Curriculum Overview: AWS Migration Strategies and Data Transfer

This curriculum covers the essential strategies and services required to migrate data and applications to the AWS Cloud, specifically focusing on the AWS Certified Cloud Practitioner (CLF-C02) requirements. It explores the AWS Cloud Adoption Framework (CAF), the AWS Snow Family, and AWS Database Migration Service (DMS).

Prerequisites

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

• Cloud Concepts: Basic understanding of High Availability, Scalability, and Elasticity.
• AWS Storage: Familiarity with Amazon S3 (buckets and objects) and Amazon EBS.
• AWS Databases: Basic knowledge of Relational (RDS) vs. Non-Relational (NoSQL) databases.
• Networking: General understanding of bandwidth and internet transfer speeds.

Module Breakdown

Learning Objectives per Module

Module 1: Cloud Transformation Journey (AWS CAF)

• Explain the Align, Launch, and Scale phases of cloud migration.
• Identify how cross-organizational dependencies affect migration speed.

Module 2: The AWS Snow Family

• Determine when to use a physical device vs. network transfer ($1 Gbps$connection vs. $40 \text{ TB}$ of data).
• Differentiate between Snowcone, Snowball, and Snowmobile capabilities.

Module 3: Database Migration

• Identify the role of the AWS Database Migration Service (DMS) in maintaining database uptime during migration.
• Understand how the Schema Conversion Tool (SCT) handles heterogeneous migrations (e.g., Oracle to Aurora).

Module 4: Replication & Strategy

• Distinguish between Multi-AZ (synchronous replication for high availability) and Read Replicas (asynchronous replication for performance).

Visual Anchors

Migration Strategy Decision Tree

The Snowball Shipping Process

Success Metrics

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

1. Calculate Transfer Time: Correctly identify that large datasets (e.g., 40TB+) are faster to ship physically than to upload over standard connections.
2. Tool Selection: Choose DMS for live replication and SCT for converting database code/schemas.
3. RPO Awareness: Define Recovery Point Objective (RPO) and explain how Multi-AZ replication keeps RPO under 5 minutes.
4. Phase Identification: Correctly assign business activities to the Align, Launch, or Scale phases of the CAF.

Real-World Application

[!IMPORTANT] Scenario: Data Center Decommissioning When a company closes its local data center, they often face "Data Gravity." Using AWS Snowball Edge, they can move petabytes of legacy records without clogging their production internet line, while AWS DMS migrates their active SQL Server environment to Amazon RDS with minimal downtime.

Case Study Examples

Example 1: The Terabyte Tipping Point

Suppose a firm has $40 TB$of data. On a $1 \text{ Gbps}$ connection, the theoretical transfer time is over 4 days. However, accounting for network overhead and congestion, it could take over a week.

• Strategy: Use AWS Snowball.
• Benefit: Fixed timeline and no impact on office internet performance.

Example 2: Heterogeneous Database Migration

A company wants to move from an on-premises Oracle database to Amazon Aurora (MySQL).

• Strategy:
  1. Use AWS SCT to convert the Oracle schema to MySQL.
  2. Use AWS DMS to move the data from the source to the target.
• Benefit: Automatically analyzes the source and recommends the best migration path.

Example 3: Minimizing Data Loss (RPO)

An application requires an RPO (Recovery Point Objective) of less than 5 minutes.

• Strategy: Enable Multi-AZ on the RDS instance.
• Benefit: Data is synchronously replicated to a standby instance in a different Availability Zone. If the primary fails, the standby is already up-to-date.

Resource Links

• AWS Cloud Adoption Framework (CAF) Overview
• AWS Snow Family Product Page
• AWS Database Migration Service Documentation