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Modern Strategy in Cloud Migration

Modern Strategy 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.
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Self-paced • Lifetime updates
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Course access is prepared after purchase and delivered via email
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This curriculum spans the technical, financial, and operational decision-making typically addressed across multi-workshop architecture reviews, cross-functional readiness assessments, and internal cloud governance programs in large-scale cloud adoption initiatives.

Module 1: Defining Migration Scope and Business Alignment

  • Selecting which business units or product lines will undergo cloud migration based on revenue impact and technical feasibility
  • Mapping legacy application dependencies to identify inter-system risks before decommissioning on-prem infrastructure
  • Establishing migration criteria for applications—such as data sensitivity, compliance needs, and uptime SLAs—to determine cloud suitability
  • Conducting stakeholder workshops to align cloud objectives with business KPIs, including cost reduction, time-to-market, and resilience
  • Deciding whether to migrate specific workloads to public, private, or hybrid cloud based on data sovereignty and latency requirements
  • Creating a phased migration roadmap with clear go/no-go decision gates for each application tier
  • Integrating finance and procurement teams early to assess budget cycles and capital vs. operational expenditure implications

Module 2: Cloud Provider Selection and Contract Negotiation

  • Evaluating regional availability zones and disaster recovery capabilities across AWS, Azure, and GCP for multi-region resilience
  • Negotiating enterprise discount agreements (EDPs) with volume commitments while preserving exit flexibility
  • Assessing provider-specific managed services (e.g., Azure SQL vs. Amazon RDS) against long-term vendor lock-in risks
  • Comparing egress pricing models and data transfer costs between providers for high-throughput applications
  • Validating compliance certifications (e.g., FedRAMP, HIPAA, GDPR) for regulated workloads prior to contract signing
  • Defining exit clauses and data portability requirements in master service agreements to support future multi-cloud strategies
  • Establishing joint governance forums with the cloud provider for incident escalation and roadmap alignment

Module 3: Application Refactoring and Modernization Strategy

  • Deciding whether to rehost, refactor, rearchitect, or rebuild each application based on technical debt and business value
  • Converting monolithic applications into microservices with containerization, including breaking shared databases
  • Implementing API gateways to decouple frontend and backend systems during incremental modernization
  • Choosing between Kubernetes (EKS, AKS, GKE) and serverless (Lambda, Cloud Functions) based on operational capacity and scaling needs
  • Refactoring stateful applications to handle ephemeral compute environments using externalized session and cache stores
  • Integrating CI/CD pipelines with automated testing for cloud-native deployment patterns
  • Establishing feature flagging and canary release mechanisms to reduce deployment risk during transformation

Module 4: Data Architecture and Migration Execution

  • Designing secure data pipelines for bulk migration using tools like AWS DMS, Azure Data Factory, or custom ETL scripts
  • Implementing data classification and encryption standards for PII and regulated data in transit and at rest
  • Choosing between homogeneous (e.g., Oracle to Aurora) and heterogeneous (e.g., SQL Server to BigQuery) database migrations
  • Validating data integrity post-migration using checksums and reconciliation reports across source and target systems
  • Decoupling reporting and analytics workloads by migrating data to cloud data warehouses (e.g., Snowflake, Redshift)
  • Setting up cross-region replication and backup policies for critical databases based on RPO and RTO targets
  • Managing schema evolution during parallel run periods to ensure consistency between legacy and cloud systems

Module 5: Identity, Access, and Security Governance

  • Integrating on-prem Active Directory with cloud identity providers (e.g., Azure AD, AWS IAM Identity Center) using federation
  • Implementing least-privilege access controls using role-based and attribute-based policies across cloud accounts
  • Establishing centralized logging and monitoring for identity events using SIEM tools like Splunk or Sentinel
  • Defining break-glass access procedures and emergency IAM roles with time-bound permissions
  • Enforcing multi-factor authentication (MFA) for all administrative and privileged accounts
  • Conducting quarterly access reviews to deprovision orphaned or excessive permissions
  • Configuring conditional access policies based on user location, device compliance, and risk signals

Module 6: Network Architecture and Connectivity Design

  • Selecting between direct connect (AWS), express route (Azure), or partner interconnects based on bandwidth and latency needs
  • Designing VPC/VNet peering and transit gateway architectures to support multi-account or multi-tenant isolation
  • Implementing DNS routing strategies using private hosted zones and split-horizon configurations
  • Configuring firewall rules and network ACLs to enforce segmentation between development, staging, and production environments
  • Deploying WAF and DDoS protection at the perimeter for public-facing applications
  • Establishing secure hybrid connectivity with site-to-site VPN as a backup to dedicated links
  • Monitoring network performance and packet loss across cloud regions using synthetic transactions

Module 7: Cost Management and Financial Operations

  • Setting up chargeback and showback models using tagging policies and cost allocation tags
  • Right-sizing compute instances based on utilization metrics from monitoring tools like CloudWatch or Azure Monitor
  • Implementing automated shutdown policies for non-production environments during off-hours
  • Negotiating reserved instances or savings plans based on stable workload forecasts
  • Creating budget alerts and anomaly detection rules to prevent cost overruns
  • Conducting monthly cloud cost reviews with business unit owners to align spending with value delivery
  • Using FinOps tools (e.g., CloudHealth, Azure Cost Management) to standardize reporting across multi-cloud environments

Module 8: Change Management and Operational Readiness

  • Redesigning incident response playbooks to reflect cloud-specific failure modes and escalation paths
  • Retraining operations teams on cloud-native monitoring, log aggregation, and distributed tracing tools
  • Establishing a cloud COE (Center of Excellence) with representatives from security, infrastructure, and development
  • Conducting cutover rehearsals and failover drills for critical applications prior to production migration
  • Updating DR and BCP plans to include cloud recovery procedures and cross-region activation steps
  • Documenting runbooks for common operational tasks such as scaling, patching, and backup restoration in the cloud
  • Implementing post-migration health checks and performance baselines to validate operational stability
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