Google Cloud Platform (GCP) is a cloud computing service that runs on the same infrastructure that Google utilizes for its end-user products, including Google Search, Gmail, Google Drive, and YouTube. It offers modular cloud services such as computing, data storage, analytics, and machine learning.
Google Cloud offers over 100 products, from storage and databases to networking and security services. Cloud Pub/Sub - A message queue-based scalable event ingestion service. Cloud Data Studio is a business intelligence application that uses dashboards and reports to view data. Cloud Talent Solution (previously Cloud Job Discovery) - A recruiting ecosystem service built on Google's search and machine learning capabilities. Cloud Shell - A browser-based command-line interface for managing Google Cloud Platform resources.
Cloud IoT Core – Internet of Things device connection and management service. This product is currently in private beta as of September 2018. Maps Platform - Google Maps-based APIs for maps, routes, and locations. Access Transparency - Near-real-time audit records provide Google Cloud Platform managers with visibility.
Knowing what's available and how the pieces fit together might help you decide how to use Google Cloud. The list of Google Cloud services is extensive and constantly expanding. You may combine these services to create the architecture you want and then add code to allow the scenarios you wish to construct. The extent of an activity changes based on the resources at your disposal. Creating a network is a worldwide process, but reserving an IP address is a localized operation.
A global network may contain region-specific resources such as virtual machines (VMs) and drives. Resources within a single project can simply collaborate by communicating over an internal network. Google Cloud provides three methods for interacting with its services and resources. The Google Cloud console has a web-based graphical user interface. You may start a new project or select an existing one and then use the resources you produce within that project.
Multiple projects' resource use might be invoiced to the same account. In a terminal window, the gcloud command line (CLI) allows you to control development and Google Cloud resources. For example, in the shell environment, perform the gcloud compute instances build command to construct a Compute Engine virtual machine (VM). You do not need to install anything on your computer because it operates in a browser.
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