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Course Outline
Migration Strategy and Assessment
- Business drivers and migration objectives
- Migration patterns: rehost, replatform, refactor, replace
- Using the AWS Migration Readiness Assessment (MRA) and discovery tools
- Prioritizing applications and building a migration roadmap
Discovery, Inventory, and Planning
- Collecting inventory and dependency mapping
- 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 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 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
14 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
