- Scale, performance, and value. Run your workloads on Google's infrastructure, paying only for what you use.
- Flexibility and an Open Environment. Launch virtual machines with a variety of configurations using layer 3 load balancing to distribute work loads, or manage your workloads with additional solutions that were developed with our ecosystem of partners like RightScale , OpsCode , and Puppet Labs .
- Predictable Performance. Deploy your applications on an infrastructure designed for strong isolation of users' actions with access to consistently fast and dependable core technologies.
- Strong Security. Use built-in data privacy and security capabilities with data encryption on disk.
-
Sign up
- If you don't already have one, sign up for a Google account .
- Create a Compute Engine enabled project via the Google Developers Console .
-
Install the Cloud SDK
System requirements:
- Python 2.6.x or 2.7.x.
gcutil is distributed as part of the Cloud SDK , which contains tools and libraries for managing resources on Google Cloud Platform.
Installing on Linux or Mac OS X
-
Download and install the Cloud SDK.
You can download and install the Cloud SDK using the following command:
$ curl https://sdk.cloud.google.com | bash
Alternatively, if you do not want to use
curl
, you can download and unzip the package manually:- Download google-cloud-sdk.zip
-
Unzip the file:
$ unzip google-cloud-sdk.zip
-
Run the installation script:
$ ./google-cloud-sdk/install.sh
Follow the prompts to complete the setup. When prompted if you would like to update your system path, select
y
. -
Restart your terminal to allow changes to your
PATH
to take affect.You can also run
source ~/. <bash-profile-file>
if you want to avoid restarting your terminal. -
Authenticate
to the Google Cloud
platform by running:
$ gcloud auth login
Installing on Windows
- Download the Cloud SDK and install it .
-
Authenticate
to the Google Cloud platform by
running the following command:
gcloud auth login
-
Start a Google Compute Engine instance using gcloud compute .
-
Set your Compute Engine
project ID
.
$ gcloud config set project PROJECT
-
Create and start a virtual machine (VM) instance.
$ gcloud compute instances create example-instance
-
Log in to the instance.
$ gcloud compute ssh example-instance
-
Set your Compute Engine
project ID
.
What next?
- Review the Overview page.
- Try out the Quickstart example.
- Start using the Google Developers Console .
- Review the API prerequisites .