Hello everyone, thanks for coming today! Ready to learn Google Compute Engine?
In this codelab, we will explore Compute Engine working through an example Guestbook application.
You'll create Compute Engine instances, deploy nginx, and finally put a network balancer in the front. You can create a Compute Engine instance from either the graphical console or from the command line. This lab will walk you through using the command-line.
Google Compute Engine (GCE) offers virtual machines running in Google's data centers connected to its worldwide fiber network. The tooling and workflow offered enables scaling from single instances to global, load-balanced cloud computing.
These VMs boot quickly, come with persistent disk storage, and deliver consistent performance. The machines are available in many configurations including predefined sizes and can also be created with Custom Machine Types optimized for your specific needs.
Finally, GCE virtual machines are also the technology used by several other GCP products (Kubernetes Engine, Cloud Dataproc, Cloud Dataflow, etc...).
If you don't already have a Google Account (Gmail or Google Apps), you must create one. Sign-in to Google Cloud Platform console (console.cloud.google.com) and create a new project:
Remember the project ID, a unique name across all Google Cloud projects (the name above has already been taken and will not work for you, sorry!). It will be referred to later in this codelab as
Next, you'll need to enable billing in the Cloud Console in order to use Google Cloud resources.
Running through this codelab shouldn't cost you more than a few dollars, but it could be more if you decide to use more resources or if you leave them running (see "cleanup" section at the end of this document).
New users of Google Cloud Platform are eligible for a $300 free trial.
While Google Cloud and Compute Engine can be operated remotely from your laptop, in this codelab we will be using Google Cloud Shell, a command line environment running in the Cloud.
This Debian-based virtual machine is loaded with all the development tools you'll need. It offers a persistent 5GB home directory, and runs on the Google Cloud, greatly enhancing network performance and authentication. This means that all you will need for this codelab is a browser (yes, it works on a Chromebook).
To activate Google Cloud Shell, from the developer console simply click the button on the top right-hand side (it should only take a few moments to provision and connect to the environment):
Click the "Start Cloud Shell" button:
Once connected to the cloud shell, you should see that you are already authenticated and that the project is already set to your
gcloud auth list
Credentialed accounts: - <myaccount>@<mydomain>.com (active)
gcloud config list project
[core] project = <PROJECT_ID>
Cloud Shell also sets some environment variables by default which may be useful as you run future commands.
If for some reason the project is not set, simply issue the following command :
gcloud config set project <PROJECT_ID>
Looking for your
PROJECT_ID? Check out what ID you used in the setup steps or look it up in the console dashboard:
IMPORTANT: Finally, set the default zone and project configuration:
gcloud config set compute/zone us-central1-f
You can choose a variety of different zones. Learn more in the Regions & Zones documentation.
As discussed previously we will use the
gcloud command- line in this codelab. Everything done here can be achieved using the console (available at console.cloud.google.com).
Let's first create an instance with default settings :
$ gcloud compute instances create myinstance Created [...]. NAME ZONE MACHINE_TYPE PREEMPTIBLE INTERNAL_IP EXTERNAL_IP STATUS myinstance us-central1-f n1-standard-1 10.240.X.X X.X.X.X RUNNING
Note down the
EXTERNAL_IP - that's important later on.
The instance is created using a number of defaults :
--zoneflag or you can set a default zone (as we did in the initial setup) and omit the
n1-standard-1machine type. You can select another machine type such as
n1-highcpu-6. If none of the predefined machine types match your needs, use a custom machine type.
gcloud compute instances create --help to see all the options that are available.
By default, Google Cloud Platform only allows few port accesses. Since we'll be installing Nginx soon - let's enable port 80 in the firewall configuration first.
$ gcloud compute firewall-rules create allow-80 --allow tcp:80 Created [...]. NAME NETWORK DIRECTION PRIORITY ALLOW DENY DISABLED allow-80 default INGRESS 1000 tcp:80 False
This will create a firewall rule named allow-80 that has a default list of IP address blocks that are allowed to make inbound connections (
--source-ranges) are set to
gcloud compute firewall-rules create --help to see all the defaults and all the options available, including the ability to apply a firewall rules based on tags.
To SSH into the instance from the command line (still from CloudShell) :
$ gcloud compute ssh myinstance Waiting for SSH key to propagate. Warning: Permanently added 'compute.12345' (ECDSA) to the list of known hosts. ... yourusername@myinstance:~#
That's it! pretty easy. (In production, make sure you enter a passphrase :)
Alternatively, you can also SSH into the instance directly from the console (console.cloud.google.com), by navigating to Compute Engine > VM Instances, and clicking on SSH.
Log into myinstance, the newly created instance, and install nginx:
$ sudo su - # apt-get update # apt-get install -y nginx # service nginx start # exit
Test that the server is running using
wget from myinstance:
$ wget -q -O - localhost:80 | grep nginx <title>Welcome to nginx!</title> <h1>Welcome to nginx!</h1> <p>If you see this page, the nginx web server is successfully installed and <a href="http://nginx.org/">nginx.org</a>.<br/> <a href="http://nginx.com/">nginx.com</a>.</p> <p><em>Thank you for using nginx.</em></p>
Find the external IP for your instance by listing your instances either via the web UI:
Make sure you exit from SSH, and run this command from the Cloud Shell:
$ gcloud compute instances list NAME ZONE MACHINE_TYPE PREEMPTIBLE INTERNAL_IP EXTERNAL_IP STATUS myinstance us-central1-f n1-standard-1 10.240.0.2 220.127.116.11 RUNNING
Then navigate to http://EXTERNAL_IP/ where
EXTERNAL_IP is the public IP of myinstance and you should be able to see the nginx page:
Rather than setting up the instance every time, you can use a startup script to initialize the instance upon startup.
Let's open up another Cloud Shell session by click
+ to add a new session tab:
A new session requires you to update the configuration again:
$ gcloud config set compute/zone us-central1-f $ gcloud config set compute/region us-central1
Create a file named
startup.sh with the following content (you can use your favorite text editor:
#! /bin/bash apt-get update apt-get install -y nginx service nginx start sed -i -- 's/nginx/Google Cloud Platform - '"$HOSTNAME"'/' /var/www/html/index.nginx-debian.html
To create a new GCE instance with this startup script simply type :
$ gcloud compute instances create nginx \ --metadata-from-file startup-script=startup.sh Created [...]. NAME ZONE MACHINE_TYPE PREEMPTIBLE INTERNAL_IP EXTERNAL_IP STATUS nginx us-central1-f n1-standard-1 10.X.X.X X.X.X.X RUNNING
http://EXTERNAL_IP/ and you should see the updated home page. If the page doesn't show immediately retry after a couple of seconds, the host might be still starting nginx.
To create a cluster of servers, you first need to create an Instance Template. Once an instance template is created, you can then create an instance group to manage the number of instances to create.
First, create an instance template using the startup script :
$ gcloud compute instance-templates create nginx-template \ --metadata-from-file startup-script=startup.sh Created [...]. NAME MACHINE_TYPE PREEMPTIBLE CREATION_TIMESTAMP nginx-template n1-standard-1 2015-11-09T08:44:59.007-08:00
Second, let's create a target pool. A target pool allows us to have a single access point to all the instances in a group and is necessary for load balancing in the future steps.
$ gcloud compute target-pools create nginx-pool Created [...]. NAME REGION SESSION_AFFINITY BACKUP HEALTH_CHECKS nginx-pool us-central1
Finally, create an instance group using the template:
$ gcloud compute instance-groups managed create nginx-group \ --base-instance-name nginx \ --size 2 \ --template nginx-template \ --target-pool nginx-pool Created [...]. NAME ZONE BASE_INSTANCE_NAME SIZE TARGET_SIZE GROUP INSTANCE_TEMPLATE AUTOSCALED nginx-group us-central1-f nginx 2 nginx-group nginx-template
This will create two additional GCE instances with names that are prefixed with
You should now be able to see all of the instances created!
$ gcloud compute instances list NAME ZONE MACHINE_TYPE PREEMPTIBLE INTERNAL_IP EXTERNAL_IP STATUS myinstance us-central1-f n1-standard-1 10.240.X.X X.X.X.X RUNNING nginx us-central1-f n1-standard-1 10.240.X.X X.X.X.X RUNNING nginx-7wvi us-central1-f n1-standard-1 10.240.X.X X.X.X.X RUNNING nginx-9mwd us-central1-f n1-standard-1 10.240.X.X X.X.X.X RUNNING
There are several types of load balancers in Google Cloud Platform including :
Let's create a regional network load balancer targeting our instance group:
$ gcloud compute forwarding-rules create nginx-lb \ --ports 80 \ --target-pool nginx-pool For the following forwarding rule: - [nginx-lb] choose a region or global:  global  region: asia-east1  region: asia-east2  region: asia-northeast1  region: asia-south1  region: asia-southeast1  region: australia-southeast1  region: europe-north1  region: europe-west1  region: europe-west2  region: europe-west3  region: europe-west4  region: northamerica-northeast1  region: southamerica-east1  region: us-central1  region: us-east1  region: us-east4  region: us-west1  region: us-west2 Please enter your numeric choice: 15 $ gcloud compute forwarding-rules list NAME REGION IP_ADDRESS IP_PROTOCOL TARGET nginx-lb us-central1 18.104.22.168 TCP us-central1/targetPools/nginx-pool
You can then visit the load balancer from the browser http://IP_ADDRESS/ where
IP_ADDRESS is the address shown as the result of running the previous command.
Due to the time, we will not be creating a HTTP load balancer today.
Don't forget to shut down your cluster, otherwise they'll keep running and accruing costs. The following commands will delete the Google Compute Engine instances, Instance Group, Targeting Group, and the Load Balancer.
$ gcloud compute forwarding-rules delete nginx-lb $ gcloud compute instance-groups managed delete nginx-group $ gcloud compute target-pools delete nginx-pool $ gcloud compute instance-templates delete nginx-template $ gcloud compute instances delete nginx $ gcloud compute instances delete myinstance $ gcloud compute firewall-rules delete allow-80
Each of the commands above should ask you to confirm the deletion of the resource.
Congratulations, you've completed this GCE codelab!
Google Compute Engine (GCE) has a rich set of features. You may want to dive into some of these :
Google Kubernetes Engine (GKE) is GCP's hosted and fully-managed Kubernetes offering. There are several codelabs available to help you start with GKE. Here's a good one to start with :