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  • Fast, scalable, highly available object store. Store your data with pay-as-you-go pricing that scales as your needs grow. Objects can be terabytes in size and stored in the United States, European Union, or Asia.

  • Your data in the cloud. Access your data with an HTTP API, a web-based interface, a command line tool, or one of many language libraries. Serve static data directly from Cloud Storage or store data that you can use with App Engine , Compute Engine , BigQuery , Cloud SQL , and Prediction API .

  • Easy, flexible authentication and sharing. Supports OAuth 2.0 authentication, individual, project, or group-level access controls, and customizable default object ACLs.

Try it now
  1. Sign up

    1. If you don't already have one, sign up for a Google account .
    2. Create a Google Cloud Storage enabled project via the Google Cloud Console .
  2. Install gsutil

    gsutil is a command line tool that you can use to access Google Cloud Storage. It requires Python 2.6.x or 2.7.x.

    Installing on Linux or Mac OS X

    1. Download and install gsutil.

      Download and extract gsutil into your HOME directory using the following command:

      $ curl | tar xvz -C "$HOME"
    2. Add gsutil to your path.

      Add the following line to your ~/.bashrc file on Linux or to your ~/.bash_profile on Mac OS X, and restart your terminal for the changes to take effect.

      export PATH="$PATH:~/gsutil"
    3. Authenticate to the Google Cloud platform.

      When prompted for a project ID, use the one you created in Step 1.

      $ gsutil config

    Installing on Windows

    1. Download and install Python .

      We recommend that you install Python in its default location (e.g., C:\Python27 ).

    2. Download and extract the gsutil archive.

      Download the gsutil archive , and then extract it to your root directory (e.g., C:\gsutil ).

    3. Open a command window and modify the PATH variable temporarily to add the location where you installed Python.
      set PATH=%PATH%;C:\Python27
    4. In the same command window, change the directory to where gsutil is installed, and authenticate to the Google Cloud platform.

      When prompted for a project ID, use the one you created in Step 1.

      cd \gsutil
      python gsutil config
  3. Create a Google Cloud Storage bucket using gsutil

    1. Create a bucket.
      $ gsutil mb gs://<bucket-name>
    2. Upload some data to the bucket.
      $ echo 'hello world' > foo.txt
      $ gsutil cp foo.txt gs://<bucket-name>
    3. View the contents of the bucket.
      $ gsutil ls gs://<bucket-name>
    4. Download and output the data.
      $ gsutil cp gs://<bucket-name>/foo.txt -
  4. What next?

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