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Virtual Machines in Cloud Migration

Virtual Machines in Cloud Migration

$250.00
When you get access:
Course access is prepared after purchase and delivered via email
How you learn:
Self-paced • Lifetime updates
Your guarantee:
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 Virtual Machines in Cloud Migration course cover?

Virtual Machines in Cloud Migration is covered here in 8 modules: Assessing On-Premises Workloads for Cloud Feasibility, Designing Cloud Virtual Machine Architecture, Networking and Connectivity for Migrated VMs and 5 more. The outline lists 48 specific topics, opening with selecting candidate workloads based on dependencies, licensing constraints, and performance sensitivity to avoid migration blockers.

How do you approach Virtual Machines in Cloud Migration step by step?

The work is sequenced in 8 stages. It starts with Assessing On-Premises Workloads for Cloud Feasibility, moves through Designing Cloud Virtual Machine Architecture and Networking and Connectivity for Migrated VMs, and ends at Migration Cutover and Post-Migration Validation. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Virtual Machines in Cloud Migration course?

Module 1 is Assessing On-Premises Workloads for Cloud Feasibility. It works through selecting candidate workloads based on dependencies, licensing constraints, and performance sensitivity to avoid migration blockers., mapping physical and virtual server utilization metrics to appropriate cloud VM instance types using historical monitoring data., identifying applications tied to legacy hardware or unsupported OS versions that require refactoring or replacement pre-migration.

How is the Virtual Machines in Cloud Migration course delivered?

The Virtual Machines 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 Virtual Machines in Cloud Migration course cost?

The Virtual Machines in Cloud Migration course is $248 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: Virtual Machine Migration in Virtualization Dataset, Cloud Migration in Virtualization Dataset, Virtual Desktop Infrastructure in Cloud Migration, Cloud Migration in Virtual Desktop Infrastructure.

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

This curriculum spans the technical and operational rigor of a multi-phase cloud migration program, addressing the same workload assessment, architecture design, and operational integration tasks typically handled in enterprise advisory engagements for moving on-premises systems to cloud-hosted virtual machines.

Module 1: Assessing On-Premises Workloads for Cloud Feasibility

  • Selecting candidate workloads based on dependencies, licensing constraints, and performance sensitivity to avoid migration blockers.
  • Mapping physical and virtual server utilization metrics to appropriate cloud VM instance types using historical monitoring data.
  • Identifying applications tied to legacy hardware or unsupported OS versions that require refactoring or replacement pre-migration.
  • Documenting network topology interdependencies to anticipate connectivity changes post-migration to virtual networks.
  • Classifying data by residency and compliance requirements to determine permissible cloud regions and storage configurations.
  • Engaging application owners to validate uptime expectations and coordinate maintenance windows for cutover planning.

Module 2: Designing Cloud Virtual Machine Architecture

  • Choosing between shared-core and dedicated host models based on licensing, security, and performance isolation needs.
  • Configuring VM placement groups and anti-affinity rules to prevent single points of failure in availability zones.
  • Selecting OS images from marketplace vs. custom golden images based on patching control and compliance validation requirements.
  • Designing boot disk and data disk layouts with appropriate storage tiers (SSD vs. HDD) and IOPS allocations.
  • Implementing secure boot and Trusted Platform Module (TPM) support for VMs handling regulated workloads.
  • Planning for instance metadata service (IMDS) access controls to prevent credential exposure in multi-tenant environments.

Module 3: Networking and Connectivity for Migrated VMs

  • Designing hybrid connectivity using site-to-site VPN or ExpressRoute/AWS Direct Connect with BGP routing policies.
  • Allocating private IP address ranges to avoid overlap between on-premises and cloud virtual networks.
  • Configuring network security groups (NSGs) and firewall rules to enforce least-privilege access between VM tiers.
  • Implementing DNS resolution strategies for hybrid name resolution between on-premises and cloud-hosted VMs.
  • Setting up private endpoints or VPC peering to enable secure cross-account or cross-region VM communication.
  • Planning for network latency and bandwidth constraints when synchronizing large datasets during migration cutover.

Module 4: Data Migration and VM Replication

  • Selecting between agent-based and agentless replication tools based on guest OS support and performance impact tolerance.
  • Scheduling incremental replication windows to minimize data drift while avoiding peak business hours.
  • Validating storage compatibility when converting thick-provisioned disks to cloud-supported formats like VHD or RAW.
  • Handling database consistency by coordinating replication with transaction log backups and quiescing mechanisms.
  • Estimating network egress costs and transfer times for large datasets using data transfer acceleration services.
  • Testing failback procedures to ensure rollback capability in case of post-migration application incompatibility.

Module 5: Identity, Access, and Security Hardening

  • Integrating VMs with centralized identity providers using Azure AD Hybrid Join or AWS IAM Roles for EC2.
  • Disabling local administrator accounts and enforcing SSH key or certificate-based authentication for access.
  • Deploying host-based intrusion detection agents and log forwarding to SIEM systems for continuous monitoring.
  • Applying security baselines (e.g., CIS benchmarks) through automation tools like Ansible or Azure Desired State Configuration.
  • Managing secrets using key vaults or parameter stores instead of embedding credentials in scripts or configuration files.
  • Enabling VM-level encryption at rest using platform-managed or customer-managed keys with rotation policies.

Module 6: Operational Management and Monitoring

  • Configuring centralized logging to forward system, application, and security logs to cloud-native log analytics platforms.
  • Setting up performance baselines and alerting thresholds for CPU, memory, disk queue length, and network throughput.
  • Automating patch management using update management solutions with maintenance window scheduling and reboot control.
  • Implementing backup policies with retention schedules, cross-region replication, and recovery point validation.
  • Using configuration drift detection to identify unauthorized changes to VM settings or installed software.
  • Integrating VM operations into existing ITSM workflows for incident, change, and problem management.

Module 7: Cost Optimization and Resource Governance

  • Right-sizing VM instances based on actual utilization trends to eliminate over-provisioning waste.
  • Implementing auto-scaling policies using custom or application-specific metrics instead of CPU-only triggers.
  • Applying reserved instances or savings plans after analyzing steady-state workloads to reduce long-term spend.
  • Enforcing tagging policies at deployment time to enable chargeback/showback and resource accountability.
  • Setting up budget alerts and policy-driven enforcement to shut down non-compliant or untagged VMs.
  • Using spot or preemptible instances for fault-tolerant workloads with checkpointing and restart logic in place.

Module 8: Migration Cutover and Post-Migration Validation

  • Executing final data sync and DNS TTL reduction before initiating the production cutover window.
  • Validating application functionality by running automated smoke tests against migrated VM endpoints.
  • Confirming data integrity by comparing checksums or record counts between source and target databases.
  • Re-establishing backup and disaster recovery jobs for VMs now operating in the cloud environment.
  • Updating runbooks and operational documentation to reflect new cloud-based failover and recovery procedures.
  • Conducting a post-mortem review to document lessons learned and adjust migration playbooks for future waves.
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