Skip to main content
AWS Migration in Cloud Migration

AWS Migration in Cloud Migration

$249.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
How you learn:
Self-paced • Lifetime updates
Your guarantee:
30-day money-back guarantee — no questions asked
When you get access:
Course access is prepared after purchase and delivered via email
Who trusts this:
Trusted by professionals in 160+ countries
Adding to cart… The item has been added

This curriculum spans the equivalent of a multi-workshop technical engagement, covering the sequence of activities from initial workload assessment to post-migration optimization, as typically managed by cloud migration teams in medium to large enterprises.

Module 1: Assessing Readiness and Defining Migration Scope

  • Selecting which on-premises workloads to migrate based on technical dependencies, business criticality, and licensing constraints.
  • Conducting inventory assessments using AWS Application Discovery Service to map interdependencies and performance baselines.
  • Determining migration eligibility by evaluating custom legacy applications against AWS compatibility requirements.
  • Establishing stakeholder alignment on migration timelines, ownership, and success metrics across IT, security, and business units.
  • Deciding whether to include third-party SaaS applications in the migration scope or maintain hybrid integration points.
  • Classifying data sensitivity levels to inform security, residency, and compliance requirements during migration planning.

Module 2: Designing Cloud Architecture and Target Environment

  • Selecting appropriate AWS compute models (EC2, ECS, Lambda) based on workload characteristics and scalability needs.
  • Designing VPC topology with subnets, route tables, and security groups to support multi-tier application segmentation.
  • Choosing between AWS-managed databases (RDS, DynamoDB) and self-managed instances based on operational overhead tolerance.
  • Implementing cross-AZ high availability for critical systems while balancing cost and recovery time objectives.
  • Integrating existing identity providers with AWS IAM using SAML or OIDC for centralized access control.
  • Planning DNS and routing strategies using Route 53 and hybrid connectivity options like AWS Direct Connect or VPN.

Module 3: Data Migration and Storage Strategy

  • Executing large-scale database migrations using AWS DMS while managing cutover windows and data consistency.
  • Selecting storage classes (S3 Standard, Glacier, EBS gp3/io2) based on access patterns, durability, and cost.
  • Implementing data validation checks post-migration to verify integrity and completeness across systems.
  • Handling unstructured data migration from NAS/SAN to S3 using AWS DataSync with throughput and scheduling constraints.
  • Applying encryption (SSE-S3, SSE-KMS) and bucket policies during data transfer to meet compliance obligations.
  • Establishing data retention and archival workflows using S3 Lifecycle policies aligned with regulatory requirements.

Module 4: Application Refactoring and Modernization

  • Deciding whether to rehost (lift-and-shift), refactor, or rebuild applications based on TCO and technical debt.
  • Containerizing monolithic applications using Amazon ECS or EKS with minimal disruption to existing workflows.
  • Replacing legacy messaging systems with Amazon SQS, SNS, or MSK based on throughput and reliability needs.
  • Implementing API gateways to expose backend services securely with rate limiting and authentication.
  • Migrating stateful applications by decoupling storage from compute and using EBS snapshots or EFS.
  • Updating application configuration to consume AWS services (e.g., Parameter Store, Secrets Manager) instead of hardcoded values.

Module 5: Security, Compliance, and Identity Governance

  • Enforcing least-privilege access using IAM roles and policies across development, staging, and production accounts.
  • Integrating AWS Config and Security Hub to continuously monitor compliance with organizational and regulatory standards.
  • Implementing centralized logging using CloudTrail, VPC Flow Logs, and Amazon OpenSearch Service for auditability.
  • Managing encryption key lifecycle using AWS KMS with customer-managed CMKs for sensitive data sets.
  • Applying network security controls via Security Groups, NACLs, and AWS WAF for public-facing applications.
  • Conducting penetration testing under AWS Acceptable Use Policy and coordinating with internal security teams.

Module 6: Operational Readiness and CI/CD Integration

  • Setting up automated infrastructure provisioning using AWS CloudFormation or Terraform in version-controlled repositories.
  • Integrating AWS CodePipeline with on-premises Jenkins or GitLab CI to support hybrid deployment workflows.
  • Configuring health checks and auto-recovery for EC2 instances using CloudWatch Alarms and Auto Scaling policies.
  • Migrating monitoring dashboards from on-prem tools (e.g., Nagios, Zabbix) to CloudWatch and Prometheus on EKS.
  • Establishing incident response procedures for cloud-specific failure modes (e.g., AZ outages, throttling).
  • Training operations teams on AWS console navigation, CLI usage, and troubleshooting common service issues.

Module 7: Cutover Execution and Post-Migration Validation

  • Coordinating cutover timelines with business units to minimize disruption during go-live events.
  • Executing final data syncs and validating referential integrity between source and target databases.
  • Switching DNS records via Route 53 with weighted routing to enable controlled traffic shifts.
  • Validating application functionality through automated test suites and user acceptance testing (UAT) sign-off.
  • Decommissioning on-premises infrastructure only after confirming stable operation in AWS and data backup completeness.
  • Conducting post-migration reviews to document lessons learned, performance variances, and optimization opportunities.

Module 8: Cost Management and Optimization Post-Migration

  • Implementing AWS Cost Explorer and Budgets to track spending across services and departments.
  • Negotiating Reserved Instances or Savings Plans based on steady-state usage patterns identified post-migration.
  • Right-sizing EC2 instances and EBS volumes using Compute Optimizer recommendations and performance data.
  • Enabling S3 Intelligent-Tiering for data sets with unpredictable access patterns to reduce storage costs.
  • Tagging all resources consistently to enable chargeback, showback, and accountability reporting.
  • Establishing automated shutdown policies for non-production environments using AWS Instance Scheduler.
!