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Course Outline
1. Migration Strategy and Business Drivers
- Drivers for cloud migration and defining success metrics
- Migration patterns: rehost, replatform, refactor, repurchase, retire, retain
- Setting goals, KPIs, and assigning organizational roles for migration programs
2. Discovery, Assessment, and Planning
- Gathering inventory, mapping dependencies, and grouping applications
- Evaluating cloud readiness and sizing target resources
- Prioritizing applications, creating migration waves, and assessing risks
3. Network, Security, and Landing Zone Considerations
- VPC design, connectivity options (VPN, Direct Connect), and hybrid models
- Managing identity, access, encryption, and governance during migration
- Account strategy, 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, executing test cutovers, and verifying application functionality
- Procedures for final cutover, post-cutover verification, and rollback strategies
5. Database Migration and Data Transfer
- DMS fundamentals: full load, change data capture (CDC), and continuous replication
- Schema conversion considerations and data validation approaches
- Bulk transfer solutions: DataSync, Snow family, and secure network transfer
6. Application Modernization and Refactoring Options
- Determining when to replatform or refactor: leveraging containers, serverless, and managed services
- Design patterns for modernized architectures (microservices, event-driven)
- Incremental migration methods: the strangler pattern and hybrid coexistence
7. Testing, Cutover, and Operational Readiness
- Establishing test plans, performance benchmarking, and QA validation
- Coordinating cutover, managing DNS, and implementing traffic switching strategies
- Preparing operational runbooks, backups, monitoring, and incident response capabilities
8. Cost Optimization, Performance Tuning, and Post-Migration Tasks
- Rightsizing resources, implementing savings plans, and governing costs post-migration
- Performance tuning, autoscaling, and managing storage lifecycles
- Conducting post-migration reviews, developing optimization 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 perform a test cutover
- Migrate a sample database with DMS and verify the results
- Finalize cutover, validate services, and record outcomes
Summary and Next Steps
Requirements
- Foundational understanding of IT infrastructure and networking principles
- Experience with virtualization and operating systems (Windows/Linux)
- Basic comprehension of database and storage concepts
Target Audience
- Cloud architects and engineers
- Infrastructure and operations teams
- IT managers and project leaders overseeing migration initiatives
21 Hours
Testimonials (1)
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