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How CloudLogically Helped Texas A&M University

Securing $50M+ in Housing Revenue Through Cloud Modernization

Improved transaction processing speed by 30% across the Residential Housing system serving 11,000+ students in 25+ residence halls .
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30%

Faster Transaction Processing

$50M+

Annual Housing Revenue Protected

11,000+

Students Served Across 25+ Residence Halls

60,000+

University Enrollment

Challenge

Texas A&M University’s Department of Residential Housing manages one of the largest campus living operations in the United States. With 25+ residence halls, 11,000+ on-campus residents, and an incoming freshman class of nearly 10,000 students each year, the housing system generates over $50 million in annual revenue. But the legacy infrastructure powering it was struggling to keep pace.

Problem

  • Oracle PeopleSoft transactions were slow and unreliable during peak periods
  • Data silos between housing, billing, and student records created operational blind spots
  • On-prem servers lacked the scalability to handle room selection surges
  • Manual, paper-based processes slowed down administrative workflows

Value of Modernization

  • Protect and scale a $50M+ revenue operation with reliable infrastructure
  • Unify data across housing, billing, and student information systems
  • Ensure seamless room selection and move-in experiences for thousands of students
  • Free up IT staff to focus on strategic initiatives instead of firefighting

Before & After

Before

The university relied on an aging Oracle PeopleSoft deployment running on legacy on-premises servers. Transaction processing was sluggish, especially during peak housing events like room selection and fall move-in. Housing, billing, and student data lived in disconnected silos, making it difficult for administrators to get a unified view of operations. Manual processes and outdated integrations created bottlenecks across the Department of Residential Housing.

After

CloudLogically designed a scalable, cloud-native solution on AWS that integrated seamlessly with PeopleSoft while eliminating performance bottlenecks. Custom ETL pipelines built with AWS DMS and AWS Glue unified data across systems. Transaction processing speed improved by 30%, and the platform could now scale elastically to handle peak-period surges without degradation, reliably supporting $50M+ in annual housing revenue.

Pain Points That Resonate with Similar Institutions

Our PeopleSoft System Can't Handle Peak Loads
Room selection events, fall move-in, and enrollment surges overwhelmed the legacy system, causing timeouts and failed transactions at the worst possible moments.
Residential housing, billing, financial aid, and student records each operated in disconnected systems, making it impossible to get a unified operational view.
Physical servers were reaching end of life, requiring constant patching and maintenance. Scaling meant months of procurement cycles, not minutes.
Engineers were consumed by infrastructure maintenance and manual data reconciliation instead of building solutions that move the university forward.
With enrollment surpassing 60,000 and residential demand increasing annually, the existing infrastructure had no clear path to scale.

Solution

📋

OLA & Workload Assessment

🏗️

Scalable Architecture Design

🔄

Data Pipeline & Integration

📈

Optimize & Monitor

OLA & Workload Management Assessment:

Conducted a thorough Operational Level Agreement and workload assessment to identify bottlenecks, map dependencies, and establish performance baselines before any migration work began.

Scalable Architecture Design:

Built cloud-native solutions on AWS with design reviews ensuring alignment with industry standards. Built for elastic scalability to handle enrollment surges and peak housing events.

Data Pipeline & Integration:

Built custom ETL pipelines using AWS DMS and AWS Glue to break down data silos between PeopleSoft, housing management, billing, and student information systems.

Optimize & Monitor:

Implemented continuous performance monitoring and optimization to sustain the 30% transaction speed improvement, ensuring reliability during critical periods like room selection and move-in.

AWS Services Deployed

Amazon EC2

Amazon RDS

Amazon S3

AWS Lambda

Amazon API Gateway

Amazon CloudFront

Amazon Route 53

AWS Database Migration Service

AWS Glue

Timeline of Implementation

Phase 1 — Months 1–3

OLA Assessment, workload analysis, and architecture design

Phase 2 — Months 4–7

AWS infrastructure buildout, ETL pipeline development

Phase 3 — Months 8–12

PeopleSoft integration, data migration, and testing

Phase 4 — Months 13–18

Optimization, monitoring, mentorship program, and handoff

Investing in the Next Generation

Beyond the technical deliverables, CloudLogically embedded Computer Science and Corps of Cadets students into the project team as research assistants. These students gained hands-on experience with enterprise-grade AWS architecture, ETL pipeline development, and real-world software engineering practices — accelerating their career readiness while contributing meaningful work to the project.

CloudLogically also mentored junior developers and onboarded new team members within the Department of IT, ensuring long-term knowledge transfer and self-sufficiency after the engagement concluded.

CS + Cadets

Students Embedded as Research Assistants

Hands-On

Real-World AWS & Software Engineering Training

Junior Devs

Mentored & Onboarded Within IT Department

Full Handoff

Knowledge Transfer for Long-Term Self-Sufficiency

VICE CHANCELLOR RECOMMENDATION

CloudLogically’s Aamir Aftab received a formal recommendation from the Vice Chancellor at Texas A&M University in recognition of the exceptional work delivered for the Department of Residential Housing.

— Office of the Vice Chancellor, Texas A&M University

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See how CloudLogically can modernize your institution’s infrastructure and protect your revenue.
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