que, cuando la demanda sea alta, poder todavía cubrirla. Entonces, cuando la demanda es baja estamos a "over capacity" y podría también pasar que cuando la demanda sea muy alta estemos a "under capacity". Esto es solucionado en el cloud. Esto se puede visualizar a través del ejemplo presentado en las siguientes figuras, en el cual se plantea el caso de un Concert ticket web site.

Cloud-Managing demand1.png
Cloud-Managing demand2.png

Service Models

Infrastructure as a Service (IaaS) - Platform as a Service (PaaS) - Software as a Service (SaaS)

Cloud: IaaS - PaaS - SaaS: En esta gráfica se puede ver que la Virtual machine corre directamente sobre el hardware.. No hay un SO sobre el cual corren las VM's

Software as a Service (SaaS): The capability provided to the consumer is to use the provider’s applications running on a cloud infrastructure2. The applications are accessible from various client devices through either a thin client interface, such as a web browser (e.g., web-based email), or a program interface. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.

Platform as a Service (PaaS): The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages, libraries, services, and tools supported by the provider.3 The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, or storage, but has control over the deployed applications and possibly configuration settings for the application-hosting environment.

Infrastructure as a Service (IaaS): The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, and deployed applications; and possibly limited control of select networking components (e.g., host firewalls).

Deployment Models

Private cloud: The cloud infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers (e.g., business units). It may be owned, managed, and operated by the organization, a third party, or some combination of them, and it may exist on or off premises.

Community cloud: The cloud infrastructure is provisioned for exclusive use by a specific community of consumers from organizations that have shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be owned, managed, and operated by one or more of the organizations in the community, a third party, or some combination of them, and it may exist on or off premises.

Public cloud: The cloud infrastructure is provisioned for open use by the general public. It may be owned, managed, and operated by a business, academic, or government organization, or some combination of them. It exists on the premises of the cloud provider.

Hybrid cloud: The cloud infrastructure is a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load balancing between clouds).


Containers are a solution to the problem of how to get software to run reliably when moved from one computing environment to another. This could be from a developer's laptop to a test environment, from a staging environment into production, and perhaps from a physical machine in a data center to a virtual machine in a private or public cloud.

Problems arise when the supporting software environment is not identical. For example: "You're going to test using Python 2.7, and then it's going to run on Python 3 in production and something weird will happen. Or you'll rely on the behavior of a certain version of an SSL library and another one will be installed. You'll run your tests on Debian and production is on Red Hat and all sorts of weird things happen."

And it's not just different software that can cause problems, he added. "The network topology might be different, or the security policies and storage might be different but the software has to run on it."

How do containers solve this problem? Put simply, a container consists of an entire runtime environment: an application, plus all its dependencies, libraries and other binaries, and configuration files needed to run it, bundled into one package. By containerizing the application platform and its dependencies, differences in OS distributions and underlying infrastructure are abstracted away.

Containers offer a logical packaging mechanism in which applications can be abstracted from the environment in which they actually run.

Google Cloud Platform

para ver la Amount remaining del Promotion value of 243.35: Principal Menu (Burger) > Billing > Overview

Lo primero que tenemos que hacer es crear un proyecto. Generalmente hay un proyecto by default llamado «My First Project». Para crear un nuevo proyecto debemos ir a la pestaña que se encuentra justo al lado del Main Menu (Hamburger).


  • 1 shared vCPU, 0.6 GB RAM, 50GB Storage: 70.56 $/year
  • 1 shared vCPU, 1.7 GB RAM, 50GB Storage: 189.6 $/year

CA2-Interacting with the GCP


  1. Creating a storage bucket. Uploading items from a host computer using the command line and the GUI and place them into the bucket
    1. Using the command line
    2. Using the GUI
  2. Upload items from the bucket to a Linux virtual machine using the Google CLI
  3. Creation of a Linux VM, installing Apache and uploading the web page to the web site
  4. Create a Linux VM, install NGINX and upload the web page to the web site
  5. Create a Windows VM, install IIS and upload the web page to the web site
  6. Live Migration of a VirtualBox VM to the GCP
  7. Explain what Live Migration is and identify situations where DigiTech could benefit from it
  8. Research topic: Other services available from Google’s Cloud Launcher
    1. Python tutorial
  9. Challenging research topic - GCSFUSE: It allows you to mount a bucket to a Debian Linux virtual machine
    1. Installing Cloud Storage FUSE and its dependencies
    2. Mounting a Google Cloud Storage Bucket as a local disk
    3. Change the root directory of an apache server

Cloud SDK: Command-line interface for Google Cloud Platform

The Cloud SDK is a set of tools for Cloud Platform. It contains gcloud, gsutil, and bq, which you can use to access Google Compute Engine, Google Cloud Storage, Google BigQuery, and other products and services from the command-line. You can run these tools interactively or in your automated scripts. A comprehensive guide to gcloud can be found in gcloud Overview.


El proceso de instalación se encuentra detallado en

Logré instalarlo correctamente a través de la opción: Install for Debian / Ubuntu:

La procesimiento de instalación general para Linux: generó errores en mi sistema y no se pudo completar la instalación.

Initialize the SDK

Luego de instalar SDK, debemos usar the gcloud init command to perform several common SDK setup tasks. These include:

  • Especificar la user account ( authorizing the SDK tools to access Google Cloud Platform using your user account credentials
  • Setting up the default SDK configuration:
  • El proyecto (creado en al GCP) al que vamos a acceder by default
  • ...
gcloud init

Crear una VM Instance

Main Menu (Hamburger) > Compute Engine > VM instances:

  • Create Instance

Linux VM Instance

  • Name: debian9-1
  • Zone: Lo lógico es elegir la zona donde te encuentras, aunque si elijes alguna otra no habrá mucha diferencia (el precio varía dependiendo de la zona)
Elegiremos la primera zona de West Europe propuesta: europe-west4-a
  • Machine type: Is customize. Las características por defecto son:
1vCPU / 3.75 GB memory
Las características más básicas son:
micro (1 shared vCPU 0.6GB memory) (el precio baja considerablemente si elegimos éste) (para Linux podría ser suficiente)
  • Container: Deploy a container image to this VM instance.
Ver Containers
No es, por ahora, necesario activar esta opción para nuestro propósito de prueba.
  • Boot disk:
OS: La opción por defecto es Debian GNU/Linux 9 (stretch). Vamos estar trabajando con éste.
Disk size: 10GB por es la opción por defecto para Linux.
  • Identity and API access :
Service account: Esta opción se encuentra ajustada a "Compute Engine Default Service Account".
Access scopes:
  • Allow default access: Activada por defecto...
  • Allow full access to all Cloud APIs
  • Es apropiado marcar esta opción. Si no se marca no se podrá, por ejemplo, copiar files desde una VM instance a un bucket de esta forma:
gsutil cp file.txt gs://adelostorage/
  • Otra opción es para permitir copiar archivos desde la VM hacia un bucket es configurar la "Service account". Debemos elegir una Service Account que hayamos configurade previamente para permitir este tipo de acciones. Ver Service Accounts para más detalles
  • Set access for each API
  • Firewall:
Add tags and firewall rules to allow specific network traffic from the Internet
  • Allow HTTP traffic: Activaremos esta opción to be able to maange the site through an SSH connection.
  • Allow HTTPS traffic: Activaremos esta opción to be able to maange the site through an SSH connection.
  • Management, disks, networking, SSH keys: Este link nos da la opción de realizar muchas otras configuraciones. Dejaremos todo por defecto por ahora.

Crear storage

Create a storage bucket:

Main Menu > Storage > Browser:

  • Create bucket:
    • Name: mi_storage-1
    • Default storage class: Vamos a dejar la opción by default -- Multi-Regional
    • Location: Europe

Connecting to Instances

Compute Engine provides tools to manage your SSH keys and help you connect to either Linux and Windows Server instances.

Connecting to Linux instances

You can connect to Linux instances through either:

  • The Google Cloud Platform Console
  • The gcloud command-line tool.
  • Connecting using third-party tools

Compute Engine generates an SSH key for you and stores it in one of the following locations:

  • By default, Compute Engine adds the generated key to project or instance metadata.
  • If your account is configured to use OS Login, Compute Engine stores the generated key with your user account.

The Google Cloud Platform Console

Esta es un Console que pertenece a la GCP a la cual se accede a travé de una Browser window. Para abrirla vamos a:

  • In the GCP (Google Cloud Platform) Console, go to the VM Instances page.
  • In the list of virtual machine instances, click SSH in the row of the instance that you want to connect to.

The gcloud command-line tool

A través del comando gcloud (incluido en Cloud SDK) podemos acceder a la VM Instance desde el Terminal (Console) de nuestra computadora.

gcloud compute ssh [INSTANCE_NAME]

Connecting using third-party tools

Ver Linux#SSH

También podemos acceder a una VM Instance sin necesidad de utilizar herramientas de la GCP, como lo son The Google Cloud Platform Console or gcloud. Podemos, en su lugar, utilizar SSH.

Luego de crear una VM Instance, no podremos acceder a la VM a través de SSH debido a que ningún método de autentificación estará disponible. Como explicamos en Linux#SSH. Hay dos approach para la autentificación al usar SSH:

  • Using the password de la «cuenta linux»:
  • Las Google Cloud VM Instance se crean por defecto sin password. Además, en la configuración por defectos de las Google VM Instance, se impide la autentificación con password. Es decir, el archivo «/etc/ssh/sshd_config» presenta la siguiente configuración: «PasswordAuthentication no».
  • Entonces, tenemos primero que encontrar otro método de acceder a las GC VM para:
  1. Configurar «PasswordAuthentication yes»
  2. Configurar un password para el user@VMInstance
  • SSH Keys: Si queremos autentificar la conexión con este método tenemos primero que copiar la «public key» de nuestra computadora en las Google Cloud VM Instances.
  • Como se explica en Linux#SSH, si queremos hacerlo con el comando «ssh-copy-id» tenemos primero que configurar una password para el user@VMInstance y habilitar la autentificación a través de dicho password como explicamos arriba.
  • Entonces, igualmente, tenemos primero que encontrar otro método de acceder a las GC VM para poder copiar la «public key».

Alors, para conectarnos a las GC VM y realizar las configuraciones necesarias para permitir la conexión con SSH podemos usar el comando «gcloud» como ya hemos visto:

gcloud compute ssh [INSTANCE_NAME]

Cuando realizamos la primera conexión a través de «gcloud», el comando generará las keys necesarias para la conexión con «gcloud»:

SSH google keys.png

Lo que he constatado es que, luego de crear la GC VM, si intento ingresar con «ssh» antes de haber ingresado con «gcloud», no será posible el acceso porque no hay método de autentificación. Sin embargo, si primero me conecto con «gcloud», luego sí puedo ingresar con «ssh» sin necesidad de realizar otra configuración ni copiar la «public key». Esto me imagino que es porque, como se ve en la imagen mostrada arriba, «gcloud» ha creado las «key» y copiado la «public key» en la computadora destino; y al parecer éstas mismas funcionan con una conexión normal de ssh (sin acudir a «gcloud»). Esto lo he constatado conectandome desde mi computadora a las GC VM. Sin embargo, siguiendo el mismo procedimiento intenté conectarme entre dos GC VM Instances y no logré estableser la conección a través de SSH. El problema lo solucioné, siguiendo el consejo de un forum, borrando todos los archivos en «~/.ssh/» excepto «known_hosts» y generando nuevas keys (con «ssh-keygen») y copiando la nueva «public key» en la GC VM correspondiente, siguiendo los procedimientos en Linux#SSH.

Copy files

From the host computer to a bucket on Google Cloud

Luego de crear el bucket, podemos copiar archivos al bucket. Hay diferentes formas de hacerlo:

  • Sinple drag and drop
  • Usando el terminal de Google cloud
  • Desde el terminal de la computadora luego de instalar Cloud SDK

Desde el terminal de la computadora luego de instalar Cloud SDK

El siguiente comando copia un archivo que está en mi computadora a un bucket on GC:

gsutil cp probando gs://adelostorage

Where adelostorage is the name of the bucket.

From the host computer to a Linux VM Instance or between VM's

To copy a remote directory, ~/narnia, from example-instance to the ~/wardrobe directory of your local host, run:

gcloud compute scp --recurse example-instance:~/narnia ~/wardrobe

From a bucket to an VM Instance

Luego de acceder a una VM Instance, puedo copiar un archivo desde un bucket a dicha VM Instance a través de la siguiente orden:

 gsutil cp gs://adelostorage/probando.txt .

Acceding Cloud Storage buckets

He estado buscando una forma para acceder a mis Buckets de forma tal que sea posible compartir el bucket con otras personas:

  • A través de una URL
  • A través de un IP

En los siguientes links se explica como hacer el bucket público y como acceder a él a través de una URL:

Pensé que lo que se explicaba en esos links era la solución. Pero creo que eso sólo permite hacer el bucket público para todos los usuarios de un proyecto (creo); porque la URL a la que creo se refieren en dicho link es:

y pues ese link sólo permitiría el acceso a mi bucket al estar logeados en mi cuenta.

Connecting your domain to a Cloud Storage Bucket

Lo que sí encontré es que hay una forma de asociar el bucket a un dominio que nos pertenezca. Por ejemplo, el siguiente subdominio lo voy a asociar a un bucket:

En el siguiente link se explica como connect your domain to Cloud Storage and Hosting a Static Website en el Bucket:

Mounting Cloud Storage buckets as file systems

Cloud Storage FUSE: Mounting Cloud Storage buckets as file systems on Linux or OS X systems:

Cloud Storage FUSE is an open source FUSE adapter that allows you to mount Cloud Storage buckets as file systems on Linux or OS X systems.

Installing Cloud Storage FUSE and its dependencies

  • Add the gcsfuse distribution URL as a package source and import its public key:
export GCSFUSE_REPO=gcsfuse-`lsb_release -c -s`
echo "deb $GCSFUSE_REPO main" | sudo tee /etc/apt/sources.list.d/gcsfuse.list
curl | sudo apt-key add -
  • Update the list of packages available and install gcsfuse:
sudo apt-get update
sudo apt-get install gcsfuse
  • (Ubuntu before wily only) Add yourself to the fuse group, then log out and back in:
sudo usermod -a -G fuse $USER
  • Future updates to gcsfuse can be installed in the usual way:
sudo apt-get update && sudo apt-get upgrade

Set up credentials for Cloud Storage FUSE

Cloud Storage FUSE auto-discovers credentials based on application default credentials:

  • If you are running on a Google Compute Engine instance with scope storage-full configured, then Cloud Storage FUSE can use the Compute Engine built-in service account. For more information, see Using Service Accounts with Applications.
    • Si se está usando una Google Compute Engine Instance, no se tiene que hacer nada para montar el Bucket. Sin embargo si el Access scopes de dicha Instance no fue configurado correctamente, entonces no podremos copiar arechivos desde la Instance hacia el Bucket montado. Ver en la creación de la VM Instance que es apropiado elegir "Allow full access to all Cloud APIs" o elegir una Service Account que hayamos configurade previamente para permitir este tipo de acciones. Ver Service Accounts para más detalles.

  • If you installed the Google Cloud SDK and ran gcloud auth application-default login, then Cloud Storage FUSE can use these credentials.
  • If you set the environment variable GOOGLE_APPLICATION_CREDENTIALS to the path of a service account's JSON key file, then Cloud Storage FUSE will use this credential. For more information about creating a service account using the Google Cloud Platform Console, see Service Account Authentication.

Mounting a Google Cloud Storage Bucket as a local disk

  • Create a directory:
mkdir /path/to/mount
  • Create the bucket you wish to mount, if it doesn't already exist, using the Google Cloud Platform Console.
  • Use Cloud Storage FUSE to mount the bucket (e.g. example-bucket).
gcsfuse example-bucket /path/to/mount

Es muy importante notar que si montamos el bucket como se muestra arriba, no podremos accederlo a través del Web Brower. Es decir, el Web server no tendrá la permisología para acceder a este directorio.

Esto es un problema si queremos colocar un sitio web en el bucket; al cual se va a acceder a través de la VM Instance.

En este caso, debemos montarlo de la siguiente forma:

sudo gcsfuse -o noatime -o noexec --gid 33 --implicit-dirs -o ro -o nosuid -o nodev --uid 33 -o allow_other mi_storage1 /path/directory/

Explaining the mount options:

  • ro - mount the volume in read-only mode
  • uid=33,gid=33 - grant access to user-id and group-id 33 (usually the web serve user e.g. www-data):
    • Your OS has a web server user whose user-id (UID) and groupd-id (GID) are 33

Para desplegar el web server user-id (UID) and groupd-id:

id -u www-data
id -g www-data
  • noatime - don't update access times of files
  • _netdev - mark this as a network volume so the OS knows that the network needs to be available before it'll try to mount
  • noexec - don't allow execution of files in the mount
  • user - allow non-root users to mount the volume
  • implicit_dirs - treat object paths as if they were directories - this is critical and Fuse-specific
  • allow_other - allow non-root users to mount (Fuse-specific AFAIK)
  • To unmount the bucket:
fusermount -u /home/shared/local_folder/

Firewall Rules

How to open a specific port such as 9090 in Google Compute Engine:

Por defectos, sólo el puerto tcp:80 se encuentra abierto. Los otros están protegidos por los firewalls. Si configuramos, por ejemplo, un Web Server (Apache, NGINX) en un puerto distinto al 80, debemos modificar los Firewall Rules para que el Web Server sea capaz de servir las páginas a través de otro puerto.

Para abrir un puerto:

  • Choose you Project: al lado del Main Menu (burguer)
  • Then, go to: Burguer > VPC network > Firewall rules:
    • Create a firewall rule

Luego, seguir los pasos indicados en: Con las siguientes especificaciones (el resto en default) he sido capaz de hacerlo:

  • Targets
    • All instances in the network
  • Source IP ranges:
    • If you want it to apply to all ranges, specify
  • Specified protocols and ports:
    • tcp:8080 (para abrir el puerto 8080)

Service Accounts

A service account is a special account whose credentials you can use in your application code to access other Google Cloud Platform services.

Creating and Managing Service Accounts:

Creating and Enabling Service Accounts for Instances:

Granting Roles to Service Accounts:

Por ejemplo, para poder copar arvhivos desde VM Instance hacia un Bucket, you need to Setting up a new instance to run as a service account. Dicha service account tiene que haber sido Granted with the particular Roles que permiten dicha operación de copia.

To grant the roles, no puede hacerlo a través de la línea de comandos pues me generó un error. Lo pude sin embargo hacer desde la página de GCP. para la operación de copia descrita arriba hay que agregar a la service account en la cual corre la VM los roles relacionados con Storage:

  • Storage Admin
  • Storage Object Admin
  • Storage Object Creator
  • Storage Object Viewer

Luego de haber creado la Service Account podemos, al momento de crear la VM Instance, ajustar que la new instance runs as this service account (ver ).

Live Migration of a Virtual Machine

  • The virtualBox machine that you migrate should be using a VMDK (Virtual Machine Disk), not VDI (VirtualBox Disk Image) or VHD (Virtual Hard Disk).
  • Make sure you the NIC (Network Interface Controler) (Network > Adapter 1 > Attached to) is set to NAT so that you have Internet access.
  • Es muy importante tomar en cuenta que para podernos conectar (a través de gcloud compute ssh VMmigrada) a la VM Instance luego de haberla migrado, el paquete openssh-server tiene que haber sido previamente instalado en la VM.

Para realizar la migración:

  • In the GCP
    • Main Menu > Compute engine > VM Instances: Import VM
    • There you will be redirected to the Cloud Endure Platform (VM Migration Service)

  • In the Cloud Endure Platform (VM Migration Service)
  • GCP credentials
We need to create GCP credentials (Google Cloud Platform JSON private key (JSON file)). To generate a JSON private key file (could be also PKCS12 format) (Creo que estas credenciales cambiarían sólo si queremos realizar una migración hacia otro proyecto):
  • Click "Find out where to get these credentials"
  • Lo anterior abrirá la página de Documentation with a link to "Open the link of Credentials"
  • Then, you need to choose the project: The target project where your VM will be migrate.
  • Debemos copiar el Project ID porque luego lo vamos a necesitar en la Cloud Endure Platforme
  • Click "Create credentials" and Select "Service Account Key" option
  • Select the JSON option (for key type)
  • The service account should be "Compute engine default service account"
  • Then hit create: the JSON file will be downloaded to your computer.
  • Luego, you go back to the Cloud Endure Platform (VM Migration Service)
  • Enter the Google Cloud Platform project ID
  • Luego cargamos el JSON file (Google Cloud Platform JSON private key). Then "Save".
  • Replication settings
  • Live migration target: Google EU West 2 (London)
  • Hit Save replication settings
  • Luego de esto: Project setup complete Congratulations!
  • Your Live Migration Project is set up. So, the next step is to install the CloudEndure Agent on your Source machine.

  • Install the CloudEndure Agent on your Source machine
How To Add Machines:
In order to add a machine to the GCP, install the CloudEndure Agent on your machine (your VirtualBox VM for example) (data replication (proceso de transferencia de la VM) begins automatically upon CloudEndure Agent installation).

Your Agent installation token: (este código lo genera automáticamente la Cloud Endure Platform (VM Migration Service. No sé si es diferente en cada migración.. Creo podría depender del proyecto; entonces debería cambiar si queremos migrar una VM hacia otro proyecto)


For Linux machines:

Download the Installer:

wget -O ./

Antes de ejecutar el siguiente paso tuvimos que instalar:

sudo apt-get install python2.7
sudo apt-get install gcc

Then run the Installer and follow the instructions:

sudo python ./ -t 0E65-51C9-50EE-E20E-A583-9709-1653-BA57-457D-92BF-57B9-0DE2-22DC-EA11-3B80-81E6 --no-prompt

For Windows machines:

Download the Windows installer here, then launch as follows:

installer_win.exe -t 0E65-51C9-50EE-E20E-A583-9709-1653-BA57-457D-92BF-57B9-0DE2-22DC-EA11-3B80-81E6 --no-prompt

  • Data replication
  • Data replication begins automatically once the installation of the CloudEndure Agent is completed. You will see able to see progress on the Cloud Endure Platform (VM Migration Service)
  • Data replication es de hecho el proceso en el cual la VM es copiada hacia la GCP.

  • Launch target Machine
  • Luego de haberse completado la Data replication, se habrá creado una Instance en la página de VM Instace del correspondiente proyecto en la GCP. Esta Instace, cuyo nombre contiene "replicator" no será la VM Instance definitiva. Debemos entonces hacer click en "Launch target Machine" (aún en la Cloud Endure Platform (VM Migration Service)), lo cual generará la VM Instance en la correspondiente página de la GCP. Habrán entonces dos Instance en la Página de la GCP. En mi caso:
  • ce-replicator-goo16-20eb5f29
  • ubuntu-18932dd6
  • Si hacemos cambios en nuestra Local VirtualBox VM, podremos actualizar la correspondiente Google VM Instance fácilmente haciendo click en "Launch target Machine" nuevamente. La ce-replicator-goo16-20eb5f29 creo que tiene la función de actuar en esta actualización.

Live migration of a desktop computer

Migrating your computer to Google Cloud using Cloud Endure

Create Bitnami WordPress Site on Google Cloud


Setting up IIS web site on Google cloud



Overview of Amazon Web Services:

AWS Academy


AWS Academy uses three learning platforms to provide you with access to your learning resources. This guide shows you how to register on each platform and access the learning resources. There are three steps to registering on your class:

  • Register in the AWS Training & Certification Portal
  • Complete registration in Vocareum
  • Complete registration in VitalSource Bookshelf

  • AWS Training & Certification Portal
The AWS Training & Certificaiton Portal is our Learning Mangement System. It hosts videos, eLearning modules, and knowledge assessments:
  • Video introductions
  • Video console demos
  • Narrated lectures
  • Knowledge checks

  • Registering on Your Class:
  • This is the general link:
  • We can Create an account normally. Creo que no requiere ninguna autorización especial.
  • However, your educator could provide you with a registration link. This is the links provided in the course:

  • Vocareum:
General link:
Link provided for the course:
Your educator could provide you with a registration link:
  • Lab exercises
  • Projects
  • Activities

  • VitalSource BookShelf:
We can Create a VitalSource account normally. Creo que no requiere ninguna autorización especial; aunque la guía dice "Your educator will register you in VitalSource Bookshelf"
  • Student materials

AWS Global Infrastructure

AWS Global infrastructure can be brooked down into three elements:

  • Regions
  • Availability zones
  • Edge Locations

AWS-Global infrastructure.png
AWS Region.png

  • AWS Regions:
An AWS Region is a geographical area. Each Region is made up of two or more Availability Zones.
AWS has 18 Regions worldwide.
You enable and control data replication across Regions.
Communication between Regions uses AWS backbone network connections infrastructure.

  • AWS Availability Zones:
Each Availability Zone is:
Made up of one or more data centers.
Designed for fault isolation.
Interconnected with other Availability Zones using high-speed private links.
You choose your availability zones. AWS recommends replicating across Availability Zones for resiliency.

  • AWS Edge Locations:
An Edge Location is where users access AWS services.
It is a global network of 114 points of presence (103 Edge Locations and 11 regional Edge Caches) in 56 cities across 24 countries.
Specifically used with Amazon CloudFront, a Global Content Delivery Network (CDN), to deliver content to end users with reduced latency.
Regional edge caches used for content with infrequent access.

AWS Regions and number of Availability Zones.png
Edge locations-Regional edge caches.png

  • AWS Infrastructure Features:
  • Elastic and Scalable:
Elastic infrastructure; dynamic adaption of capacity.
Scalable infrastructure; adapts to accommodate growth.
  • Fault-tolerant:
Continues operating properly in the presence of a failure.
Built-in redundancy of components.
  • High availability:
High level of operational performance
Minimized downtime
No human intervention

AWS Core Services

AWS Foundational/Core Services

AWS has a lot of services, but some of them, provides the foundation for all solutions; we refer to those as the Core Services.

AWS-Foundation services.png

AWS-Foundation services-Services and Categories.png


  • Amazon Elastic Compute Cloud (EC2)
  • EC2 is essentially a computer in the cloud. EC2 is a Web Service that provides compute capacity in the cloud (Virtual computing environment in the cloud).
  • EC2 allows you to create and configure virtual compute capacity.
  • Elastic refers tot the fact that if properly configured, you can increase or decrease the amount of servers required by an application automatically, according to the current demands on that application.
  • Compute refers to the compute, or server resources that are being presented.

  • AWS Lambda:
  • AWS Lambda is an event-driven, serverless computing platform. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code.
  • AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running.
  • The purpose of Lambda, as compared to AWS EC2, is to simplify building smaller, on-demand applications that are responsive to events and new information. AWS targets starting a Lambda instance within milliseconds of an event. Node.js, Python, Java, Go[2], Ruby[3] and C# (through .NET Core) are all officially supported as of 2018. In late 2018, custom runtime support[4] was added to AWS Lambda giving developers the ability to run a Lambda in the language of their choice.

  • Auto Scaling:
  • Scales EC2 capacity as needed
  • Improves availability

  • Elastic Load Balancer:
  • Elastic Load Balancing automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, IP addresses, and Lambda functions. It can handle the varying load of your application traffic in a single Availability Zone or across multiple Availability Zones.

  • AWS Elastic Beanstalk:
  • AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS.
You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring.


There are three broad categories of storage:
  • Instance storage: Temporary storage that is added to your Amazon EC2 instance

  • Amazon Elastic Block Store (Amazon EBS): It is persistent, mountable storage, which can be mounted as a device to an Amazon EC2 instance. Amazon EBS can only be mounted to an Amazon EC2 instance within the same Availability zone.
Each Amazon EBS volume is automatically replicated within its Availability Zone to protect you from component failure, offering high availability.
  • Uses:
  • Boot volumes and storage for Amazon EC2 instances
  • Data Storage with a file system
  • Database hosts
  • Enterprise applications.
  • Volume types:
  • Solid-State Drives (SSD)
  • Hard Disk Drives (HDD)

  • Amazon Simple Storage Service (Amazon S3): Similar to Amazon EBS. It is persistent storage; however, it can be accessed from anywhere.
  • Object level storage
  • Amazon S3 con even be configured to support corss-region replication such that data put into an Amazon S3 bucket in one region can be automatically replicated to another Amazon S3 Region.
  • Uses:
  • Storing application assets
  • Static web hosting
  • Backup and Disaster Recovery (DR)
  • Staging area for big data

Another Storage options:
  • Amazon Elastic File System (Amazon EFS)
Provides simple, scalable, elastic file storage for use with AWS services and on-premises resources. It is easy to use and offers a simple interface that allows you to create and configure file systems quickly and easyly.
Amazon EFS is build to elastically scale on demand withou disrupting applications, growing and shrinking automatically as you add and remove files, so your applications have the storage they need, when they need it.

  • Amazon Glacier:
  • Amazon Glacier is a secure, durable, and extremely low-cost cloud storage service for data archiving and long-term backup.
  • Data stored in Amazon Glacier takes several hours to retrieve, which is why it's ideal for archiving.

  • Amazon Relational Database Service (RDS)

  • Amazon DynamoDB

  • Amazon Redshift

  • Amazon Aurora

Block vs Object Storage

What if you want to change one character in a 1 GB file?:

  • With block storage, you only need to change the block that contains the character.
  • With object storage, the entire file must be updated.

This difference has a mejor impact on the throughput latency, and cost of your storage solution. Block storage solutions are typically faster and use less bandwidth, but cost more than object-level storage.

Block vs Object Storage.png


  • Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.

  • Amazon EMR provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances.

  • Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application. Amazon CloudSearchsupports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search

  • Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch to search, analyze, and visualize data in real-time. With Amazon Elasticsearch Service,you get easy-to-use APIs and real-time

  • Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.

  • Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake.

  • Amazon QuickSight is a fast, cloud-powered business intelligence (BI) service that makes it easy for you to deliver insights to everyone in your organization. QuickSight lets you create and publish interactive dashboards that can be accessed from browsers or mobile devices.

  • AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.

  • AWS Glue is a fully managed extract, transform, and load (ETL)service that makes it easy for customers to prepare and load their data for analytics

  • AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

Why should I use Amazon VPC:

Amazon VPC enables you to build a virtual network in the AWS cloud - no VPNs, hardware, or physical datacenters required. You can define your own network space, and control how your network and the Amazon EC2 resources inside your network are exposed to the Internet. You can also leverage the enhanced security options in Amazon VPC to provide more granular access to and from the Amazon EC2 instances in your virtual network.

Important concepts

Virtual Private Cloud - VPC

Amazon Virtual Private Cloud (Amazon VPC) is an AWS (podríamos decir a framework) that allows you to define or to provision a logically isolated section of the Amazon Web Services (a Virtual Network) where you can launch AWS resources.

You have complete control over your virtual networking environment, including selection of your own IP address ranges, creation of subnets, and configuration of route tables and network gateways.

  • Components of Amazon VPC:
  • Subnet: A segment of a VPC's IP address range where you can place groups of isolated resources.
  • Internet Gateway: The VPC side of a connection to the public Internet.
  • NAT Gateway: A highly available, Network Address Translation (NAT) service for your resources in a subnet to access the Internet.
  • Virtual private gateway: The VPC side of a VPN connection.
  • Peering Connection: A peering connection enables you to route traffic via private IP addresses between two peered VPCs.
  • VPC Endpoints: Enables private connectivity to services hosted in AWS, from within your VPC without using an Internet Gateway, VPN, Network Address Translation (NAT) devices, or firewall proxies.
  • Egress-only Internet Gateway: A stateful gateway to provide egress only access for IPv6 traffic from the VPC to the Internet.

  • The advantage of the VPC:
In a VPC you can control how your network and the Amazon EC2 resources inside your network are exposed to the Internet. This way, you can take advantage of the enhanced security options in Amazon VPC to provide more granular access to and from Amazon EC2 instances in your virtual network.

Some of the security options you can take advantage are:
  • ...
  • ...

Network ACLs

A network access control list (ACL) is an optional layer of security for your VPC that acts as a firewall for controlling traffic in and out of one or more subnets.

For example, we can define an ACL to allow Inbound traffic only when the traffic match this features: Type: HTTPS Protocol: TCP Port Range: 443 Source: (Cualquier source) Allow/Deny: Allow Comments: Allows inbound HTTP traffic from any IPv4 address.

All other traffic will be denied. For example, HTTP traffic (TCP, port 80) OR SSH (TCP port 22) traffic will be denied.

  • Default Network ACL: Your VPC automatically comes with a modifiable default network ACL. By default, it allows all inbound and outbound IPv4 traffic and, if applicable, IPv6 traffic.
The default network ACL is configured to allow all traffic to flow in and out of the subnets with which it is associated. Each network ACL also includes a rule whose rule number is an asterisk. This rule ensures that if a packet doesn't match any of the other numbered rules, it's denied.
The following is an example default network ACL for a VPC that supports IPv4 only:
Default AWS ACL.png

  • Custom Network ACL: The following table shows an example of a custom network ACL for a VPC that supports IPv4 only.
Custom AWS ACL.png

Security Groups

Here you can see the Network Access Control List (ACL) associated with the subnet. The rules currently permit ALL Traffic to flow in and out of the subnet, but they can be further restricted by using Security Groups.

AWS Vocareum labs

ACA Module 3 LAB - Making Your Environment Highly Available

Critical business systems should be deployed as Highly Available applications, meaning that they can remain operational even when some components fail. To achieve High Availability in AWS, it is recommended to run services across multiple Availability Zones.

Many AWS services are inherently highly available, such as Load Balancers, or can be configured for high availability, such as deploying Amazon EC2 instances in multiple Availability Zones.

In this lab, you will start with an application running on a single Amazon EC2 instance and will then convert it to be Highly Available.


After completing this lab, you will be able to:

  • Create an image of an existing Amazon EC2 instance and use it to launch new instances.
  • Expand an Amazon VPC to additional Availability Zones.
  • Create VPC Subnets and Route Tables.
  • Create an AWS NAT Gateway.
  • Create a Load Balancer.
  • Create an Auto Scaling group.

The final product of your lab will be this:

Aws lab-Making your environment highly available1.jpg

Task 1 - Inspect Your environment

This lab begins with an environment already deployed via AWS CloudFormation including:

  • An Amazon VPC
  • A public subnet and a private subnet in one Availability Zone
  • An Internet Gateway associated with the public subnet
  • A NAT Gateway in the public subnet
  • An Amazon EC2 instance in the public subnet

Aws lab-Making your environment highly available2.jpg

Task 1-1 - Inspect Your VPC
  • On the AWS Management Console, on the Services menu, click VPC.
In the left navigation pane, click Your VPCs.
Here you can see the Lab VPC that has been created for you.

  • IP range: In the IPv4 CIDR column, you can see a value of, which means this VPC includes 4,096 IPs between and (with some reserved and unusable).

  • It is also attached to a Route Table and a Network ACL.

  • This VPC also has a Tenancy of default, instances launched into this VPC will by default use shared tenancy hardware.

  • Subnets: In the navigation pane, click Subnets.
Here you can see the Public Subnet 1 subnet:
  • In the VPC column, you can see that this subnet exists inside of Lab VPC

  • IP range: In the IPv4 CIDR column, you can see a value of, which means this subnet includes the 256 IPs (5 of which are reserved and unusable) between and

  • Availability Zone: In the Availability Zone column, you can see the Availability Zone in which this subnet resides.

  • Click on the row containing Public Subnet 1 to reveal more details at the bottom of the page.

  • Route Table: Click the Route Table tab in the lower half of the window.
Here you can see details about the Routing for this subnet:
  • Local traffic: The first entry specifies that traffic destined within the VPC's CIDR range ( will be routed within the VPC (local).
  • Internet Gateway: The second entry specifies that any traffic destined for the Internet ( is routed to the Internet Gateway (igw-). This setting makes it a Public Subnet.
  • In the left navigation pane, click Internet Gateways.
Notice that an Internet Gateway is already associated with Lab VPC.

  • ACL: Click the Network ACL tab in the lower half of the window.
Here you can see the Network Access Control List (ACL) associated with the subnet. The rules currently permit ALL Traffic to flow in and out of the subnet, but they can be further restricted by using Security Groups.

  • Security Groups: In the navigation pane, click Security Groups.
  • Click Configuration Server SG.
This is the security group used by the Configuration Server.
  • Click the Inbound Rules tab in the lower half of the window.
Here you can see that this Security Group only allows traffic via SSH (TCP port 22) and HTTP (TCP port 80).
  • Click the Outbound Rules tab.
Here you can see that this Security Group allows all outbound traffic.

Task 1-2 - Inspect Your Amazon EC2 Instance

In this task, you will inspect the Amazon EC2 instance that was launched for you.

  • On the Services menu, click EC2.

  • In the left navigation pane, click Instances.
Here you can see that a Configuration Server is already running. In the Description tab in the lower half of the window, you can see the details of this instance, including:
  • Public and private IP addresses
  • Availability zone
  • VPC
  • Subnet
  • Security Groups.

  • In the Actions menu, click Instance Settings > View/Change User Data.
Note that no User Data appears! This means that the instance has not yet been configured to run your web application. When launching an Amazon EC2 instance, you can provide a User Data script that is executed when the instance first starts and is used to configure the instance. However, in this lab you will configure the instance yourself!

  • Click Cancel to close the User Data dialog box.

Task 2 - Login to your Amazon EC2 instance

  • En este lab se descargó el archivo «labsuser.pem» de una forma particular debido a que el la genera la VPC and Instances de forma automática. Sabemos que este archivo «labsuser.pem» se optiene cuando se crea la Instance, podemos descargarlo y contiene la ssh key que permite autenticar la conexión entre nuestra computadora y la instance.
  • Change the permissions on the key to be read only, by running this command:
chmod 400 labsuser.pem

  • Luego para conectarnos desde el terminal:
ssh -i labsuser.pem ec2-user@<public-ip>

Task 3 - Install and Launch Your Web Server PHP Application

sudo yum -y update

This command installs an Apache web server (httpd) and the PHP language interpreter:

sudo yum -y install httpd php

This configures the Apache web server to automatically start when the instance starts:

sudo chkconfig httpd on

This downloads a zip file containing the PHP web application:

sudo unzip -d /var/www/html/

This starts the Apache web server:

sudo service httpd start

Open a new web browser tab, paste the Public IP address for your instance in the address bar and hit Enter. The web application should appear and will display information about your location (actually, the location of your Amazon EC2 instance). This information is obtained from

Task 4 - Create an Amazon Machine Image - AMI

Now that your web application is configured on your instance, you will create an Amazon Machine Image (AMI) of it. An AMI is a copy of the disk volumes attached to an Amazon EC2 instance. When a new instance is launched from an AMI, the disk volumes will contain exactly the same data as the original instance.

This is an excellent way to clone instances to run an application on multiple instances, even across multiple Availability Zones.

In this task, you will create an AMI from your Amazon EC2 instance. You will later use this image to launch additional, fully-configured instances to provide a Highly Available solution.

  • Return to the web browser tab showing the EC2 Management Console.

  • Ensure that your Configuration Server is selected, and click Actions > Image > Create Image.
You will see that a Root Volume is currently associated with the instance. This volume will be copied into the AMI.

  • For Image name, type: Web application

  • Leave other values at their default settings and click Create Image.

  • Click Close.
The AMI will be created in the background and you will use it in a later step. There is no need to wait while it is being created.

Task 5 - Configure a Second Availability Zone

To build a highly available application, it is a best practice to launch resources in multiple Availability Zones. Availability Zones are physically separate data centers (or groups of data centers) within the same Region. Running your applications across multiple Availability Zones will provide greater availability in case of failure within a data center.

In this task, you will duplicate your network environment into a second Availability Zone. You will create:

  • A second public subnet
  • A second private subnet
  • A second NAT Gateway
  • A second private Route Table

Aws lab-Making your environment highly available3.jpg

Task 5-1 - Create a second Public Subnet
  • On the Services menu, click VPC.
  • In the left navigation pane, click Subnets.
  • In the row for Public Subnet 1, take note of the value for Availability Zone. (You might need to scroll sideways to see it.)
Note: The name of an Availability Zone consists of the Region name (eg us-west-2) plus a zone identifier (eg a). Together, this Availability Zone has a name of us-west-2a.

  • Click Create Subnet. In the Create Subnet dialog box, configure the following:
  • Name tag: Public Subnet 2
  • VPC: Lab VPC
  • Availability Zone: Choose a different Availability Zone from the existing Subnet (for example, if it was a, then choose b).
  • IPv4 CIDR block:
This will create a second Subnet in a different Availability Zone, but still within Lab VPC. It will have an IP range between and
  • Click Create.

  • Copy the Subnet ID to a text editor for later use, then click Close.
It should look similar to: subnet-abcd1234

  • Edit route table association:
  • With Public Subnet 2 selected, click the Route Table tab in the lower half of the window. (Do not click the Route Tables link in the left navigation pane.)
Here you can see that your new Subnet has been provided with a default Route Table, but this Route Table does not have a connection to your Internet gateway. You will change it to use the Public Route Table.
  • Click Edit route table association.
  • Try each Route Table ID in the list, selecting the one that shows a Target containing igw.
  • Click Save then click Close.
Because we have chosen a Route Table that has a connection to our Internet gateway, Public Subnet 2 is now a Public Subnet that can communicate directly with the Internet.

Task 5-2 - Create a Second Private Subnet

Your application will be deployed in private subnets for improved security. This prevents direct access from the Internet to the instances.

  • Click Create subnet. In the Create Subnet dialog box, configure the following:
  • Name tag: Private Subnet 2
  • VPC: Lab VPC
  • Availability Zone: Choose the same Availability Zone you just selected for Public Subnet 2.
  • IPv4 CIDR block:

  • Click Create and then click Close.
The Subnet will have an IP range between and

Task 5-3 - Create a Second NAT Gateway

A NAT Gateway (Network Address Translation) is provisioned into a public Subnet and provides outbound Internet connectivity for resources in a private Subnet. Your web application requires connectivity to the Internet to retrieve geographic information, so you will need to route Internet-bound traffic through a NAT Gateway.

To remain Highly Available, your web application must be configured such that any problems in the first Availability Zone should not impact resources in the second Availability Zone, and vice versa. Therefore, you will create a second NAT Gateway in the second Availability Zone.

  • In the left navigation pane, click NAT Gateways.
  • Click Create NAT Gateway.
  • For Subnet, enter the Subnet ID for Public Subnet 2 that you copied to a text editor earlier in the lab.
  • Click Create New EIP.
An Elastic IP Address (EIP) is a static IP address that will be associated with this NAT Gateway. The Elastic IP address will remain unchanged over the life of the NAT Gateway.

  • Click Create a NAT Gateway, then click Close.
You will now see two NAT Gateways.
Tip: If you only see one, click the refresh icon in the top-right until the second one appears.

  • The NAT Gateway that you just created will initially have a status of pending. Once it becomes available, you will see that it will have a private IP Address starting with 10.200.1.

  • Copy the NAT Gateway ID show in the first column, starting with nat-. Paste it into a text document for use in the next task.
You must now configure your network to use the second NAT Gateway.

Task 5-4 - Create a Second Private Route Table

A Route Table defines how traffic flows into and out of a Subnet. You will now create a Route Table for Private Subnet 2 that sends Internet-bound traffic through the NAT Gateway that you just created.

  • In the navigation pane, click Route Tables.

  • Click Create route table.

  • In the Create route table dialog box, configure the following:
  • Name tag: Private Route Table 2
  • VPC: Lab VPC

  • Click Create, then click Close.

  • Highlight the Private Route Table 2 that you just created, and click the Routes tab in the lower half of the window.
The Route Table currently only sends traffic within the VPC, as shown in the route table entry with the Target of local. You will now configure the Route Table to send Internet-bound traffic (identified with the wildcard through the second NAT Gateway.

  • Click Edit routes. Then Click Add route.
  • For Destination, type:
  • Click in the Target drop down list, and choose the NAT Gateway with the ID you copied earlier. (Check your text editor for the nat- ID you saved earlier.)
  • Click Save routes, then click Close.
You can now associate this Route Table (Private Route Table 2) with the second Private Subnet 2 that you created earlier.

  • With Private Route Table 2 still selected, click the Subnet Associations tab at the bottom of the screen.
  • Click Edit subnet associations.
  • Select (tick) the checkbox beside Private Subnet 2.
  • Click Save.
Private Subnet 2 will now route Internet-bound traffic through the second NAT Gateway.

Task 6 - Create an Application Load Balancer

In this task, you will create an Application Load Balancer that distributes requests across multiple Amazon EC2 instances. This is a critical component of a Highly Available architecture because the Load Balancer performs health checks on instances and only sends requests to healthy instances.

You do not have any instances yet -- they will be created by the Auto Scaling group in the next task.

Aws lab-Making your environment highly available4.jpg

  • On the Services menu, click EC2.

  • In the left navigation pane, click Load Balancers (you might need to scroll down to find it).

  • Click Create Load Balancer.
Several types of Load Balancers are displayed. Read the descriptions of each type to understand their capabilities.

  • Under Application Load Balancer, click Create.

  • For Name, type: LB1

  • Scroll down to the Availability Zones section.

  • For VPC, select Lab VPC.
You will now specify which subnets the Load Balancer should use. It will be an Internet-facing load balancer, so you will select both Public Subnets.

  • Click the first displayed Availability Zone, then click the Public Subnet displayed underneath.

  • Click the second displayed Availability Zone, then click the Public Subnet displayed underneath.
You should now have two subnets selected: Public Subnet 1 and Public Subnet 2. (If not, go back and try the configuration again.)

  • Click Next: Configure Security Settings.
A warning is displayed, which recommends using HTTPS for improved security. This is good advice, but is not necessary for this lab.

  • Click Next: Configure Security Groups.

  • Select the Security Group with a Description of Security group for the web servers (and deselect any other security group).
Note: This Security Group permits only HTTP incoming traffic, so it can be used on both the Load Balancer and the web servers.

  • Click Next: Configure Routing.
Target Groups define where to send traffic that comes into the Load Balancer. The Application Load Balancer can send traffic to multiple Target Groups based upon the URL of the incoming request. Your web application will use only one Target Group.

  • For Name, type: Group1

  • Click Advanced health check settings to expand it.
The Application Load Balancer automatically performs Health Checks on all instances to ensure that they are healthy and are responding to requests. The default settings are recommended, but you will make them slightly faster for use in this lab.

  • For Healthy threshold, type: 2

  • For Interval, type: 10
This means that the Health Check will be performed every 10 seconds and if the instance responds correctly twice in a row, it will be considered healthy.

  • Click Next: Register Targets.
Targets are instances that will respond to requests from the Load Balancer. You do not have any web application instances yet, so you can skip this step.

  • Click Next: Review.

  • Review the settings and click Create.

  • Click Close.
You can now create an Auto Scaling group to launch your Amazon EC2 instances.

Task 7 - Create an Auto Scaling Group

Auto Scaling is a service designed to launch or terminate Amazon EC2 instances automatically based on user-defined policies, schedules, and health checks. It also automatically distributes instances across multiple Availability Zones to make applications Highly Available.

In this task, you will create an Auto Scaling group that deploys Amazon EC2 instances across your Private Subnets. This is best practice security for deploying applications because instances in a private subnet cannot be accessed from the Internet. Instead, users will send requests to the Load Balancer, which will forward the requests to Amazon EC2 instances in the private subnets.

Aws lab-Making your environment highly available5.jpg

  • In the left navigation pane, click Auto Scaling Groups (you might need to scroll down to find it).

  • Click Create Auto Scaling group.

  • Click Get started.
A Launch Configuration defines what type of instances should be launched by Auto Scaling. The interface looks similar to launching an Amazon EC2 instance, but rather than launching an instance it stores the configuration for later use.
You will configure the Launch Configuration to use the AMI that you created earlier. It contains a copy of the software that you installed on the Configuration Server.

  • In the left navigation pane, click My AMIs.

  • In the row for Web application, click Select.

  • Accept the default (t2.micro) instance type and click Next: Configure details .

  • For Name, type: Web-Configuration

  • Click Next: Add Storage.
You do not require additional storage on this instance, so keep the default settings.

  • Click Next: Configure Security Group.

  • Click Select an existing security group.

  • Select the Security Group with a Description of Security group for the web servers.

  • Click Review.
You may receive a warning that you will not be able to connect to the instance via SSH. This is acceptable because the server configuration is already defined on the AMI and there is no need to login to the instance.

  • Click Continue to dismiss the warning.

  • Review the settings, then click Create launch configuration.

  • When prompted, accept the vockey keypair, select the acknowledgement check box, then click Create launch configuration.
You will now be prompted to create the Auto Scaling group. This includes defining the number of instances and where they should be launched.

  • In the Create Auto Scaling Group page, configure the following settings:
  • Group Name: Web application
  • Group Size: Start with 2 instances
  • Network: Lab VPC
  • Subnet: Click in the box and select both Private Subnet 1 and Private Subnet 2
Auto Scaling will automatically distribute the instances amongst the selected Subnets, with each Subnet in a different Availability Zone. This is excellent for maintaining High Availability because the application will survive the failure of an Availability Zone.

  • Click the Advanced Details heading to expand it.

  • Select (tick) the Load Balancing checkbox.

  • Click in Target Groups, then select Group1.

  • Click Next: Configure scaling policies.

  • Ensure Keep this group at its initial size is selected.
This configuration tells Auto Scaling to always maintain two instances in the Auto Scaling group. This is ideal for a Highly Available application because the application will continue to operate even if one instance fails. In such an event, Auto Scaling will automatically launch a replacement instance.

  • Click Next: Configure Notifications.
You will not be configuring any notifications.

  • Click Next: Configure Tags.
Tags placed on the Auto Scaling group can also automatically propagate to the instances launched by Auto Scaling.

  • For Key, type: Name

  • For Value, type: Web application

  • Click Review.

  • Review the settings, then click Create Auto Scaling group.

  • Click Close.
Your Auto Scaling group will initially show zero instances. This should soon update to two instances. (Click the refresh icon in the top-right to update the display.)
Your application will soon be running across two Availability Zones and Auto Scaling will maintain that configuration even if an instance or Availability Zone fails.

Task 8 - Test the Application

In this task, you will confirm that your web application is running and you will test that it is highly available.

  • In the left navigation pane, select Target Groups.

  • Click the Targets tab in the lower half of the window.
You should see two Registered instances. The Status column shows the results of the Load Balancer Health Check that is performed against the instances.

  • Occasionally click the refresh icon in the top-right until the Status for both instances appears as healthy.
If the status does not eventually change to healthy, ask your instructor for assistance in diagnosing the configuration. Hovering over the icon in the Status column will provide more information about the status.
You will be testing the application by connecting to the Load Balancer, which will then send your request to one of the Amazon EC2 instances. You will need to retrieve the DNS Name of the Load Balancer.

  • In the left navigation pane, click Load Balancers.

  • In the Description tab in the lower half of the window, copy the DNS Name to your clipboard, but do not copy "(A Record)". It should be similar to:

  • Open a new web browser tab, paste the DNS Name from your clipboard and hit Enter.
The Load Balancer forwarded your request to one of the Amazon EC2 instances. The Instance ID and Availability Zone are shown at the bottom of the web application.

  • Reload the page in your web browser. You should notice that the Instance ID and Availability Zone sometimes changes between the two instances.
The flow of information when displaying this web application is:

Aws lab-Making your environment highly available6.jpg

  • You sent the request to the Load Balancer, which resides in the public subnets that are connected to the Internet.
  • The Load Balancer chose one of the Amazon EC2 instances that reside in the private subnets and forwarded the request to it.
  • The Amazon EC2 instance requested geographic information from This request went out to the Internet through the NAT Gateway in the same Availability Zone as the instance.
  • The Amazon EC2 instance then returned the web page to the Load Balancer, which returned it to your web browser.

Task 9 - Test High Availability

Your application has been configured to be Highly Available. This can be proven by stopping one of the Amazon EC2 instances.

  • Return to the EC2 Management Console tab in your web browser (but do not close the web application tab - you will return to it soon).

  • In the left navigation pane, click Instances.
First, you do not require the Configuration Server any longer, so it can be terminated.

  • Select the Configuration Server.

  • Click Actions > Instance State > Terminate, then click Yes, Terminate.
Next, stop one of the Web application instances to simulate a failure.

  • Select one of the instances named Web application (it does not matter which one you select).

  • Click Actions > Instance State > Stop, then click Yes, Stop.
In a short time, the Load Balancer will notice that the instance is not responding and will automatically route all requests to the remaining instance.

  • Return to the Web application tab in your web browser and reload the page several times.
You should notice that the Availability Zone shown at the bottom of the page stays the same. Even though an instance has failed, your application remains available.
After a few minutes, Auto Scaling will also notice the instance failure. It has been configured to keep two instances running, so Auto Scaling will automatically launch a replacement instance.

  • Return to the EC2 Management Console tab in your web browser. Click the refresh icon in the top-right occasionally until a new Amazon EC2 instance appears.
After a few minutes, the Health Check for the new instance should become healthy and the Load Balancer will continue sending traffic between two Availability Zones. You can reload your Web application tab to see this happening.
This demonstrates that your application is now Highly Available.

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  • Connecting to Your Linux Instance Using SSH:
Permissions 0644 for 'amazonec2.pem' are too open.
It is recommended that your private key files are NOT accessible by others.
This private key will be ignored.
bad permissions: ignore key: amazonec2.pem
Permission denied (publickey).

The above error can be solved this way:


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Access the AWS Billing & Cost Management Dashboard:

Allow connections on HTTP 80, HTTPS 443 or other port

For example, if we host a website on an EC2 instance and want apache to serve the pages.

For HTTP 80, HTTPS 443 there are specific type of rules:

For any other port we can add a «Custom TCP» rule type:

Custom TCP Rule    TCP      8082

AWS inbound rule.png


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Tengo la opción VPS Classic 2:

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Add a subdomain

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You can access and configure your VPS via SSH (in case of a Linux operating system) or via Remote Desktop (in case of a Windows operating system) using the login details above.
Additionally you can connect to your VPS via VNC. This might be handy if, due to a wrong firewall configuration, for example, your server is not accessible normally anymore. In order to establish a VNC connection, you will need a VNC client such as UltraVNC. Since VNC is not an encrypted protocol, we recommend not to prefer it to SSH or Remote Desktop. Please always remember to log out before you close your VNC session. You can change the VNC password at any time within the customer control panel. Furthermore, you can disable the VNC access within the customer control panel.

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Each dedicated server and each VPS comes with a /64 IPv6 subnet in addition to its IPv4 address. You can use the addresses of such a subnet freely on the associated server/VPS. IPv6 is already preconfigured on our servers but has to be activated explicitly in some cases. You can find out how to activate IPv6 and further information on the subject in our tutorial:
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