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Course Outline
Migration Strategy and Evaluation
- Business drivers and migration goals
- Migration patterns: rehost, replatform, refactor, replace
- Utilising the AWS Migration Readiness Assessment (MRA) and discovery tools
- Prioritising applications and developing a migration roadmap
Discovery, Inventory, and Planning
- Gathering inventory and mapping dependencies
- Estimating TCO and sizing AWS resources
- Risk assessment and cutover planning
- Designing migration waves and rollback strategies
Server Migration with AWS Application Migration Service (MGN)
- MGN architecture and migration workflow
- Replication settings, snapshot management, and bandwidth considerations
- Testing replicated servers and executing test cutovers
- Final cutover and validation procedures
Database Migration with AWS DMS
- DMS concepts: full load, CDC, and continuous replication
- Source/target considerations and schema conversion basics
- Reducing downtime and verifying data consistency
- Operational tasks: monitoring, performance tuning, and troubleshooting
Data Transfer, Networking, and Security
- Data transfer options: AWS DataSync, Snow family, and direct connections
- VPC design, routing, security groups, and connectivity for migration
- Identity, access controls, and encryption during migration
- Firewall, DNS, and cutover networking considerations
Testing, Cutover, and Post-Migration Operations
- Validation tests, performance benchmarking, and QA checks
- Rollback plans and contingency procedures
- Post-migration optimisation: right-sizing, autoscaling, and cost controls
- Operational runbooks, monitoring, and backup strategies
Hands-on Workshop: End-to-End Migration Scenario
- Execute discovery and plan a migration wave for sample workloads
- Replicate a server with MGN and conduct a test cutover
- Migrate a sample database with DMS and verify results
- Finalise cutover, validate services, and review lessons learned
Summary and Future Steps
Requirements
- Fundamental knowledge of IT infrastructure and networking
- Experience with virtualisation and operating systems (Windows/Linux)
- Foundational understanding of databases and storage principles
Target Audience
- Cloud architects and engineers
- Infrastructure and operations teams
- IT managers and project leads overseeing migration projects
14 Hours
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