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Virtual Machines in Cloud Migration

Virtual Machines in Cloud Migration

$249.00
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Course access is prepared after purchase and delivered via email
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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 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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