This curriculum spans the design and execution of controls, workflows, and integrations typical of a multi-phase ITAM transformation program, addressing virtualization management across on-premises and cloud environments with the rigor seen in enterprise advisory engagements.
Module 1: Virtualization Discovery and Inventory Integration
- Configure agent-based and agentless discovery tools to identify virtual machines, hypervisors, and nested virtualization instances across heterogeneous environments.
- Map discovered virtual assets to existing CMDB records, resolving discrepancies between physical host data and virtual guest instances.
- Implement automated reconciliation workflows to handle dynamic VM lifecycle events such as provisioning, migration, and decommissioning.
- Define naming conventions and tagging standards for virtual machines to ensure consistency with organizational asset classification policies.
- Integrate virtualization inventory data with third-party ITAM platforms using APIs or standardized export formats like CSV or CMDBf.
- Establish thresholds and alerting mechanisms for orphaned VMs that remain powered off beyond defined retention periods.
Module 2: License Compliance in Virtualized Environments
- Apply software licensing rules (e.g., per-core, per-socket, or virtual instance) to VMware vSphere, Microsoft Hyper-V, and KVM deployments.
- Conduct license position assessments that account for processor core factors, virtual CPU allocations, and licensing mobility rights.
- Implement license boundary controls to prevent VM sprawl from triggering unintended licensing liabilities under non-movable metrics.
- Document virtual machine placement decisions that minimize licensing costs, such as consolidating workloads on fewer physical hosts.
- Coordinate with legal and procurement teams to interpret vendor-specific virtualization rights in Microsoft, Oracle, and SAP license agreements.
- Use license metric normalization tools to convert vCPU and core allocations into equivalent physical licensing units for compliance reporting.
Module 3: Resource Allocation and Capacity Planning
- Define CPU, memory, and storage allocation policies that balance performance requirements with overcommitment risks.
- Implement right-sizing procedures for VMs based on historical performance data from monitoring tools like vRealize or Prometheus.
- Establish thresholds for memory ballooning, CPU ready time, and storage latency to trigger automated resizing or migration.
- Forecast virtual infrastructure capacity needs by analyzing growth trends in VM count, workload density, and application demand.
- Model the impact of new workloads on existing resource pools, accounting for peak usage and seasonal fluctuations.
- Enforce chargeback or showback models by allocating resource consumption data to business units or cost centers.
Module 4: Change and Configuration Management
- Integrate VM provisioning workflows with ITIL-compliant change management systems to ensure auditability and approval routing.
- Define configuration baselines for virtual machines using templates, gold images, or infrastructure-as-code (IaC) definitions.
- Enforce configuration drift detection by comparing running VM states against approved configurations using tools like Puppet or Ansible.
- Implement rollback procedures for failed VM configuration changes, including snapshot restoration and configuration versioning.
- Manage hypervisor-level configuration changes (e.g., vSwitch updates, storage policies) through controlled maintenance windows.
- Track VM configuration attributes such as firmware version, virtual hardware level, and NIC type in the configuration management database.
Module 5: Virtual Machine Lifecycle Management
- Define standardized workflows for VM provisioning, including approval chains, resource validation, and security policy enforcement.
- Implement self-service VM request portals with policy-based guardrails for CPU, memory, and storage allocation.
- Enforce mandatory business justification and owner assignment during VM creation to support accountability and cost tracking.
- Automate VM decommissioning processes based on inactivity, expired approvals, or end-of-life schedules.
- Conduct periodic VM review cycles with business stakeholders to validate ongoing operational necessity.
- Archive VM configuration and usage data post-decommissioning to meet regulatory or audit requirements.
Module 6: Security and Access Governance
- Enforce role-based access controls (RBAC) for virtualization management interfaces, limiting administrative privileges to authorized personnel.
- Segregate duties between teams responsible for VM provisioning, patching, and backup operations to prevent privilege accumulation.
- Implement secure boot and TPM support for virtual machines hosting sensitive or regulated workloads.
- Monitor and log administrative actions on hypervisors using centralized logging solutions like SIEM or vCenter Event Archiving.
- Restrict VM cloning and snapshot capabilities to prevent unauthorized duplication of sensitive environments.
- Apply network segmentation policies to virtual switches and port groups to isolate management, production, and development traffic.
Module 7: Backup, Recovery, and Disaster Resilience
- Configure application-consistent backup jobs for VMs using VSS or pre-freeze scripts in guest operating systems.
- Define recovery point objectives (RPO) and recovery time objectives (RTO) for critical VMs and validate through regular testing.
- Implement backup retention policies aligned with data classification and regulatory requirements.
- Integrate VM backup metadata with the asset management system to track protection status and coverage gaps.
- Test failover procedures in a isolated recovery environment to validate VM restore functionality and network reconfiguration.
- Evaluate the use of replication vs. backup for mission-critical VMs based on infrastructure capabilities and business continuity needs.
Module 8: Cloud and Hybrid Virtualization Integration
- Extend on-premises VM inventory and compliance controls to public cloud instances using cloud connector tools or native APIs.
- Map hybrid virtual machine deployments to a unified asset taxonomy that includes both private and public cloud environments.
- Implement consistent tagging and cost allocation practices across on-premises and cloud-hosted VMs.
- Assess licensing implications when migrating VMs between on-premises data centers and cloud providers.
- Define governance policies for VM sprawl in cloud environments, including auto-shutdown and budget alerts.
- Integrate hybrid monitoring data into a centralized dashboard to correlate performance and availability across virtualization platforms.