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Course Outline
1. Migration Strategy and Business Drivers
- Understanding cloud migration motivations and defining success criteria
- Exploring migration patterns: rehost, replatform, refactor, repurchase, retire, and retain
- Setting objectives, KPIs, and defining organisational roles for migration programmes
2. Discovery, Assessment, and Planning
- Gathering inventory, mapping dependencies, and grouping applications
- Evaluating cloud readiness and sizing target resources
- Prioritising applications, structuring migration waves, and assessing risks
3. Network, Security, and Landing Zone Considerations
- VPC design, connectivity options (VPN, Direct Connect), and hybrid architectures
- Managing identity, access, encryption, and governance during the migration process
- Account strategies, landing zones, and establishing baseline guardrails
4. Server Migration with AWS Application Migration Service (MGN)
- MGN architecture, replication mechanics, and configuration settings
- Testing replicated servers, conducting test cutovers, and validating application functionality
- Final cutover procedures, post-cutover verification, and rollback planning
5. Database Migration and Data Transfer
- DMS concepts: full loads, change data capture (CDC), and continuous replication
- Schema conversion considerations and data validation strategies
- Bulk transfer options: DataSync, Snow family services, and secure network transfers
6. Application Modernization and Refactoring Options
- Deciding when to replatform or refactor: containers, serverless, and managed services
- Design patterns for modernised architectures (microservices, event-driven systems)
- Gradual migration approaches: the strangler pattern and hybrid coexistence
7. Testing, Cutover, and Operational Readiness
- Developing test plans, performance benchmarking, and QA validation
- Coordinating cutovers, DNS management, and traffic switching strategies
- Operational runbooks, backup strategies, monitoring, and incident preparedness
8. Cost Optimization, Performance Tuning, and Post-Migration Tasks
- Rightsizing resources, utilising savings plans, and governing costs post-migration
- Performance tuning, autoscaling, and storage lifecycle management
- Post-migration reviews, optimisation roadmaps, and documenting lessons learned
9. Hands-on Workshop: End-to-End Migration Scenario
- Conduct discovery and plan a migration wave for sample workloads
- Replicate a server using MGN and execute a test cutover
- Migrate a sample database using DMS and validate the results
- Finalise the cutover, verify services, and document the outcomes
Summary and Next Steps
Requirements
- Foundational knowledge of IT infrastructure and networking
- Experience with virtualization and operating systems (Windows/Linux)
- Basic understanding of database and storage principles
Audience
- Cloud architects and engineers
- Infrastructure and operations teams
- IT managers and project leads overseeing migration initiatives
21 Hours
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