What Is Cloud Computing?

Cloud computing is the delivery of computing resources — servers, storage, databases, networking, and software — over the internet ("the cloud"). Instead of buying and maintaining physical servers, you rent them from providers like AWS, Azure, or Google Cloud, paying only for what you use.

This model transformed software development. A startup can now access the same infrastructure as Fortune 500 companies, scaling from zero to millions of users without upfront capital investment.

IaaS, PaaS, and SaaS Explained

Cloud services are categorized into three models:

  • IaaS (Infrastructure as a Service): Virtual machines, storage, networking. You manage the OS and software. Examples: EC2, Azure VMs, Compute Engine.
  • PaaS (Platform as a Service): Managed platforms for deploying applications. The provider manages infrastructure. Examples: Heroku, AWS Elastic Beanstalk, Google App Engine.
  • SaaS (Software as a Service): Complete applications delivered via browser. Examples: Gmail, Slack, Salesforce.

As a developer, you'll primarily work with IaaS and PaaS. Think of it as a spectrum: IaaS gives you maximum control but more responsibility; PaaS handles infrastructure so you focus on code.

Amazon Web Services (AWS)

AWS is the largest cloud provider with 32% market share and 200+ services. It's the default choice for most startups and enterprises.

  • Strengths: Broadest service catalog, most regions/availability zones, strongest marketplace
  • Key services: EC2 (compute), S3 (storage), Lambda (serverless), RDS (databases), CloudFront (CDN)
  • Free tier: 12 months of limited free access to 100+ services
  • Best for: Startups, web applications, any workload without specific ecosystem requirements

Microsoft Azure

Azure is the enterprise favorite with deep Microsoft integration and 23% market share.

  • Strengths: Seamless Active Directory, Office 365, and.NET integration; strong hybrid cloud
  • Key services: Azure VMs, Blob Storage, Azure Functions, Cosmos DB, Azure DevOps
  • Free tier: $200 credit for 30 days + 12 months of popular services free
  • Best for: Enterprise, Microsoft-ecosystem shops, hybrid cloud deployments

Google Cloud Platform (GCP)

GCP leads in AI/ML and data analytics with 11% market share but the fastest growth rate.

  • Strengths: Best-in-class AI/ML (Vertex AI, TPUs), BigQuery for analytics, Kubernetes (they invented it)
  • Key services: Compute Engine, Cloud Storage, Cloud Functions, BigQuery, Cloud Run
  • Free tier: $300 credit for 90 days + always-free tier for lightweight workloads
  • Best for: AI/ML workloads, data-intensive applications, Kubernetes-native architectures

How to Choose Your Cloud Provider

Use this decision framework:

  • Microsoft shop? → Azure (Active Directory,.NET, Office 365 integration)
  • AI/ML heavy? → GCP (Vertex AI, TPUs, BigQuery)
  • No strong preference? → AWS (largest ecosystem, most tutorials, broadest hiring pool)
  • Zero budget? → Oracle Cloud Always Free (most generous permanent free tier) — see our Oracle Free VPS guide

For learning, start with one provider and learn the fundamentals. Cloud concepts (networking, IAM, storage) transfer between providers.

Your First Cloud Project

Start with a simple project: deploy a static website or a basic API. Here's a typical learning path:

  1. Sign up for a free tier account
  2. Deploy a static website to S3/Cloud Storage/Blob Storage
  3. Set up a virtual machine and SSH into it
  4. Deploy a containerized app with Docker
  5. Set up a managed database and connect your application
  6. Implement a serverless function (Lambda/Cloud Functions/Azure Functions)
  7. Add a CI/CD pipeline for automated deployments

Cloud computing is a foundational skill in 2026. Whether you're building a side project or architecting an enterprise platform, understanding cloud services gives you the tools to build, scale, and operate software at any level. Practice cloud-related code in CoderFile's online editor.