Cloud Computing Fundamentals: IaaS, PaaS, SaaS, and Deployment Models
Introduction
Cloud computing means renting computing resources, such as servers, storage, databases, and networking, over the internet and paying for what you use instead of buying hardware. This first lesson of the cloud course explains the core ideas and shows how the three big providers name equivalent services, so skills transfer between them.
Prerequisites
- No cloud experience needed
- Basic understanding of what servers and databases are
Step-by-Step Guide
Step 1: Learn what makes it "cloud"
The cloud is defined by a few properties: you get resources on demand through self-service, you can scale them up and down quickly (elasticity), capacity is pooled and shared among customers, and usage is metered so you pay for what you consume. This turns large upfront hardware purchases into an operating cost that follows demand.
Step 2: Know the service models
Infrastructure as a Service (IaaS) gives you virtual machines, storage, and networks that you configure yourself. Platform as a Service (PaaS) runs your code for you without managing servers, such as managed web app hosting and databases. Software as a Service (SaaS) is a finished application you just use, like email or a CRM. Serverless, or function as a service, is a form of PaaS where code runs only when triggered and you do not manage capacity at all. The higher up you go, the less you manage and the less control you have.
Step 3: Know the deployment models
A public cloud shares provider infrastructure among many customers, which is what AWS, Azure, and Google Cloud offer. A private cloud is dedicated to one organization. A hybrid cloud connects on-premises systems with a public cloud. Multi-cloud means using more than one provider. Most organizations end up hybrid or multi-cloud for regulatory, cost, or historical reasons.
Step 4: Understand regions and availability zones
A region is a geographic area that contains several data centers. Regions are divided into availability zones, which are separate locations with independent power and networking. You choose a region for latency, legal requirements, and cost, and you spread workloads across zones so one failure does not take everything down.
Step 5: Map the equivalent services
Each provider uses different names for similar building blocks. Learning one makes the others much easier. Service names evolve, so confirm current names in each provider's documentation.
Building block AWS Azure Google Cloud
------------------ ------------------ ------------------------- ------------------------
Virtual machines EC2 Virtual Machines Compute Engine
Object storage S3 Blob Storage Cloud Storage
Serverless code Lambda Azure Functions Cloud Run functions
Containers (PaaS) App Runner / ECS Container Apps Cloud Run
Managed SQL RDS Azure SQL Database Cloud SQL
Identity & access IAM Entra ID + Azure RBAC Cloud IAM
Virtual network VPC Virtual Network VPC
Monitoring CloudWatch Azure Monitor Cloud MonitoringFAQs
- Is the cloud always cheaper than running my own servers?
- Not automatically. It removes upfront costs and lets you match spending to demand, but poorly managed cloud usage can cost more than owned hardware. Cost management is a skill, covered in a later lesson.
- Which cloud provider should I learn first?
- The concepts transfer, so pick the one your employer or target jobs use, or start with the one with the most learning material for you. After one, the others take far less time.
Summary
Cloud computing is on-demand, elastic, metered infrastructure. Learn the service models (IaaS, PaaS, SaaS, serverless), the deployment models, regions and zones, and the equivalent services across providers, and the rest of cloud learning builds on that.
Related tutorials
- Google Cloud Storage Basics: Buckets, Objects, and Access Control
- Google Cloud Getting Started: Projects, IAM, and the gcloud CLI
- Azure Blob Storage Basics: Accounts, Containers, and Secure Access
- Azure Getting Started: Subscriptions, Resource Groups, and the Azure CLI
- Amazon S3 Basics: Buckets, Objects, Versioning, and Safe Sharing
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