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On-Premises to Cloud Migration in Cloud Migration

On-Premises to Cloud Migration in Cloud Migration

$248.00
When you get access:
Course access is prepared after purchase and delivered via email
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Trusted by professionals in 160+ countries
How you learn:
Self-paced • Lifetime updates
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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What does the On-Premises to Cloud Migration in Cloud Migration course cover?

On-Premises to Cloud Migration in Cloud Migration is covered here in 8 modules: Strategic Assessment and Readiness Evaluation, Cloud Architecture and Design Principles, Data Migration and Integrity Management and 5 more. The outline lists 48 specific topics, opening with conduct application dependency mapping to identify inter-system communication patterns that impact migration sequencing.

How do you approach On-Premises to Cloud Migration in Cloud Migration step by step?

The work is sequenced in 8 stages. It starts with Strategic Assessment and Readiness Evaluation, moves through Cloud Architecture and Design Principles and Data Migration and Integrity Management, and ends at Governance, Optimization, and Continuous Improvement. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the On-Premises to Cloud Migration in Cloud Migration course?

Module 1 is Strategic Assessment and Readiness Evaluation. It works through 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. and 3 more.

How is the On-Premises to Cloud Migration in Cloud Migration course delivered?

The On-Premises to Cloud Migration in Cloud Migration course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the On-Premises to Cloud Migration in Cloud Migration course cost?

The On-Premises to Cloud Migration in Cloud Migration course is $247 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: On-Premises to Cloud Migration in Active Directory Dataset, On-Premises to Cloud Migration in Public Cloud Dataset, On Premise Database Cloud Migration Strategy, SharePoint On Premises to Azure Cloud Migration.

More answers: what you get with every course, refund policy, all help answers.

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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