In cloud computing, service models define how resources and services are delivered to users.
The three primary service models are:
1. Infrastructure as a Service (IaaS)
Definition:
Provides virtualized computing resources over the internet. Users can rent servers, storage, and networking infrastructure without owning physical hardware.
Key Features:
- Complete control over infrastructure (OS, runtime, apps)
- Highly scalable and flexible
- Pay-as-you-go pricing
- Ideal for sysadmins, DevOps, and IT teams
Examples in AWS:
- 🖥️ Amazon EC2 – Virtual servers (compute)
- 💾 Amazon S3 – Object storage
- 🛜 Amazon VPC – Virtual networking
- 📦 Amazon EBS – Block storage
- 🔐 AWS IAM – Access control
✅ Use Case:
- Hosting web applications
- Running enterprise workloads
- Creating testing and development environments
2. Platform as a Service (PaaS)
Definition:
Provides a platform with pre-configured environments for building, testing, and deploying applications without managing underlying infrastructure.
Key Features:
- Developers focus on application logic, not infrastructure
- Auto-scaling and easy deployment
- Integrated development tools and frameworks
Examples in AWS:
- 🧱 AWS Elastic Beanstalk – Deploy and manage apps easily
- 🧪 AWS Lambda (serverless) – Run code without managing servers
- 🗄️ Amazon RDS – Managed relational database service
- 🔔 Amazon API Gateway – Build and manage APIs
✅ Use Case:
- Building scalable web apps quickly
- Continuous deployment pipelines
- Serverless application development
3. Software as a Service (SaaS)
Definition:
Delivers fully functional software over the internet on a subscription basis. The provider manages everything (infrastructure, platform, app, security).
Key Features:
- Ready-to-use applications
- No installation or maintenance
- Accessible from any device via browser
Examples in AWS:
- 💻 Amazon WorkMail – Business email service
- 🧑💼 Amazon Chime – Online meetings and communication
- 📊 Third-party SaaS apps hosted on AWS (e.g., Salesforce, Zoom)
✅ Use Case:
- Email services, CRM, collaboration tools
- Productivity and business software
🧭 Comparison Table
Feature | IaaS | PaaS | SaaS |
---|---|---|---|
Control Level | High (infra & OS) | Medium (app only) | Low (end-user access) |
Target User | IT Admin, DevOps | Developers | End Users |
Example in AWS | EC2, S3, VPC | Elastic Beanstalk, Lambda, RDS | WorkMail, Chime, Salesforce |
Scalability | Manual or auto scaling | Auto-scaling built-in | Provider managed |
Maintenance | User-managed | Shared | Provider-managed |
🏁 Additional Models (Emerging)
- Function as a Service (FaaS) — e.g., AWS Lambda (a part of PaaS but more fine-grained)
- Container as a Service (CaaS) — e.g., Amazon ECS and Amazon EKS
✅ Summary
- IaaS → You manage everything except hardware
- PaaS → You manage code and data only
- SaaS → You just use the software
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