This curriculum spans the equivalent depth and breadth of a multi-workshop technical advisory engagement, covering the same technical, operational, and governance activities performed during an enterprise-wide cloud migration led by internal IT transformation teams.
Module 1: Strategic Assessment and Readiness Evaluation
- Conduct a workload dependency mapping exercise to identify inter-system communication patterns before migration.
- Establish criteria for application suitability using technical debt, scalability requirements, and lifecycle stage.
- Define business continuity thresholds to determine acceptable downtime during migration phases.
- Perform a cloud provider capability gap analysis against existing on-premises SLAs and compliance obligations.
- Engage application owners in classification workshops to assign migration priority and ownership.
- Develop a TCO model that includes hidden costs such as data egress, cross-AZ traffic, and operational retraining.
Module 2: Cloud Architecture Design and Sizing
- Select instance families based on sustained CPU/memory profiles and burst requirements for production workloads.
- Design multi-AZ database architectures balancing RPO and RTO against replication latency and cost.
- Implement network segmentation using VPC peering, route tables, and security group rules aligned with zero-trust principles.
- Size storage tiers (e.g., EBS gp3 vs. io2) based on IOPS, throughput, and durability requirements.
- Integrate hybrid DNS resolution strategies to maintain name resolution across on-premises and cloud environments.
- Define autoscaling policies using custom CloudWatch metrics tied to application-level performance indicators.
Module 3: Data Migration and Integration Planning
- Choose between online and offline data transfer methods based on data volume, network bandwidth, and cutover window.
- Implement change data capture (CDC) using tools like AWS DMS to minimize source database impact during replication.
- Design schema transformation workflows for legacy databases migrating to managed cloud database services.
- Validate referential integrity and data consistency post-migration using automated checksum and row-count validation scripts.
- Coordinate application configuration updates with data cutover timing to prevent connectivity failures.
- Establish data residency controls using tagging and encryption to comply with jurisdiction-specific regulations.
Module 4: Identity, Access, and Security Governance
- Map on-premises Active Directory groups to cloud IAM roles using federation with SAML 2.0 or OIDC.
- Implement least-privilege policies by analyzing CloudTrail logs and refining permissions using IAM Access Analyzer.
- Enforce MFA for all privileged roles, including break-glass accounts with time-bound activation.
- Configure centralized logging and alerting for anomalous sign-in behavior using SIEM integration.
- Define encryption key ownership and rotation policies using customer-managed KMS keys versus AWS-managed keys.
- Establish cross-account access boundaries to limit lateral movement in multi-account cloud environments.
Module 5: Application Refactoring and Modernization
- Determine refactoring depth for monolithic applications based on business value and technical feasibility.
- Migrate stateful components to cloud-native storage with session persistence strategies using Redis or DynamoDB.
- Containerize legacy applications using Docker and orchestrate with managed Kubernetes services (EKS, GKE).
- Implement feature flagging to decouple deployment from release during incremental modernization.
- Replace hardcoded configuration with parameter store or secrets management integration.
- Adapt logging frameworks to stream structured JSON logs to centralized observability platforms.
Module 6: Operational Continuity and Monitoring
- Integrate cloud monitoring tools with existing ITSM platforms to route incidents to appropriate support tiers.
- Define baseline performance metrics for each migrated application to detect post-migration regressions.
- Configure synthetic transaction monitoring to validate end-user experience across regions.
- Establish backup retention schedules and test restore procedures for cloud-native workloads.
- Implement automated drift detection for infrastructure as code using drift comparison tools.
- Design runbooks for common failure scenarios, including failover to secondary regions and rollback procedures.
Module 7: Cost Management and Financial Governance
- Negotiate enterprise discount programs (e.g., EC2 Reserved Instances, Azure Hybrid Benefit) based on utilization forecasts.
- Implement tagging standards for cost allocation and chargeback reporting across departments.
- Use cost anomaly detection to identify unexpected spending spikes from misconfigured resources.
- Enforce budget controls through automated remediation of untagged or underutilized resources.
- Compare total operational cost pre- and post-migration to validate financial assumptions.
- Optimize storage lifecycle policies by transitioning cold data to lower-cost tiers automatically.
Module 8: Governance, Compliance, and Audit Readiness
- Map cloud resource configurations to regulatory frameworks (e.g., HIPAA, GDPR) using compliance automation tools.
- Implement configuration guardrails using policy-as-code (e.g., AWS Config, Azure Policy) to prevent non-compliant deployments.
- Conduct periodic access reviews to revoke unnecessary permissions for offboarded or changed roles.
- Archive audit logs in immutable storage to meet legal hold and forensic investigation requirements.
- Coordinate third-party audit access with cloud provider evidence sharing mechanisms.
- Document data flow diagrams and update business impact analyses to reflect new cloud dependencies.