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Google Cloud Platform

Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
Google Cloud Platform, also known as GCP, consists of a set of physical assets, such as computers and hard disk drives, and virtual resources, such as virtual machines (VMs), that are contained in Google's data centers around the world.
Current regions and number of zones
6 Regions
Future regions and number of zones
18 Zones
Edged point of presence (>100) 100+ Points of presence
Leased and owned fiber 100k+ Miles of fiber
Each data center location
is in a global region.
Mitoc Group is one of the primary contributors to — the DevOps Hub for Terraform Automation

Why GCP?

TerraHub is a terraform centric user interface driven devops tool. Partnering with Google Cloud Platform allowed us to increase performance of time to market and decrease customers costs of migration and automation in the cloud.

Google Cloud Platform differs from other cloud providers in a variety of ways:


Google's security model is an end-to-end process, built on over 15 years of experience focused on keeping customers safe on Google applications like Gmail and Youtube. With GCP your applications and data take advantage of the same security model.

Global network

Google's backbone network has thousands of miles of fiber optic cable, uses advanced software-defined networking, and has edge caching services to deliver fast, consistent and scalable performance. In fact, we even laid our own fiber optic cable under the Pacific Ocean.


Google's data centers run on half the energy of a typical data center, and run on 100% renewable energy where available.

Billing by
the second

Google's Compute Engine instances are charged in one-second increments with a one-minute minimum, so you don't pay for compute minutes that you don't use.

Big data

Google's big data technology innovations like MapReduce, Bigtable, and Dremel, plus next-generation breakthrough services and frameworks for cloud data warehousing (BigQuery), advanced machine learning (Cloud Machine Learning Engine), batch and real-time data processing (Cloud Dataflow, Cloud Pub/Sub, Cloud Dataproc), intelligent data preparation (Cloud Dataprep) and stunning visual analytics (Google Data Studio) help you transform your business with powerful data insights. GCP big data analytics solutions are serverless, removing the complexity of building and maintaining a data analytics system, so you can accelerate your time-to-insight.