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Course Outline
Migration Strategy and Assessment
- Business drivers and migration objectives.
- Migration patterns: rehost, replatform, refactor, and replace.
- Utilizing the AWS Migration Readiness Assessment (MRA) and discovery tools.
- Prioritizing applications and building a migration roadmap.
Discovery, Inventory, and Planning
- Collecting inventory and mapping dependencies.
- Estimating TCO and sizing AWS resources.
- Conducting risk assessments and planning cutovers.
- 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 performing 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.
- Minimizing downtime and validating 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 optimization: right-sizing, autoscaling, and cost controls.
- Operational runbooks, monitoring, and backup strategies.
Hands-on Workshop: End-to-End Migration Scenario
- Perform discovery and plan a migration wave for sample workloads.
- Replicate a server with MGN and run a test cutover.
- Migrate a sample database with DMS and validate results.
- Complete cutover, validate services, and review lessons learned.
Summary and Next Steps
Requirements
- A foundational understanding of IT infrastructure and networking.
- Familiarity with virtualization and operating systems (Windows/Linux).
- Basic knowledge of database and storage concepts.
Audience
- Cloud architects and engineers.
- Infrastructure and operations teams.
- IT managers and project leads planning migrations.
14 Hours
Testimonials (2)
I've find out new interesting things about Lambda and Serverless
Oleg Buldumac - PUBLIC COURSE
Course - AWS Lambda for Developers
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