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Cloud Migration in Cloud Adoption for Operational Efficiency

$199.00
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Course access is prepared after purchase and delivered via email
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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.
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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.