CASE STUDY
The University of Edinburgh's Journey to a Modern Cloud-Based Architecture
Product Area
Platform Engineering
Region
Europe
Industry
Education
Highlights
Quicker time-to-market
with an API-first architecture
Real-time data
with event driven architectue
Faster troubleshooting
with consolidated logs
Overview
The University of Edinburgh is a public research university based in Edinburgh, Scotland. Founded in 1582, it is one of Scotland's four ancient universities and the sixth-oldest university in continuous operation in the English-speaking world. Edinburgh is the eighth-largest university in the UK by enrolment and receives over 69,000 undergraduate applications per year, making it the third-most-popular university in the UK.
We really like just using Choreo as a service so we can just crack on, develop the integrations, and focus on our business needs rather than having to think about the platform and infrastructure."
Martin Jones
Integration Architect
The University of Edinburgh
Objective
The University of Edinburgh aimed to modernize its architecture by adopting an API-first approach, managed by a technology provider, to reduce maintenance overhead and accelerate the go-to-market timeline for future integrations.
The objective was to implement a solution offered as a service, enabling a focus on developing business-critical integrations without the burden of managing platform infrastructure.
Solution
The University of Edinburgh transitioned from a point-to-point on-premise integration architecture to a cloud-based architecture. They migrated this solution from an on-premise model to Choreo — an internal developer platform as a service.
Results
- Using an as-a-service solution reduced their maintenance overheads and accelerated their go-to-market.
- By implementing an event-driven approach using APIs, data now flows through their systems in real-time, allowing changes and notifications to be triggered instantly.
- Consolidating all logs onto a single platform has accelerated troubleshooting and insights gathering, eliminating the need to sift through AWS logs to locate individual transactions for specific integrations.
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