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Course Outline
1. Migration Strategy and Business Drivers
- Motivations for cloud migration and success criteria.
- Migration patterns: rehost, replatform, refactor, repurchase, retire, and retain.
- Setting objectives, defining KPIs, and assigning organizational roles for migration programs.
2. Discovery, Assessment, and Planning
- Collecting inventory, mapping dependencies, and grouping applications.
- Evaluating cloud readiness and sizing target resources.
- Prioritizing applications, structuring 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, establishing landing zones, and setting baseline guardrails.
4. Server Migration with AWS Application Migration Service (MGN)
- Understanding MGN architecture, replication processes, and settings.
- Testing replicated servers, performing test cutover, and validating applications.
- Executing final cutover procedures, conducting post-cutover checks, and planning rollbacks.
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 devices, and secure network transfer.
6. Application Modernization and Refactoring Options
- Determining when to replatform or refactor using containers, serverless, and managed services.
- Design patterns for modernized architectures, such as microservices and event-driven designs.
- Gradual migration approaches, including the strangler pattern and hybrid coexistence.
7. Testing, Cutover, and Operational Readiness
- Defining test plans, performance benchmarking, and QA validation.
- Coordinating cutover, managing DNS, and executing traffic switch strategies.
- Developing operational runbooks, backup procedures, monitoring, and incident readiness.
8. Cost Optimization, Performance Tuning, and Post-Migration Tasks
- Rightsizing, utilizing savings plans, and maintaining cost governance post-migration.
- Performance tuning, autoscaling, and storage lifecycle management.
- Conducting post-migration reviews, creating optimization roadmaps, and documenting lessons learned.
9. Hands-on Workshop: End-to-End Migration Scenario
- Performing discovery and planning a migration wave for sample workloads.
- Replicating a server using MGN and executing a test cutover.
- Migrating a sample database with DMS and validating results.
- Completing the final cutover, validating services, and documenting outcomes.
Summary and Next Steps
Requirements
- A foundational understanding of IT infrastructure and networking concepts.
- Familiarity with virtualization technologies and operating systems (Windows/Linux).
- Basic knowledge of databases and storage concepts.
Target Audience
- Cloud architects and engineers.
- Infrastructure and operations teams.
- IT managers and project leads involved in migration planning.
21 Hours
Testimonials (2)
I've find out new interesting things about Lambda and Serverless
Oleg Buldumac - PUBLIC COURSE
Course - AWS Lambda for Developers
Everything in general.
