Force7 Training
FRCAWS-31AWS

Migrating to AWS

Duration · 3 daysVirtual + In-PersonInstructor-Led

Course Description

This three-day instructor-led course teaches participants how to plan, prepare, execute, and optimize cloud migrations to Amazon Web Services. Learners gain practical experience in assessing on-premises environments, selecting migration strategies, and executing workload migrations using AWS-native tools and proven methodologies.

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Audience Profile

This course is intended for:

  • Cloud Architects
  • Infrastructure Engineers
  • System Administrators
  • DevOps Engineers
  • IT Managers
  • Application Owners
  • Technical Consultants

Prerequisites

Before enrolling, you should have:

  • Participants should have:
  • Basic understanding of cloud computing concepts
  • Familiarity with IT infrastructure and networking
  • Basic knowledge of Linux or Windows server administration
  • Understanding of virtualization concepts

— What You'll Learn —

Learning Objectives

In this course, you will learn to:

  • 1Assess application portfolios for cloud readiness
  • 2Define migration strategies using the 7 Rs framework
  • 3Design a cloud migration plan and roadmap
  • 4Use AWS tools to discover, assess, and migrate workloads
  • 5Migrate compute, database, and storage workloads to AWS
  • 6Implement hybrid connectivity during migration
  • 7Validate, test, and optimize migrated workloads
  • 8Apply governance, security, and operational best practices

— Day-by-Day —

Course Outline

Day 1: Migration Strategy and Assessment

Module 1

Cloud Migration Fundamentals

  • Cloud adoption models
  • Benefits of cloud migration
  • Common migration challenges
  • Overview of migration lifecycle
  • Introduction to the AWS cloud ecosystem

Module 2

Migration Strategy Framework (7 Rs)

  • Rehost (lift and shift)
  • Replatform
  • Refactor
  • Repurchase
  • Retire
  • Retain
  • Relocate
  • Selecting the right strategy per workload

Module 3

Application Discovery and Assessment

  • Inventorying application portfolios
  • Dependency mapping concepts
  • Workload classification
  • Cost modeling and TCO analysis
  • Risk and compliance considerations

Module 4

AWS Migration Tools Overview

  • Discovery tooling concepts (AWS Application Discovery Service)
  • Migration planning tools
  • AWS Migration Hub overview
  • Data transfer options
  • Lab Activities
  • Perform workload classification
  • Map migration strategies to sample applications
  • Build a basic migration plan

Day 2: Migration Planning and Execution Foundations

Module 5

Migration Planning and Architecture Design

  • Designing target architectures in AWS
  • Selecting compute, storage, and database services
  • Hybrid architecture patterns
  • Network connectivity options (VPN, Direct Connect concepts)
  • Identity and access considerations

Module 6

Compute and Server Migration

  • Rehosting strategies
  • Overview of AWS Application Migration Service
  • VM migration concepts
  • Handling Windows and Linux workloads
  • Post-migration validation steps

Module 7

Database Migration Strategies

  • Database migration approaches
  • Homogeneous vs heterogeneous migrations
  • Overview of AWS Database Migration Service
  • Schema conversion concepts
  • Data replication strategies

Module 8

Storage and Data Transfer

  • Storage migration strategies
  • File transfer options
  • Large-scale data migration approaches
  • Data validation and integrity checks
  • Lab Activities
  • Design a target AWS architecture
  • Plan a server migration scenario
  • Simulate database migration workflow
  • Configure a sample data transfer strategy

Day 3: Advanced Migration, Optimization, and Operations

Module 9

Migration Automation and Orchestration

  • Migration pipelines and automation concepts
  • Infrastructure as Code overview
  • Repeatable migration patterns
  • Cutover planning and execution

Module 10

Security, Governance, and Compliance

  • Identity and access management during migration
  • Encryption in transit and at rest
  • Compliance frameworks and governance models
  • Logging and audit strategies

Module 11

Performance and Cost Optimization

  • Right-sizing workloads post-migration
  • Cost management strategies
  • Performance monitoring and tuning
  • Resource optimization techniques

Module 12

Migration Validation and Cutover Strategies

  • Testing migrated workloads
  • Cutover planning and execution steps
  • Rollback strategies
  • Business continuity considerations

Module 13

Operations in the Cloud Post-Migration

  • Monitoring and observability concepts
  • Incident response models
  • Operational excellence in AWS
  • Continuous optimization lifecycle
  • Capstone Lab: End-to-End Migration Simulation
  • Participants will:
  • Assess a multi-tier application
  • Select a migration strategy using the 7 Rs framework
  • Design a target AWS architecture
  • Plan and execute a simulated migration
  • Validate and optimize the migrated environment

— Additional Details —

What else is included

Hands-On Activities Included

  • Throughout the course, participants will:
  • Analyze workloads for migration suitability
  • Design AWS target architectures
  • Simulate server and database migrations
  • Apply migration tools and strategies
  • Build cutover and rollback plans
  • Optimize post-migration environments
  • Delivery Format
  • Instructor-led presentations
  • Architecture design exercises
  • Guided labs and simulations
  • Group discussions and case studies
  • End-of-course capstone scenario
  • Suggested Follow-On Courses
  • Advanced Architecting on AWS
  • Data Engineering on AWS
  • DevOps Engineering on AWS
  • Security Engineering on AWS
  • Cloud Operations on AWS

Note: Course outlines are provided as a general guide. Content, pacing, labs, and instructional emphasis may vary based on instructor expertise, student experience levels, and customer-specific learning objectives.

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