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Course Outline
1. Migration Strategy and Business Drivers
- Cloud migration motivations and success criteria
- Migration patterns: rehost, replatform, refactor, repurchase, retire, retain
- Defining objectives, KPIs, and 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, building migration waves, and risk assessment
3. Network, Security, and Landing Zone Considerations
- VPC design, connectivity options (VPN, Direct Connect), and hybrid patterns
- 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, and replication settings
- Testing replicated servers, performing test cutovers, and validating applications
- Final cutover procedures, post-cutover checks, 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
- 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
- Defining test plans, performance benchmarking, and QA validation
- Cutover coordination, DNS, and traffic switch strategies
- Operational runbooks, backup, 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 review, optimization roadmap, and lessons learned documentation
9. Hands-on Workshop: End-to-End Migration Scenario
- Perform discovery and plan a migration wave for sample workloads
- Replicate a server with MGN and execute a test cutover
- Migrate a sample database with DMS and validate results
- Complete final cutover, validate services, and document outcomes
Summary and Next Steps
Requirements
- A basic 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 planning migrations
21 Hours
Testimonials (5)
Amount of Information, Exercises
Lukasz Kowalski - Sii Sp. z o.o.
Course - AWS IoT Core
Machine Translated
The trainer knew exactly what they were speaking about.
Madumetsa Msomi - BMW
Course - AWS DevOps Engineers
All good, nothing to improve
Ievgen Vinchyk - GE Medical Systems Polska Sp. Z O.O.
Course - AWS Lambda for Developers
IOT applications
Palaniswamy Suresh Kumar - Makers' Academy
Course - Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
Later the balance between theory and practice was much better. But the beginnings were terrible. The way of expressing (language) is very calm, understandable, in a human way.
Lukasz Derkowski - NetworkedAssets Sp. z o.o.
Course - AWS CloudFormation
Machine Translated
