Client Case Study · Higher Education

How a State University Extended Server Life Four Years Past EOSL and Saved $840K

[CLIENT DESCRIPTOR] deferred a [$2.1M] server refresh by extending Dell and HPE infrastructure [four years past OEM end-of-service-life] under a WUC third-party maintenance agreement — redirecting capital to student-facing initiatives.

$840K
Saved in Year One
4 yrs
Post-EOSL Extension
99.95%
Uptime Delivered

Client Profile

Industry
Higher Education
Size
[State university system, 45,000+ students]
Region
[Southeast U.S.]
Infrastructure
[~680 servers and storage arrays across 3 campuses and 2 data centers]

The Challenge

A capital-constrained refresh cycle meeting a wall of OEM end-of-service-life announcements

The university’s central IT team supported [Banner ERP, Blackboard LMS, research computing clusters, and campus residential networks] on an aging fleet of Dell PowerEdge R730 and HPE ProLiant Gen9 servers. [Over 40% of the fleet] was scheduled to reach OEM end-of-service-life within [18 months], with no budget allocated for replacement in the coming biennium.

OEM quotes for extended support after EOSL ran [2.3× to 2.8×] standard contract pricing. The CIO faced a choice: cut research and teaching programs to fund an unplanned [$2.1M] refresh, or find a way to responsibly extend hardware life while maintaining the uptime research faculty and students depend on.

The WUC Solution

Four-year post-EOSL maintenance coverage with pre-staged parts and research-aware SLAs

01

Fleet-wide EOSL risk assessment

WUC engineers audited every Dell and HPE asset reaching EOSL within [24 months], scoring each by failure risk, workload criticality, and replaceable-parts availability on the secondary market. Produced a [five-year deferral plan] extending useful life on [~85% of the fleet] with acceptable risk.

02

Academic-calendar-aware SLA tiers

Coverage tiered to academic operations: [2-hour onsite SLA for residential network and Banner during fall/spring terms, 4-hour for research clusters, next-business-day during summer and intersession]. Intersession windows were used for proactive component swaps to reset aging risk.

03

On-campus parts cache + dedicated education-sector engineers

WUC established a [parts cache in the primary data center] covering the top 90% of likely-failure components for the covered fleet. A dedicated team of [three higher-ed-specialist engineers] was assigned, familiar with FERPA constraints and university change-management windows.

04

Predictive monitoring for aging hardware

WUC’s monitoring platform was tuned for EOSL-risk patterns: disk SMART trends, power-supply degradation, thermal drift on aging chassis. Predictive tickets opened [an average of 11 days] before component failure — enabling scheduled replacements during academic-calendar maintenance windows instead of emergency response.

The Results

Year-one outcomes

$840K
Savings in year one
vs. OEM post-EOSL quote
99.95%
Covered-asset uptime
better than final-year OEM coverage
$2.1M
Capital refresh deferred
redirected to teaching initiatives
4 yrs
Post-EOSL life extension
on 85% of aging fleet
11 days
Avg. predictive lead time
on component-failure alerts
ROI in 2 mo.
Break-even on transition
vs. typical 9–12 month payback

Every dollar we don’t spend on premature hardware refresh is a dollar we can put into a research grant or a student program. WUC gave us the confidence to extend our fleet four years without betting the semester on it.

[Photo]
[Client name, title]
[State University System] · Identity withheld under NDA

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Client identity protected under NDA. Figures derived from [engagement documentation on file]. Results are representative of similar engagements; actual outcomes vary by infrastructure mix, contract terms, and service tier.

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