Description

This curriculum spans the full lifecycle of data center planning and operations, equivalent in scope to a multi-phase infrastructure transformation program, covering technical design, operational execution, and governance across power, cooling, networking, and compliance domains.

Module 1: Data Center Siting and Facility Planning

Evaluate geographic risk factors including seismic activity, flood zones, and political stability when selecting a new data center location.
Assess proximity to fiber optic backbone routes and cloud on-ramps to minimize latency for critical applications.
Negotiate power service agreements with utility providers, including SLAs for uptime and provisions for backup generation.
Determine optimal facility size based on projected IT load growth over a 5–7 year horizon, factoring in modular expansion capabilities.
Balance cost of land acquisition against local tax incentives and regulatory compliance requirements for data sovereignty.
Design physical access control zones using layered security perimeters, including mantraps and biometric verification at entry points.
Integrate local environmental regulations into facility design, particularly for cooling tower discharge and noise emissions.

Module 2: Power Infrastructure and Energy Management

Size UPS systems to support peak load with N+1 redundancy, accounting for future capacity increases and battery runtime requirements.
Select between rotary and static UPS technologies based on tolerance for harmonic distortion and maintenance overhead.
Implement power monitoring at the PDU, rack, and device level to enable granular energy usage reporting and chargeback.
Configure generator auto-failover testing schedules that minimize risk of runtime failure during actual outages.
Optimize PUE through dynamic voltage regulation and transformer load balancing across phases.
Deploy DCIM tools to correlate power consumption with IT workload distribution and thermal profiles.
Negotiate power purchase agreements (PPAs) for renewable energy to meet corporate sustainability mandates.

Module 3: Cooling Architecture and Thermal Optimization

Choose between chilled water, direct expansion (DX), and free cooling systems based on regional climate and uptime requirements.
Implement hot aisle/cold aisle containment with pressure differentials to prevent air mixing and improve cooling efficiency.
Calibrate CRAC unit setpoints using CFD modeling to eliminate hotspots without overcooling low-density zones.
Integrate economizers with building management systems to switch modes based on real-time outdoor temperature and humidity.
Monitor rack inlet temperatures with wireless sensors to validate cooling delivery at the device level.
Design redundancy in cooling loops to support maintenance without impacting IT operations.
Evaluate liquid cooling adoption for high-density GPU or AI training racks exceeding 20kW per cabinet.

Module 4: Network Architecture and Connectivity

Architect spine-leaf topologies with sufficient oversubscription ratios to support east-west traffic in virtualized environments.
Deploy BGP in the data center for multi-homing to multiple carriers and dynamic path selection.
Implement micro-segmentation using VXLAN or NSX to enforce workload isolation without VLAN sprawl.
Configure LACP and MLAG for multi-chassis link aggregation to eliminate single points of failure.
Integrate network taps and SPAN ports with SIEM systems for continuous traffic monitoring and threat detection.
Plan fiber cabling pathways with slack and labeling standards to support future reconfiguration and troubleshooting.
Establish cross-connect agreements with carriers in carrier-neutral colocation facilities for direct cloud peering.

Module 5: Server and Storage Infrastructure Deployment

Select between blade, rack, and hyperconverged systems based on density, serviceability, and lifecycle management needs.
Standardize firmware and BIOS configurations across server fleets using configuration management tools like Ansible or Puppet.
Size storage arrays with tiered performance (SSD, NVMe, HDD) aligned to application I/O profiles and RPO requirements.
Implement storage QoS policies to prevent noisy neighbor issues in shared SAN environments.
Configure RAID levels and rebuild priorities based on data criticality and acceptable rebuild time windows.
Deploy persistent memory (PMem) for low-latency database workloads requiring byte-addressable storage.
Validate storage replication consistency across metro distances for synchronous mirroring setups.

Module 6: Virtualization and Workload Orchestration

Design vSphere or Hyper-V clusters with DRS and HA policies tuned to application affinity and anti-affinity rules.
Implement vMotion network segmentation and bandwidth reservation to avoid performance degradation during live migrations.
Size resource pools with memory overcommit ratios that reflect actual workload utilization patterns.
Integrate Kubernetes clusters with underlying storage and network fabric using CSI and CNI plugins.
Configure pod disruption budgets and node taints to maintain availability during node maintenance.
Enforce VM template standardization to ensure compliance with security baselines and patch levels.
Monitor container density per node to avoid CPU and memory contention in multi-tenant environments.

Module 7: Data Protection and Resilience

Design backup retention policies that align with legal hold requirements and RTO/RPO for each data classification tier.
Implement immutable backup storage to protect against ransomware encryption and unauthorized deletion.
Test disaster recovery runbooks quarterly using failover to secondary sites without disrupting production.
Configure application-consistent snapshots for databases using VSS or pre-freeze scripts.
Validate replication lag for critical systems to ensure data currency during failover events.
Deploy air-gapped backups for crown jewel systems using offline tape or optical media.
Integrate backup monitoring with centralized alerting systems to detect job failures within SLA thresholds.

Module 8: Monitoring, Automation, and Operations

Deploy distributed monitoring agents to collect metrics from physical and virtual layers with minimal performance impact.
Configure alert suppression windows and escalation paths to prevent alert fatigue during planned maintenance.
Automate patch deployment using change windows and rollback procedures for failed updates.
Integrate runbook automation with ticketing systems to reduce mean time to resolution (MTTR).
Implement capacity forecasting models based on historical growth trends and seasonal workload variation.
Standardize log collection formats and retention periods to support forensic investigations and compliance audits.
Use AI-driven anomaly detection to identify performance deviations before they impact users.

Module 9: Compliance, Governance, and Risk Management

Map data center controls to regulatory frameworks such as HIPAA, GDPR, or PCI-DSS based on data residency and processing.
Conduct third-party audits of physical and logical access logs to verify segregation of duties.
Enforce encryption of data at rest using self-encrypting drives or software-based solutions with centralized key management.
Document chain of custody procedures for hardware disposal to prevent data leakage from decommissioned devices.
Implement role-based access control (RBAC) for infrastructure management consoles with multi-factor authentication.
Perform tabletop exercises for cyber-physical threats including insider sabotage and supply chain compromises.
Review vendor SLAs for managed services to ensure alignment with internal incident response timelines.