This curriculum spans the technical, operational, and governance dimensions of cloud migration with a scope and sequence comparable to a multi-phase enterprise advisory engagement, addressing real-world complexities such as workload interdependencies, hybrid identity integration, and post-migration optimization.
Module 1: Strategic Assessment and Readiness Evaluation
- Conduct workload dependency mapping to identify inter-system communication patterns that impact migration sequencing.
- Evaluate existing SLAs and uptime requirements to determine acceptable migration downtime windows per business unit.
- Perform TCO analysis comparing on-premises refresh costs versus 3- and 5-year cloud projections including egress and support fees.
- Define migration scope by classifying applications using the Gartner 5R framework (Rehost, Refactor, Revise, Rebuild, Replace).
- Establish cloud center of excellence (CCoE) membership with representation from security, infrastructure, and application teams.
- Assess internal skill gaps and determine whether to upskill staff or engage external migration specialists for specific workloads.
Module 2: Cloud Architecture and Design Principles
- Design landing zones with multi-account structures using AWS Organizations or Azure Management Groups aligned to business units.
- Implement identity federation using SAML 2.0 or OIDC to integrate with existing enterprise directories without duplicating user stores.
- Select between centralized and decentralized networking models based on compliance requirements and operational autonomy needs.
- Define data residency rules and apply region-specific deployment constraints using service control policies (SCPs) or Azure Policy.
- Architect for failure by distributing workloads across availability zones and defining automated failover procedures.
- Size cloud instances using performance baselines from on-premises monitoring tools to avoid overprovisioning.
Module 3: Application Rehosting and Lift-and-Shift Execution
- Use agent-based versus agentless replication tools based on guest OS support and network bandwidth constraints.
- Modify boot configurations for virtual machines to support cloud hypervisor drivers and paravirtualized devices.
- Adjust firewall rules to accommodate dynamic cloud IP addressing and NAT gateway dependencies.
- Reconfigure DNS entries to point to cloud endpoints with phased cutover using weighted routing policies.
- Address storage latency by selecting appropriate disk types (e.g., provisioned IOPS SSDs) for database workloads.
- Update monitoring agents to report to cloud-native tools like CloudWatch or Azure Monitor with custom metric integration.
Module 4: Data Migration and Integration Strategy
- Choose between online and offline data transfer based on dataset size, network throughput, and RTO requirements.
- Encrypt data in transit using TLS and at rest with customer-managed keys in cloud key management systems (KMS).
- Validate referential integrity after database migration using checksum comparisons and transaction log replay.
- Implement change data capture (CDC) to synchronize source and target databases during cutover preparation.
- Modify application connection strings to use cloud database endpoints and connection pooling parameters.
- Apply data classification tags during migration to enforce retention and access policies in the cloud.
Module 5: Identity, Access, and Security Governance
- Enforce least privilege by converting local admin accounts to just-in-time (JIT) access via privileged identity management (PIM).
- Integrate cloud logging with existing SIEM solutions using native APIs or secure log forwarders.
- Implement conditional access policies that require MFA for administrative portal access from untrusted networks.
- Define and audit role-based access control (RBAC) assignments using automated drift detection tools.
- Configure encryption for managed services (e.g., RDS, Cosmos DB) using customer-controlled key rotation schedules.
- Establish incident response runbooks specific to cloud environments, including snapshot isolation and VPC flow log analysis.
Module 6: Operational Continuity and Monitoring
- Reconfigure backup jobs to use cloud-native services with lifecycle policies to move snapshots to cold storage.
- Define custom health checks for auto-scaling groups to reflect application-specific readiness conditions.
- Set up cost anomaly detection using cloud financial management tools with alerting thresholds.
- Migrate runbooks and standard operating procedures (SOPs) to reflect cloud CLI and API-based operations.
- Establish cross-region replication for critical data and document recovery procedures with RPO/RTO validation.
- Integrate cloud operations into existing ITSM platforms for incident and change management consistency.
Module 7: Optimization and Continuous Improvement
- Rightsize underutilized instances using performance data and automated recommendations from cost management tools.
- Negotiate reserved instance or savings plan commitments after analyzing 90-day usage patterns.
- Refactor monolithic applications to leverage serverless components where event-driven processing reduces cost.
- Implement tagging governance with automated enforcement to enable accurate cost allocation reporting.
- Conduct quarterly architecture reviews to identify technical debt and cloud-native modernization opportunities.
- Optimize data transfer costs by restructuring application architectures to minimize inter-AZ and inter-region traffic.