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On-Premises to Cloud Migration in Cloud Migration

On-Premises to Cloud Migration in Cloud Migration

$249.00
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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 equivalent depth and breadth of a multi-workshop technical advisory engagement, addressing the full lifecycle of cloud migration from workload assessment to operational governance, with a focus on real-world constraints like compliance, legacy integration, and hybrid operations.

Module 1: Strategic Assessment and Readiness Evaluation

  • Conduct application dependency mapping to identify inter-system communication patterns that impact migration sequencing.
  • Classify workloads using the Gartner bimodal IT framework to determine which systems require lift-and-shift versus refactor approaches.
  • Evaluate data residency requirements per jurisdiction, including GDPR, HIPAA, or CCPA, to constrain region selection in cloud deployment.
  • Perform TCO modeling that includes ongoing operational costs, data egress fees, and reserved instance commitments over a 36-month horizon.
  • Engage facility teams to decommission on-premises hardware post-migration, including audit trails for asset disposal compliance.
  • Establish migration eligibility criteria based on application age, vendor support status, and technical debt thresholds.

Module 2: Cloud Architecture and Design Principles

  • Design multi-AZ architectures for stateful applications to meet RTO/RPO targets without relying on traditional clustering.
  • Implement cloud-native identity federation using SAML or OIDC to integrate with existing enterprise IAM systems.
  • Select between object, block, and file storage based on application I/O patterns and consistency requirements.
  • Define VPC peering or transit gateway strategies to maintain segmentation while enabling cross-account communication.
  • Architect for immutable infrastructure by integrating configuration management tools with golden image pipelines.
  • Apply AWS Well-Architected or Azure Design Review principles to validate design decisions against operational excellence pillars.

Module 3: Data Migration and Integrity Management

  • Choose between online and offline data transfer methods based on data volume, network bandwidth, and downtime tolerance.
  • Implement change data capture (CDC) using tools like AWS DMS or Azure Data Box to minimize cutover window duration.
  • Validate data consistency post-migration using cryptographic checksums and row-count reconciliation scripts.
  • Handle legacy database dependencies by deploying compatibility layers or polyglot persistence models.
  • Establish data masking rules during migration to prevent PII exposure in non-production cloud environments.
  • Coordinate schema evolution across environments when source and target databases use different SQL dialects.

Module 4: Application Refactoring and Modernization

  • Decompose monolithic applications into microservices using domain-driven design to align with bounded contexts.
  • Migrate session state from in-memory stores to distributed caches like Redis or DynamoDB for scalability.
  • Replace hardcoded configuration with externalized parameter stores such as AWS Systems Manager Parameter Store.
  • Refactor tightly coupled integrations to use asynchronous messaging via SQS, EventBridge, or Service Bus.
  • Containerize legacy applications using Docker and orchestrate with Kubernetes while maintaining networking compatibility.
  • Implement feature toggles to enable incremental rollout of refactored components alongside legacy systems.

Module 5: Security, Compliance, and Identity Governance

  • Enforce least-privilege access using cloud-native IAM roles with condition keys tied to IP ranges or MFA status.
  • Integrate cloud logging outputs with SIEM platforms using native APIs or syslog forwarding agents.
  • Implement automated policy checks using tools like AWS Config or Azure Policy to enforce encryption-at-rest rules.
  • Manage secrets rotation through automated pipelines using HashiCorp Vault or cloud-native secret managers.
  • Conduct penetration testing under cloud provider acceptable use policies, including scope approval and disclosure procedures.
  • Map existing on-premises RBAC models to cloud identity providers while auditing for privilege creep.

Module 6: Network Integration and Connectivity

  • Provision site-to-site VPN or Direct Connect/ExpressRoute circuits with redundancy and failover testing.
  • Configure DNS resolution between on-premises and cloud environments using conditional forwarders or Route 53 resolvers.
  • Implement hybrid DNS strategies to support gradual migration of application endpoints.
  • Apply network ACLs and security groups to enforce zero-trust segmentation between tiers.
  • Monitor latency and jitter for real-time applications using CloudWatch or Azure Monitor network insights.
  • Optimize hybrid routing tables to prevent asymmetric routing in multi-VPC or multi-subscription environments.

Module 7: Operational Transition and Runbook Development

  • Reconcile on-premises monitoring thresholds with cloud-native alerting systems to reduce false positives.
  • Migrate runbooks to cloud operations teams by updating commands for cloud CLI tools and API-based workflows.
  • Establish cloud cost anomaly detection using automated alerts based on historical spend patterns.
  • Train L1 support teams on cloud console navigation, log retrieval, and incident ticketing workflows.
  • Implement automated backup and snapshot lifecycle policies aligned with existing SLAs.
  • Conduct failover drills for cloud workloads to validate DR runbooks and update recovery procedures.

Module 8: Governance, Optimization, and Continuous Improvement

  • Enforce tagging compliance through automated enforcement policies and chargeback reporting requirements.
  • Conduct post-migration performance benchmarking to identify under-provisioned or over-allocated resources.
  • Optimize storage tiers by analyzing access patterns and migrating cold data to lower-cost classes.
  • Review reserved instance and savings plan utilization monthly to avoid stranded commitments.
  • Establish feedback loops with development teams to refine infrastructure-as-code templates based on operational issues.
  • Perform quarterly architecture reviews to identify technical debt accumulation in cloud environments.
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