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Case study · Education

Education systemsrebuilt to scale.

A large public education institution operating at municipal scale, supporting tens of thousands of students, educators and administrators across diverse academic disciplines. It carries the systemic pressures common to large education systems: heavy teacher workloads, limited personalization in large classes, uneven resource distribution, and rising student wellbeing needs. Its core systems were built around complex workflows on long development timelines, and could not scale elastically through admissions windows or peak online teaching.

Constraints and answers

Peaks the old systems could not take

The rebuild that could take them

01

Complex processes on long development cycles

Core education systems were built around complex workflows with long development timelines. Changes became risky and slow, particularly when internal teams or external vendors changed.

Answer

01

Cloud-native standardization

A cloud-native architecture using DevOps and container technologies to automate development, testing and operations.

02

Legacy systems unable to scale elastically

Existing systems could not scale elastically through periods of high concurrency, such as peak online teaching sessions or admissions windows, wasting resources and constraining performance.

Answer

02

Microservices modernization

Enrollment and teaching systems were redesigned as microservices, improving governance and letting each service evolve independently.

03

Low iteration efficiency from monolithic architecture

Large monolithic systems required extensive component configuration, which slowed system iteration and enhancement.

Answer

03

High-availability deployment

eLearning systems were given a cloud-native high-availability architecture to hold stability under high concurrency.

04

Heavy reliance on software vendors for operations

Operational dependence on vendors led to slow response times and ongoing operations and maintenance difficulties.

Answer

04

IT asset accumulation

The institution’s own cloud-native capability reduced vendor dependency and improved system stability and long-term reliability.

Each service can change now without the rest changing with it.

The results

30x faster eLearning, on 40 microservices.

30x
PERFORMANCE IMPROVEMENT
eLearning platform efficiency improved thirtyfold.
40+
MICROSERVICES DEPLOYED
Flexible, scalable enrollment systems built out of independent services.
HIGH AVAILABILITY AND SCALABILITY
Online teaching and academic services now hold through their own peaks.

Admissions week is the exam the platform has to pass.

The stack

What was deployed

The cloud-native platform for microservices governance, DevOps pipelines, service discovery, monitoring and high-availability application delivery across education systems.

The infrastructure foundation for the compute, networking and storage required to run university digital platforms reliably and at scale.

Nota sobre capacidades

Las capacidades, credenciales y referencias de implementación mostradas en este sitio reflejan el trabajo colectivo del equipo central de ingeniería de Amanah. Ciertos proyectos se entregaron bajo entidades previas o afiliadas. Las implementaciones soberanas son confidenciales por mandato, por lo que no se identifica a clientes individuales. Las referencias subyacentes son verificables bajo NDA.

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