This curriculum spans the equivalent depth and breadth of a multi-workshop technical advisory engagement, addressing the same cost modelling, infrastructure trade-offs, and operational decisions faced during real-world VDI deployments across on-premises, cloud, and hybrid environments.
Module 1: Assessing Total Cost of Ownership in VDI Deployments
- Decide between persistent and non-persistent desktop pools based on user profile complexity and storage cost implications.
- Calculate long-term storage expenses for user data and OS images, factoring in deduplication efficiency and snapshot overhead.
- Evaluate the cost impact of integrating profile management solutions versus relying on roaming profiles.
- Compare the capital expenditure of on-premises hardware refresh cycles against subscription costs for cloud-hosted desktops.
- Include helpdesk labor costs in TCO models when estimating support burden for image updates and user troubleshooting.
- Model licensing costs across multiple vendors, including Microsoft Windows Virtual Desktop Access (VDA), RDS CALs, and third-party VDI platforms.
Module 2: Infrastructure Sizing and Resource Allocation
- Determine CPU and memory overcommit ratios based on actual user workload telemetry, avoiding vendor-provided averages.
- Size network bandwidth for peak usage scenarios, including logon storms and multimedia redirection requirements.
- Select storage tiering strategies that balance IOPS demands during boot storms with cost per GB for idle desktops.
- Allocate GPU resources only to users with demonstrated application needs, preventing over-provisioning across the user base.
- Plan for growth headroom in hypervisor clusters, considering VM density limits and maintenance mode capacity constraints.
- Implement thin provisioning with monitoring alerts to prevent storage over-allocation and performance degradation.
Module 3: Desktop Image Management and Lifecycle Costs
- Standardize base images to minimize patching cycles and reduce testing overhead across departments.
- Use layering technologies selectively, weighing management flexibility against added licensing and performance overhead.
- Schedule image updates during maintenance windows to avoid disrupting user productivity and incurring overtime labor.
- Automate image build pipelines using version control and testing stages to reduce manual errors and rework.
- Retire outdated images systematically to reduce storage sprawl and security exposure from unpatched templates.
- Coordinate application packaging schedules with desktop refresh cycles to avoid conflicting update windows.
Module 4: Licensing and Compliance Optimization
- Validate Microsoft licensing requirements for VDI access based on device ownership (corporate vs. BYO).
- Negotiate Enterprise Agreements with Software Assurance to leverage VDA rights and reduce per-device costs.
- Track concurrent user sessions to ensure third-party application licenses are not over-deployed.
- Document virtualization rights for server applications that may require additional CALs when accessed from VDI.
- Implement license metering tools to reclaim unused software entitlements and avoid compliance penalties.
- Assess the cost-effectiveness of Windows 10/11 Enterprise multi-session versus per-user subscription licensing.
Module 5: Storage Cost Engineering and Optimization
- Compare the cost per IOPS of all-flash arrays versus hybrid storage for VDI workloads with high boot storm intensity.
- Implement storage quality of service (QoS) policies to prevent noisy neighbors from degrading performance for critical users.
- Use linked clones to reduce storage footprint, balancing savings against increased management complexity.
- Configure automated tiering to move inactive desktops to lower-cost storage without manual intervention.
- Monitor snapshot retention policies to avoid uncontrolled storage consumption from backup and testing activities.
- Evaluate content-based read caching solutions to reduce backend storage load and extend hardware lifespan.
Module 6: Network Architecture and Bandwidth Cost Control
- Select display protocol (PCoIP, Blast, HDX, RDP) based on WAN bandwidth costs and endpoint device capabilities.
- Deploy branch office caches or gateways to reduce backhaul traffic and associated bandwidth expenses.
- Implement QoS tagging for VDI traffic to prioritize real-time interactions over batch transfers.
- Limit peripheral redirection features based on security risk and bandwidth consumption per user role.
- Size internet breakout capacity at data centers to handle cloud application traffic from virtual desktops.
- Monitor protocol compression ratios to assess effectiveness and identify opportunities for bandwidth reduction.
Module 7: Operational Efficiency and Support Cost Reduction
- Design monitoring dashboards that correlate performance metrics with user complaints to reduce mean time to resolution.
- Standardize endpoint devices to minimize driver conflicts and reduce image customization effort.
- Implement self-service reset options for non-persistent desktops to reduce Level 1 support tickets.
- Use synthetic transactions to proactively detect login failures before users are affected.
- Document escalation paths for hypervisor, storage, and VDI platform issues to avoid cross-team finger-pointing.
- Archive inactive user sessions automatically to reclaim compute and license resources.
Module 8: Cloud and Hybrid Deployment Cost Trade-offs
- Compare reserved instance pricing in public cloud against on-premises depreciation schedules for equivalent workloads.
- Model data egress fees when migrating user data between cloud regions or back to on-premises systems.
- Assess the cost of hybrid identity synchronization and conditional access policies for cloud-hosted desktops.
- Size cloud desktops using burstable instances only for predictable, short-duration workloads to avoid performance surprises.
- Implement auto-scaling policies that align with business hours to avoid running unused desktops overnight.
- Track tagging compliance to allocate cloud desktop costs accurately to departments and chargeback systems.