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Cloud Transformation of a Nigerian Public University with AWS

Transnetcloud10 Apr 2026
fuask

Federal University of Applied Sciences Kachia (FUASK)

About FUASK

The Federal University of Applied Sciences Kachia is a newly established public university in Kaduna State, Nigeria. It aims to provide advanced digital and applied science education to thousands of students across the country.

Industry

Education

Location

Kaduna State, Nigeria

Use Cases

Migration, Databases, Backup & Recovery, Cloud Networking

01

Overview

Transnet Cloud enabled a Nigerian public university to migrate to AWS, improving scalability, performance, and system reliability while supporting high student traffic and optimizing infrastructure costs.

02

The Challenge

As a newly established institution with surging enrollment, FUASK faced inadequate infrastructure to handle peak admissions traffic. They suffered from limited scalability, risk of downtime, inefficient backups, and highly constrained resource management frameworks.

Proposed Solution & Architecture

Transnet Cloud implemented a robust, globally-accessible AWS ecosystem tailored for high-traffic academic portals.

Amazon EC2 (Linux)

Scalable compute infrastructure

Amazon RDS Aurora

Managed relational database

Amazon S3

Secure storage for documents and backups

Amazon CloudFront

Content delivery for faster access

Amazon API Gateway

API management and integration

Amazon DynamoDB

NoSQL database for high-speed workloads

Amazon Route 53

DNS and traffic routing

Outcomes & Success Metrics

Measurable improvements driving the next generation of Nigerian digital education.

Achieved 99.9% system uptime during peak academic periods

Improved application performance and response time by over 60%

Enabled seamless scalability to handle thousands of concurrent users

Reduced infrastructure-related downtime significantly

Improved data security and backup reliability

Enhanced user experience for students and staff

Lessons Learned

Early workload assessment is critical for accurate cost optimization.

Designing for scalability from the start prevents future bottlenecks.

Implementing monitoring and automation improves system reliability.

Cloud-native services significantly reduce operational overhead.

Training internal teams improves long-term cloud adoption success.

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