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Course Outline
1. Migration Strategy and Business Drivers
- Drivers for cloud migration and criteria for success.
- Migration patterns: rehost, replatform, refactor, repurchase, retire, retain.
- Setting objectives, defining KPIs, and assigning 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, constructing migration waves, and performing risk assessments.
3. Network, Security, and Landing Zone Considerations
- VPC design, connectivity options (VPN, Direct Connect), and hybrid integration patterns.
- Identity management, access control, encryption, and governance during migration.
- Account strategy, landing zones, and baseline security guardrails.
4. Server Migration with AWS Application Migration Service (MGN)
- MGN architecture, replication mechanisms, and configuration settings.
- Testing replicated servers, performing test cutovers, and validating application functionality.
- Final cutover procedures, post-cutover verification, 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 devices, and secure network transfers.
6. Application Modernization and Refactoring Options
- When to replatform or refactor: containers, serverless architectures, and managed services.
- Architectural patterns for modernized systems (microservices, event-driven designs).
- Incremental migration approaches: strangler fig pattern and hybrid coexistence.
7. Testing, Cutover, and Operational Readiness
- Developing test plans, performance benchmarking, and QA validation.
- Coordinating cutover activities, managing DNS, and executing traffic switch strategies.
- Operational runbooks, backup procedures, monitoring, and incident response readiness.
8. Cost Optimization, Performance Tuning, and Post-Migration Tasks
- Rightsizing, savings plans, and cost governance post-migration.
- Performance tuning, autoscaling configurations, and storage lifecycle management.
- Post-migration reviews, optimization roadmaps, and documentation of 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
- Fundamental understanding of IT infrastructure and networking concepts.
- Familiarity with virtualization technologies and operating systems (Windows/Linux).
- Basic knowledge of database and storage principles.
Target Audience
- Cloud architects and engineers.
- Infrastructure and operations teams.
- IT managers and project leads overseeing migration initiatives.
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.
