Google Cloud

Python

Google-branded cloud computing

The Google Cloud Platform is made up of various physical assets, such as computers and hard drives, and virtual resources, such as virtual machines (VMs), located in Google data centers around the world.

Each data center location is in a region. Regions are available in Asia, Australia, Europe, North America, and South America. Each region is a collection of zones, which are isolated from each other within the region. Each zone is identified by a name that combines an identifying letter with the name of the region.

Each Google Cloud project has the following: A project name, which is provided by the user, a project ID, which can be provided by the user or provided by Google Cloud itself, and a project number, which is provided by Google Cloud.

With Google Cloud you can create and run customizable virtual machines, automatically deploy, scale, and manage containers with Google Kubernetes Engine or Cloud Run, and migrate applications directly to virtual machines or automatically upgrade to containers, without having to rewrite code.