Introduction to Google Cloud

Google Cloud Platform (GCP) is one of the world's leading cloud computing platforms. Built on the same infrastructure that Google uses for its own products — including Search, Gmail, YouTube, and Google Maps — GCP offers a comprehensive suite of cloud services spanning compute, storage, databases, networking, machine learning, data analytics, and developer tools.

What is Cloud Computing?

Cloud computing is the delivery of computing resources — servers, storage, databases, networking, software, and analytics — over the internet ("the cloud"). Instead of purchasing and maintaining physical hardware, organisations rent access to these resources from a cloud provider on a pay-as-you-go basis.

There are three primary service models in cloud computing:

Model	Description	Example
IaaS (Infrastructure as a Service)	You rent virtual machines, storage, and networks. You manage the OS upwards.	Compute Engine
PaaS (Platform as a Service)	The provider manages the OS and runtime. You deploy your code.	App Engine
SaaS (Software as a Service)	The provider delivers the full application. You consume it.	Google Workspace

These three models represent different levels of abstraction. IaaS gives you maximum control, SaaS gives you minimum management overhead, and PaaS sits in between.

What is Google Cloud Platform?

Google Cloud Platform is Google's public cloud offering. It was launched in 2008 with the introduction of App Engine, a platform for building and hosting web applications. Over the years, GCP has expanded dramatically and now offers over 200 products and services across virtually every category of cloud computing.

Key facts about Google Cloud:

It is the third-largest cloud platform globally, behind AWS and Azure
It operates in 40+ regions across more than 200 countries and territories
It supports a vast range of open-source technologies and multi-cloud strategies
It is renowned for data analytics, machine learning, and Kubernetes — Google invented Kubernetes and donated it to the CNCF
It powers some of the world's largest applications, including Spotify, Snapchat, and PayPal

Why Google Cloud?

Organisations choose Google Cloud for a variety of reasons:

Data and Analytics Leadership

Google Cloud is widely recognised as the leader in data analytics and big data. BigQuery, Google's serverless data warehouse, can analyse petabytes of data in seconds. The platform also offers Dataflow (stream and batch processing), Dataproc (managed Hadoop/Spark), and Looker (business intelligence).

Machine Learning and AI

Google is a pioneer in artificial intelligence. GCP provides Vertex AI for building and deploying ML models, pre-trained APIs for vision, language, and speech, and access to TPUs (Tensor Processing Units) — custom hardware designed for machine learning workloads.

Kubernetes and Containers

Google created Kubernetes, the industry-standard container orchestration platform. Google Kubernetes Engine (GKE) is widely considered the most mature and feature-rich managed Kubernetes service available.

Open Source and Multi-Cloud

Google Cloud embraces open-source technologies and actively supports multi-cloud and hybrid-cloud strategies. Anthos allows you to manage workloads across GCP, on-premises, and other clouds (AWS, Azure) using a consistent platform.

Global Network

Google operates one of the largest and most advanced private networks in the world. Traffic between GCP regions travels over Google's private fibre-optic backbone, reducing latency and increasing security compared to routing over the public internet.

GCP Service Categories at a Glance

GCP organises its 200+ services into broad categories:

Category	Examples
Compute	Compute Engine, App Engine, Cloud Functions, GKE, Cloud Run
Storage	Cloud Storage, Persistent Disk, Filestore
Networking	VPC, Cloud Load Balancing, Cloud CDN, Cloud Interconnect, Cloud DNS
Databases	Cloud SQL, Cloud Spanner, Firestore, Bigtable, AlloyDB
Data Analytics	BigQuery, Dataflow, Dataproc, Pub/Sub, Looker
AI & Machine Learning	Vertex AI, AutoML, Vision AI, Natural Language AI, TPUs
Security	IAM, Cloud KMS, Security Command Center, BeyondCorp Enterprise
DevOps	Cloud Build, Artifact Registry, Cloud Deploy, Cloud Source Repositories
Management	Cloud Console, Cloud Shell, Cloud Monitoring, Cloud Logging

You do not need to learn every service. This course focuses on the foundational concepts that underpin all of them.

How This Course is Structured

This course covers ten key areas of GCP fundamentals:

Introduction to Google Cloud — what GCP is and why it matters (this lesson)
GCP Global Infrastructure — regions, zones, and the Google network
Resource Hierarchy — organisations, folders, and projects
Cloud Console & Cloud Shell — navigating the web-based management tools
Billing & Cost Management — understanding and controlling spend
Cloud SDK & gcloud CLI — managing resources from the command line
Cloud Marketplace — deploying pre-built solutions
Support Plans & SLAs — getting help from Google
GCP Free Tier & Always Free — learning without spending
Getting Started with GCP Projects — creating your first project and deploying resources

Summary

Google Cloud Platform is a comprehensive cloud platform built on the same infrastructure that powers Google's own products. It excels in data analytics, machine learning, Kubernetes, and open-source technologies. With a global presence spanning 40+ regions and a commitment to multi-cloud strategies, GCP is trusted by organisations of all sizes — from startups to Fortune 500 companies. In the lessons that follow, you will learn the foundational concepts you need to navigate Google Cloud confidently.