Curriculum Overview: AWS Cloud Deployment Models

This curriculum provides a comprehensive breakdown of the deployment strategies available within the AWS ecosystem, focusing on the Cloud, Hybrid, and On-premises (Private Cloud) models. Understanding these is critical for the AWS Certified Cloud Practitioner (CLF-C02) exam, specifically within Content Domain 3.

Prerequisites

Before beginning this module, learners should have a foundational understanding of the following:

• Cloud Computing Basics: Familiarity with the definition of cloud computing and its primary benefits (e.g., agility, cost savings).
• Service Models: Basic knowledge of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
• Global Infrastructure: A high-level awareness that AWS operates in Regions and Availability Zones.

Module Breakdown

The curriculum is divided into three core modules, progressing from pure cloud environments to integrated and local setups.

Module Objectives

By the end of this curriculum, learners will be able to:

1. Define the three primary deployment models: Cloud, Hybrid, and On-premises.
2. Evaluate business requirements to determine which model fits a specific use case.
3. Identify connectivity options for hybrid environments, including AWS VPN and AWS Direct Connect.
4. Distinguish between Public, Private, and Community cloud infrastructures.

Success Metrics

Learners can measure their mastery through the following performance indicators:

• Categorization Accuracy: Ability to correctly classify a scenario (e.g., "Company A uses S3 for backups but keeps their database in a local data center") as Hybrid.
• Connectivity Selection: Identifying when to recommend AWS Direct Connect (private, high speed) versus AWS VPN (encrypted over public internet).
• Responsibility Mapping: Correctly identifying which party (AWS or Customer) manages hardware in an on-premises vs. cloud model.

[!IMPORTANT] For the CLF-C02 exam, remember that Hybrid is often described as the "typical first step" for legacy organizations adopting the cloud.

Examples Section

To bridge theory and practice, consider these real-world deployment scenarios:

• Full Cloud (Public): A startup launches a new mobile app entirely on AWS using Amazon S3 for storage and AWS Lambda for compute. They have no physical servers and scale automatically based on user traffic.
• Hybrid (Educational Video Platform): A company produces educational videos. They use on-premises servers for high-speed local editing and production but utilize AWS S3 for long-term archiving and Amazon CloudFront as a Content Delivery Network (CDN) to distribute videos globally with low latency.
• On-Premises (Private Cloud): A financial institution with strict regulatory requirements maintains all sensitive customer data on physical hardware in their own data center, using virtualization software to provide cloud-like agility to internal business units only.
• Community Cloud (cloud.gov): A multi-agency government initiative where several departments share a cloud environment tailored to specific security and compliance standards (e.g., FedRAMP).

Real-World Application

In professional environments, deployment models are chosen based on several "Real-World" drivers:

• Disaster Recovery (DR): Many companies use a Hybrid model where their primary production is on-premises, but they use AWS as a secondary "failover" site to ensure Business Continuity.
• Data Sovereignty: Organizations in specific countries may be legally required to keep data on physical hardware within national borders, necessitating an On-premises or Hybrid approach.
• Latency Optimization: Using a Hybrid model allows a company to keep latency-sensitive processing close to the end-user on-premises while using the cloud for massive data analytics.

Connectivity Visualization

This diagram illustrates how a Hybrid environment connects local resources to the AWS Cloud.

Comparison Table: Cloud vs. Hybrid vs. On-Premises