Description

This curriculum spans the equivalent depth and breadth of a multi-workshop technical advisory engagement, covering the full lifecycle of VDI storage planning, design, and operations as typically managed by enterprise infrastructure teams.

Module 1: Assessing Storage Requirements for VDI Workloads

Conduct user profile analysis to differentiate between task workers, knowledge workers, and power users when estimating IOPS and throughput needs.
Map application workloads to storage performance profiles, including identifying peak boot, logon, and antivirus scan times.
Calculate persistent versus non-persistent desktop storage ratios based on departmental data retention policies and compliance mandates.
Size storage capacity for linked clones by factoring in base image size, delta disk growth, and recompose frequency.
Account for snapshot overhead in backup windows, especially when snapshots coincide with high I/O events like patching cycles.
Validate storage assumptions using pilot deployments with real user workloads instead of synthetic benchmarks.

Module 2: Selecting Storage Architectures for VDI

Evaluate SAN versus hyper-converged infrastructure (HCI) based on existing data center skill sets and scalability roadmaps.
Compare block, file, and object storage backends for compatibility with hypervisor-specific VDI platforms like VMware Horizon or Citrix Virtual Apps and Desktops.
Assess all-flash arrays (AFA) versus hybrid arrays based on sustained random read/write patterns during peak usage.
Determine whether to deploy dedicated VDI storage or share infrastructure with other workloads, considering noise tenant risks.
Integrate storage quality of service (QoS) policies to prevent runaway I/O from impacting desktop performance.
Plan for storage controller failover behavior during maintenance or failure events to avoid desktop disconnects.

Module 3: Designing Image and Snapshot Management Strategies

Establish a golden image update cadence that balances security patching with storage churn from recomposing linked clones.
Implement differential snapshot chains with defined depth limits to prevent performance degradation from excessive delta disks.
Configure storage-level snapshots to align with backup schedules while minimizing space consumption during consolidation.
Define retention policies for user-specific snapshots in persistent desktops based on legal hold requirements.
Automate image versioning and retirement using orchestration tools to reduce manual errors in image promotion.
Monitor and clean up orphaned snapshots and stale clones that consume storage without active desktop associations.

Module 4: Implementing Storage Tiering and Caching

Deploy read caches on host-side SSDs for non-persistent desktop pools to absorb boot storm I/O.
Configure automated storage tiering policies to move inactive user data from high-performance to capacity tiers.
Size write-back cache appropriately for persistent desktops to handle bursty user save operations without data loss risk.
Monitor cache hit rates and adjust cache allocation when introducing new applications with different access patterns.
Disable caching on storage volumes used for database-backed applications to maintain data consistency.
Validate cache persistence mechanisms across host reboots to prevent cache warm-up delays affecting user experience.

Module 5: Integrating Backup and Disaster Recovery

Coordinate backup windows with non-peak usage hours to avoid contention on shared storage systems.
Exclude non-persistent desktop base images from regular backups while ensuring golden image backups are version-controlled.
Implement application-consistent snapshots for persistent desktops hosting local databases or email caches.
Replicate user profile storage separately from desktop VMs to enable independent recovery of data and configuration.
Test failover procedures for storage replication to secondary sites, including DNS and broker reconfiguration.
Document RPO and RTO for desktop storage components and validate alignment with business unit SLAs.

Module 6: Monitoring and Performance Optimization

Deploy storage performance monitoring at the LUN, volume, and VM level to isolate bottlenecks during user complaints.
Correlate hypervisor-level latency metrics with storage array response times to identify misconfigured multipathing.
Adjust queue depth settings on virtual disks when encountering storage array throttling during high-concurrency events.
Use historical I/O trend data to forecast capacity and performance needs before scaling desktop pools.
Identify and remediate misaligned partitions or suboptimal disk formatting that degrade random I/O performance.
Baseline storage performance during initial deployment to establish thresholds for alerting on degradation.

Module 7: Governance and Operational Policies

Enforce storage quotas on persistent desktops to prevent uncontrolled user data growth and capacity overruns.
Define ownership and approval workflows for provisioning new VDI storage volumes across departments.
Document storage configuration standards, including RAID levels, block sizes, and multipath policies, for audit compliance.
Implement role-based access control (RBAC) for storage management interfaces to limit configuration changes to authorized personnel.
Integrate storage change management into ITIL processes to track modifications affecting VDI performance or availability.
Conduct quarterly storage efficiency reviews to reclaim unused capacity and renegotiate vendor contracts based on actual usage.

Module 8: Planning for Scalability and Technology Refresh

Design storage network topology with sufficient bandwidth headroom to support future VDI expansion without re-cabling.
Validate storage array scalability limits against projected desktop growth over a three-year horizon.
Plan for non-disruptive storage firmware and driver updates during maintenance windows to avoid desktop outages.
Assess compatibility of new storage features (e.g., deduplication, compression) with existing VDI workloads before enabling.
Develop a storage refresh roadmap that aligns with hypervisor and server lifecycle replacements.
Test storage migration procedures using live migration tools to minimize downtime during infrastructure upgrades.