Getting started with Python on Compute Engine


This tutorial shows how to get started with Compute Engine. Follow this tutorial by deploying a Hello World Python web app to Compute Engine. For help getting started with App Engine, see the App Engine standard environment .

Objectives

  • Use Cloud Shell to download and deploy a Hello World sample app.
  • Deploy a Hello World sample app to a single Compute Engine instance.

Costs

In this document, you use the following billable components of Google Cloud:

To generate a cost estimate based on your projected usage, use the pricing calculator .

New Google Cloud users might be eligible for a free trial .

Before you begin

  1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
  2. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  3. Verify that billing is enabled for your Google Cloud project .

  4. Enable the Compute Engine API.

    Enable the API

  5. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  6. Verify that billing is enabled for your Google Cloud project .

  7. Enable the Compute Engine API.

    Enable the API

  8. In the Google Cloud console, open the app in Cloud Shell .

    Go to Cloud Shell

    Cloud Shell provides command-line access to your cloud resources directly from the browser.

  9. If you agree to clone the repository, click Confirmto download the sample code and change into the app directory.

  10. In Cloud Shell, configure the gcloud CLI to use your new Google Cloud project:
     # Configure gcloud for your project 
    gcloud  
    config  
     set 
      
    project  
     YOUR_PROJECT_ID 
    

Running the app in Cloud Shell

  1. In Cloud Shell, install your app dependencies using pip :

      pip3 
     install 
     - 
     r 
     requirements 
     . 
     txt 
     -- 
     user 
     
    
  2. Install the Gunicorn HTTP server :

      pip3 
     install 
     gunicorn 
     -- 
     user 
     
    
  3. Run the Gunicorn HTTP server:

      ~/. 
     local 
     / 
     bin 
     / 
     gunicorn 
     - 
     b 
     : 
     8080 
     main 
     : 
     app 
     
    
  4. In Cloud Shell, click Web preview, and select Preview on port 8080. This opens a new window with your running app.

  5. To stop the local web server, press Control+C .

Deploying to a single instance

This section walks you through running a single instance of your app on Compute Engine.

Single-instance deployment.

From Cloud Shell, you can deploy to a single Compute Engine instance virtual machine (VM) which runs your app.

Use a startup script to initialize an instance

You need a way to instruct your instance to download and run your code. An instance can have a startup script that runs whenever the instance is started or restarted.

  # Install or update needed software 
apt-get  
update
apt-get  
install  
-yq  
git  
supervisor  
python  
python-pip  
python3-distutils
pip  
install  
--upgrade  
pip  
virtualenv # Fetch source code 
 export 
  
 HOME 
 = 
/root
git  
clone  
https://github.com/GoogleCloudPlatform/getting-started-python.git  
/opt/app # Install Cloud Ops Agent 
sudo  
bash  
/opt/app/gce/add-google-cloud-ops-agent-repo.sh  
--also-install # Account to own server process 
useradd  
-m  
-d  
/home/pythonapp  
pythonapp # Python environment setup 
virtualenv  
-p  
python3  
/opt/app/gce/env
/bin/bash  
-c  
 "source /opt/app/gce/env/bin/activate" 
/opt/app/gce/env/bin/pip  
install  
-r  
/opt/app/gce/requirements.txt # Set ownership to newly created account 
chown  
-R  
pythonapp:pythonapp  
/opt/app # Put supervisor configuration in proper place 
cp  
/opt/app/gce/python-app.conf  
/etc/supervisor/conf.d/python-app.conf # Start service via supervisorctl 
supervisorctl  
reread
supervisorctl  
update 

The startup script performs these tasks:

  • Installs Python 3 and Pip.

  • Installs the Cloud Logging agent. The agent automatically collects logs from syslog.

  • Installs Supervisor to run the app as a daemon.

  • Clones the app's source code from the Cloud Source Repositories and installs dependencies.

  • Configures Supervisor to run the app. Supervisor makes sure the app is restarted if it exits unexpectedly or is terminated by an admin or other process. It also sends the app's stdout and stderr to syslog to be collected by the Logging agent.

Create and configure a Compute Engine instance

  1. Create a Compute Engine instance:

    Linux/macOS

      MY_INSTANCE_NAME 
     = 
     "my-app-instance" 
     ZONE 
     = 
    us-central1-a
    
    gcloud  
    compute  
    instances  
    create  
     $MY_INSTANCE_NAME 
      
     \ 
      
    --image-family = 
    debian-10  
     \ 
      
    --image-project = 
    debian-cloud  
     \ 
      
    --machine-type = 
    g1-small  
     \ 
      
    --scopes  
    userinfo-email,cloud-platform  
     \ 
      
    --metadata-from-file  
    startup-script = 
    startup-script.sh  
     \ 
      
    --zone  
     $ZONE 
      
     \ 
      
    --tags  
    http-server 
    

    Windows

      gcloud 
     compute 
     instances 
     create 
     my 
     - 
     app 
     - 
     instance 
     ^ 
     -- 
     image 
     - 
     family 
     = 
     debian 
     - 
     9 
     ^ 
     -- 
     image 
     - 
     project 
     = 
     debian 
     - 
     cloud 
     ^ 
     -- 
     machine 
     - 
     type 
     = 
     g1 
     - 
     small 
     ^ 
     -- 
     scopes 
     userinfo 
     - 
     email 
     , 
     cloud 
     - 
     platform 
     ^ 
     -- 
     metadata 
     - 
     from 
     - 
     file 
     startup 
     - 
     script 
     = 
     gce 
     / 
     startup 
     - 
     script 
     . 
     sh 
     ^ 
     -- 
     zone 
     us 
     - 
     central1 
     - 
     f 
     ^ 
     -- 
     tags 
     http 
     - 
     server 
     
    

    Replace the zone with a development zone, for example us-central1-a . For more information on regions and zones, see Geography and regions .

    This creates a new instance, allows it to access Google Cloud services, and runs your startup script. The instance name is my-app-instance .

  2. Check the progress of the instance creation:

    gcloud compute instances get-serial-port-output my-app-instance --zone YOUR_ZONE 
    

    Replace YOUR_ZONE with the zone you deployed your instance to.

    When the startup script is complete, you see the following message:

    startup-script: INFO Finished running startup scripts.
  3. Create a firewall rule to allow traffic to your instance:

      gcloud 
     compute 
     firewall 
     - 
     rules 
     create 
     default 
     - 
     allow 
     - 
     http 
     - 
     8080 
    \ -- 
     allow 
     tcp 
     : 
     8080 
    \ -- 
     source 
     - 
     ranges 
     0.0.0.0 
     / 
     0 
    \ -- 
     target 
     - 
     tags 
     http 
     - 
     server 
    \ -- 
     description 
     "Allow port 8080 access to http-server" 
     
    
  4. Get the external IP address of your instance:

      gcloud 
     compute 
     instances 
     list 
     
    
  5. To see your app running, enter this URL in your browser:

    http:// YOUR_INSTANCE_IP 
    :8080

    Replace YOUR_INSTANCE_IP with the external IP address of your instance.

Manage and monitor an instance

You can use the Google Cloud console to monitor and manage your instance.

  1. In the Google Cloud console, go to the VM instancespage.

    Go to VM instances

  2. In the list of virtual machine instances, click SSHin the row of the instance that you want to connect to.
  3. To view all of the logs generated by your Compute Engine resources, go to the Logs Explorer page.

    Go to Logs Explorer

    Cloud Logging is automatically configured to gather logs from various common services, including syslog .

Clean up

To avoid incurring charges to your Google Cloud account for the resources used in this tutorial, either delete the project that contains the resources, or keep the project and delete the individual resources.

Delete the project

  1. In the Google Cloud console, go to the Manage resources page.

    Go to Manage resources

  2. In the project list, select the project that you want to delete, and then click Delete .
  3. In the dialog, type the project ID, and then click Shut down to delete the project.

Delete the individual resources

gcloud  
compute  
instances  
delete  
my-app-instance  
--zone = 
 YOUR_ZONE 
  
--delete-disks = 
all
gcloud  
compute  
firewall-rules  
delete  
default-allow-http-8080

What's next

Design a Mobile Site
View Site in Mobile | Classic
Share by: