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Kickstart Your Cloud Career: A Beginner’s Guide to AZ-900 – Series 3

1. Infrastructure as a Service (IaaS)

Infrastructure as a Service (IaaS) is the most flexible cloud service, giving you maximum control over computing resources. In IaaS, the cloud provider manages the physical hardware, network connectivity, and data center security. Everything else—including operating systems, applications, databases, and network configurations—is your responsibility. Essentially, you are renting virtual hardware in the cloud, and how you use it is up to you.

Shared Responsibility

  • Provider: Physical infrastructure, network access, and data center security.

  • User: Operating system, applications, patches, configuration, and security.

Examples

  • Microsoft Azure Virtual Machines

  • Amazon EC2 (Elastic Compute Cloud)

  • Google Compute Engine (GCE)

Common Use Cases

  • Lift-and-shift migrations: Move existing on-premises applications to the cloud without redesigning them.

  • Development and testing environments: Quickly deploy or remove environments as needed while maintaining full control.

  • High-performance computing: Running resource-intensive workloads like simulations, scientific computing, or big data analytics.

  • Backup and disaster recovery: Quickly replicate infrastructure for failover purposes.

2. Platform as a Service (PaaS)

Platform as a Service (PaaS) provides a ready-to-use platform for developing, testing, and deploying applications without managing the underlying infrastructure. The cloud provider handles the hardware, network, OS, middleware, and runtime environment, so you can focus on your code and business logic.

Shared Responsibility

  • Provider: Physical infrastructure, network, OS, runtime, and middleware.

  • User: Application code, data, and user access management.

Examples

  • Microsoft Azure App Service

  • Google App Engine

  • Heroku

Common Use Cases

  • Application development: Build and deploy web apps or APIs quickly without worrying about the underlying infrastructure.

  • Analytics and business intelligence: Use tools for data processing, visualization, and forecasting.

  • IoT applications: Collect and process data from IoT devices efficiently.

  • Microservices architectures: Run containerized applications and services using built-in orchestration tools.

3. Software as a Service (SaaS)

Software as a Service (SaaS) delivers fully developed applications over the internet, ready to use. The provider manages everything from infrastructure to application updates. Users only need to manage their data, users, and access. SaaS requires minimal technical expertise and is quick to deploy.

Shared Responsibility

  • Provider: Everything, including software, infrastructure, security, updates, and patches.

  • User: Data input, user access, and devices used to access the service.

Examples

  • Microsoft 365 (Word, Excel, Teams, Outlook)

  • Google Workspace (Gmail, Docs, Drive)

  • Salesforce CRM

  • Zoom, Slack

Common Use Cases

  • Email and messaging platforms

  • Productivity tools and collaboration applications

  • Customer Relationship Management (CRM) systems

  • Accounting, finance, and expense tracking software

  • E-commerce platforms for small businesses

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4. Choosing the Right Cloud Service

Cloud ServiceIdeal Use CasesExamples
IaaSLift-and-shift migrations, development and test environments, high-performance computing, backup, and disaster recoveryAzure VMs, AWS EC2, Google Compute Engine
PaaSApplication development, analytics, business intelligence, IoT apps, microservicesAzure App Service, Google App Engine, Heroku
SaaSReady-to-use applications, email, collaboration, CRM, and finance trackingMicrosoft 365, Google Workspace, Salesforce, Zoom

Key Takeaways

  • IaaS: Maximum control, you manage most of the stack.

  • PaaS: Focus on your applications while the provider manages the platform.

  • SaaS: Minimal effort, provider handles everything except your data and access.

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