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IaaS Solutions in Cloud Migration

IaaS Solutions in Cloud Migration

$251.00
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Trusted by professionals in 160+ countries
How you learn:
Self-paced • Lifetime updates
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Course access is prepared after purchase and delivered via email
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30-day money-back guarantee — no questions asked
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 IaaS Solutions in Cloud Migration course cover?

IaaS Solutions in Cloud Migration is covered here in 8 modules: Assessing On-Premises Infrastructure for IaaS Migration, Cloud Provider Selection and Account Architecture, Network Design and Hybrid Connectivity and 5 more. The outline lists 48 specific topics, opening with conducting hardware lifecycle analysis to determine which physical servers are candidates for lift-and-shift versus refactoring.

How do you approach IaaS Solutions in Cloud Migration step by step?

The work is sequenced in 8 stages. It starts with Assessing On-Premises Infrastructure for IaaS Migration, moves through Cloud Provider Selection and Account Architecture and Network Design and Hybrid Connectivity, and ends at Governance, Compliance, and Audit Readiness. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the IaaS Solutions in Cloud Migration course?

Module 1 is Assessing On-Premises Infrastructure for IaaS Migration. It works through conducting hardware lifecycle analysis to determine which physical servers are candidates for lift-and-shift versus refactoring., evaluating application dependencies using network flow monitoring tools to map inter-service communication before migration., classifying workloads by criticality, compliance requirements, and recovery time objectives to prioritize migration sequencing. and 3 more.

How is the IaaS Solutions in Cloud Migration course delivered?

The IaaS Solutions 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 IaaS Solutions in Cloud Migration course cost?

The IaaS Solutions in Cloud Migration course is $251 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: Cloud Migration in IaaS Dataset, Data Center Migration in IaaS Dataset, Disaster Recovery Solutions in IaaS Dataset, PaaS Solutions in Cloud Migration.

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

This curriculum spans the technical and operational rigor of a multi-workshop cloud migration engagement, addressing infrastructure assessment, identity integration, hybrid networking, and compliance governance with the depth seen in enterprise advisory programs.

Module 1: Assessing On-Premises Infrastructure for IaaS Migration

  • Conducting hardware lifecycle analysis to determine which physical servers are candidates for lift-and-shift versus refactoring.
  • Evaluating application dependencies using network flow monitoring tools to map inter-service communication before migration.
  • Classifying workloads by criticality, compliance requirements, and recovery time objectives to prioritize migration sequencing.
  • Deciding whether to retain legacy identity systems or integrate with cloud-native directory services during discovery.
  • Documenting existing backup and disaster recovery configurations to align with cloud storage tier strategies.
  • Identifying non-x86 architectures (e.g., mainframe, Power Systems) that require specialized migration paths or emulation.

Module 2: Cloud Provider Selection and Account Architecture

  • Comparing SLA terms for compute availability, network egress, and storage durability across AWS, Azure, and GCP for mission-critical systems.
  • Designing multi-account structures using organizational units to enforce billing separation, security boundaries, and access delegation.
  • Implementing centralized logging and configuration auditing using native tools (e.g., AWS Organizations with AWS Control Tower).
  • Negotiating enterprise agreements that include reserved instance commitments while maintaining flexibility for burst workloads.
  • Establishing DNS and domain management strategies that support hybrid resolution during phased migrations.
  • Defining tagging standards across subscriptions and projects to enable cost allocation and resource ownership tracking.

Module 3: Network Design and Hybrid Connectivity

  • Planning VPC/VNet CIDR block allocation to avoid IP conflicts with on-premises networks and support future expansion.
  • Selecting between IPsec VPN and dedicated private connections (e.g., AWS Direct Connect, Azure ExpressRoute) based on latency and throughput needs.
  • Configuring route tables and network gateways to enable asymmetric routing patterns in hybrid environments.
  • Implementing DNS forwarding rules to resolve on-premises resources from cloud VMs and vice versa.
  • Enforcing segmentation using NSGs, firewalls, and routing policies to isolate development, production, and management subnets.
  • Validating failover behavior of hybrid routing protocols during network outages using controlled disruption testing.

Module 4: Compute and Storage Migration Strategies

  • Choosing between agent-based (e.g., Azure Migrate, AWS Server Migration Service) and agentless replication tools based on OS support and performance impact.
  • Converting physical disks to VHD/VMDK formats while preserving partition alignment and boot configurations.
  • Sizing target VM instances using performance baselines, considering vCPU-to-memory ratios and burstable versus sustained workloads.
  • Migrating stateful applications by coordinating storage snapshots with application quiescence procedures.
  • Reconciling storage performance differences between local SAN and cloud block storage (e.g., IOPS, latency) through caching or tiering.
  • Handling large datasets by staging data via offline methods (e.g., AWS Snowball, Azure Data Box) to reduce transfer time and cost.

Module 5: Identity, Access, and Security Governance

  • Integrating on-premises Active Directory with cloud identity providers using federation or AD DS extensions (e.g., AWS Directory Service).
  • Implementing least-privilege IAM policies that map to existing role-based access control models without over-permissioning.
  • Enabling just-in-time (JIT) access for administrative VMs using privileged access management solutions.
  • Configuring host-based firewall rules on migrated instances to align with zero-trust network principles.
  • Managing SSH key rotation and Windows local administrator password policies across hundreds of cloud instances.
  • Enforcing encryption of OS and data disks at rest using customer-managed keys and validating key rotation procedures.

Module 6: Operational Continuity and Monitoring

  • Reconfiguring on-premises monitoring agents to report to cloud-based observability platforms (e.g., Datadog, Azure Monitor).
  • Defining alert thresholds for CPU, memory, and disk that account for cloud instance variability and auto-scaling behavior.
  • Integrating cloud logs with existing SIEM systems using ingestion pipelines that preserve event timestamps and source context.
  • Updating runbooks to reflect cloud-specific failure modes, such as host decommissioning and zone outages.
  • Automating VM patching using cloud-native tools (e.g., AWS Systems Manager, Azure Update Management) with maintenance windows.
  • Validating backup consistency by restoring application VMs to isolated environments and verifying data integrity.

Module 7: Cost Management and Optimization

  • Right-sizing underutilized instances by analyzing CloudWatch or Azure Monitor metrics over 30-day periods.
  • Implementing automated start/stop schedules for non-production workloads using tagging and scheduler functions.
  • Evaluating the total cost of ownership for reserved instances versus savings plans, including renewal and change fees.
  • Monitoring storage sprawl by identifying unattached disks and snapshots older than retention policies.
  • Setting up budget alerts with actionable thresholds that trigger operations team notifications and auto-remediation.
  • Optimizing data transfer costs by relocating workloads to regions that minimize cross-AZ and egress charges.

Module 8: Governance, Compliance, and Audit Readiness

  • Mapping existing regulatory controls (e.g., HIPAA, GDPR) to cloud provider compliance certifications and shared responsibility model boundaries.
  • Configuring policy-as-code frameworks (e.g., AWS Config, Azure Policy) to enforce encryption, tagging, and region constraints.
  • Documenting data residency requirements and restricting resource deployment to approved geographic regions.
  • Preparing for external audits by generating evidence packages from cloud logging and configuration history.
  • Implementing immutable logging for administrative actions using write-once storage and access logging.
  • Reviewing third-party SaaS integrations for compliance with corporate data handling policies before enabling in cloud environments.
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