Course Outline

1. Migration Strategy and Business Drivers

  • Cloud migration motivations and success criteria
  • Migration patterns: rehost, replatform, refactor, repurchase, retire, retain
  • Defining objectives, KPIs, and organizational roles for migration programs

2. Discovery, Assessment, and Planning

  • Inventory collection, dependency mapping, and application grouping
  • Assessing cloud readiness and sizing target resources
  • Prioritizing applications, building migration waves, and risk assessment

3. Network, Security, and Landing Zone Considerations

  • VPC design, connectivity options (VPN, Direct Connect), and hybrid patterns
  • Identity, access, encryption, and governance during migration
  • Account strategy, landing zones, and baseline guardrails

4. Server Migration with AWS Application Migration Service (MGN)

  • MGN architecture, replication, and replication settings
  • Testing replicated servers, performing test cutovers, and validating applications
  • Final cutover procedures, post-cutover checks, and rollback planning

5. Database Migration and Data Transfer

  • DMS concepts: full load, change data capture (CDC), and continuous replication
  • Schema conversion considerations and data validation strategies
  • Bulk transfer options: DataSync, Snow family, and secure network transfer

6. Application Modernization and Refactoring Options

  • When to replatform or refactor: containers, serverless, and managed services
  • Design patterns for modernized architectures (microservices, event-driven)
  • Gradual migration approaches: strangler pattern and hybrid coexistence

7. Testing, Cutover, and Operational Readiness

  • Defining test plans, performance benchmarking, and QA validation
  • Cutover coordination, DNS, and traffic switch strategies
  • Operational runbooks, backup, monitoring, and incident readiness

8. Cost Optimization, Performance Tuning, and Post-Migration Tasks

  • Rightsizing, savings plans, and cost governance after migration
  • Performance tuning, autoscaling, and storage lifecycle management
  • Post-migration review, optimization roadmap, and lessons learned documentation

9. Hands-on Workshop: End-to-End Migration Scenario

  • Perform discovery and plan a migration wave for sample workloads
  • Replicate a server with MGN and execute a test cutover
  • Migrate a sample database with DMS and validate results
  • Complete final cutover, validate services, and document outcomes

Summary and Next Steps

Requirements

  • A basic understanding of IT infrastructure and networking
  • Familiarity with virtualization and operating systems (Windows/Linux)
  • Basic knowledge of databases and storage concepts

Audience

  • Cloud architects and engineers
  • Infrastructure and operations teams
  • IT managers and project leads planning migrations
 21 Hours

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