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Duration 21 hours
Course Outline
1. Migration Strategy and Business Drivers
- Motivations for cloud migration and defining success criteria.
- Migration patterns: rehost, replatform, refactor, repurchase, retire, retain.
- Establishing objectives, KPIs, and organizational roles for migration programs.
2. Discovery, Assessment, and Planning
- Gathering inventories, mapping dependencies, and grouping applications.
- Evaluating cloud readiness and sizing target resources.
- Prioritizing applications, constructing migration waves, and assessing risks.
3. Network, Security, and Landing Zone Considerations
- VPC design, connectivity options (VPN, Direct Connect), and hybrid patterns.
- Managing 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 mechanisms, and configuration settings.
- Testing replicated servers, executing test cutovers, and validating applications.
- Final cutover procedures, post-cutover verifications, 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
- Deciding 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
- Developing test plans, performance benchmarking, and QA validation.
- Coordinating cutovers, managing DNS, and implementing traffic switch strategies.
- Creating operational runbooks, backups, 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 reviews, optimization roadmaps, and documenting lessons learned.
9. Hands-on Workshop: End-to-End Migration Scenario
- Conducting discovery and planning a migration wave for sample workloads.
- Replicating a server with MGN and performing a test cutover.
- Migrating a sample database with DMS and validating the results.
- Completing the final cutover, verifying services, and documenting outcomes.
Summary and Next Steps
Requirements
- Foundational 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 overseeing migration initiatives.
Testimonials (1)
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