Curriculum Overview: Cloud Deployment Models

This curriculum provides a comprehensive guide to understanding how cloud infrastructure is provisioned and managed. It covers the four primary deployment models (Public, Private, Hybrid, and Community) and explores the service models (IaaS, PaaS, SaaS) that define the scope of user responsibility.

Prerequisites

Before starting this module, students should have a foundational understanding of:

• Basic Computing Concepts: Familiarity with servers, storage, and networking.
• Virtualization: A high-level understanding of how physical hardware is partitioned into virtual resources.
• Internet Protocol (IP): Basic knowledge of how data travels across networks.
• On-Premises Infrastructure: Understanding the traditional "data center" model where an organization owns and manages its own hardware.

Module Breakdown

Learning Objectives per Module

Module 1: Foundations

• Define cloud computing and its essential characteristics (Elasticity, Scalability).
• Explain the shift from Capital Expenditure (CapEx) to Operational Expenditure (OpEx).

Module 2: Service Models

• Differentiate between Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
• Identify the Shared Responsibility Model boundaries for each type.

Module 3: Deployment Models

• Compare and contrast Public, Private, Hybrid, and Community clouds.
• Determine the appropriate deployment model based on security, cost, and compliance requirements.

Module 4: Connectivity & Global Reach

• Define AWS Regions and Availability Zones (AZs).
• Describe methods for connecting on-premises environments to the cloud (e.g., AWS Direct Connect).

Success Metrics

To demonstrate mastery of this curriculum, students must be able to:

• Classify Scenarios: Correctly identify the deployment model used in 5 unique business case studies.
• Diagram Architecture: Draw a Hybrid Cloud architecture showing the link between a Private and Public cloud.
• Assess Responsibility: Correctly assign management tasks (e.g., patching OS vs. managing hardware) to either the provider or the customer based on the service model.
• Pass Assessment: Achieve a score of 80% or higher on the practice exam focused on Domain 3 of the AWS Certified Cloud Practitioner (CLF-C02) exam.

Real-World Application

Understanding these models is critical for several career paths:

• Cloud Architects: Must decide which model fits a company's regulatory needs (e.g., using a Private Cloud for sensitive healthcare data).
• Financial Analysts: Use these models to forecast cloud spend and identify cost-saving opportunities through Public cloud elasticity.
• Security Engineers: Determine where the security perimeter lies and which controls are managed by the vendor (like AWS) versus the internal team.

Examples Section

Case Studies in Deployment

[!TIP] Public Cloud Example: AWS A startup launches a new mobile app using Amazon EC2 and S3. They pay only for what they use and scale resources instantly as their user base grows. The infrastructure is shared with other customers but logically isolated.

[!NOTE] Hybrid Cloud Example: Financial Institution A bank keeps its sensitive "Core Banking System" on-premises (Private Cloud) for regulatory compliance but uses AWS (Public Cloud) to run its customer-facing web analytics and marketing tools. The two environments are linked via AWS Direct Connect.

[!IMPORTANT] Community Cloud Example: Cloud.gov A conglomerate of US government agencies shares a specific cloud environment managed by a third party to meet strict federal security standards (FedRAMP) that are shared across their specific mission requirements.

Summary of Responsibility (Service Models)

▶Click to expand: Definition of Elasticity vs. Scalability

• Scalability: The ability of a system to handle increased load by adding resources (growing larger).
• Elasticity: The ability to automatically acquire resources as you need them and release them when you don't (growing and shrinking dynamically).