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Cloud-native multi-tenant SaaS for ed-tech analytics

Microservices platform unifies fragmented assessment data behind LTI / QTI / CASE-compliant APIs.

SECTOR: Education SERVICES: Build, Upstream STATUS: Shipped · in production

Challenge

Assessment data arrived from multiple LMS and assessment platforms in incompatible formats. Manual ingestion + normalization burned weeks of analyst time per cohort. The platform needed to support multi-tenancy across districts, scale to district-wide concurrency during exam windows, and emit standards-compliant data via LTI, QTI, and CASE APIs.

Solution

A .NET Core microservices platform on Kubernetes, with RabbitMQ for asynchronous ingestion, Azure Synapse Analytics as the warehouse, and Power BI Embedded for tenant-facing dashboards. Power Automate Desktop bridges legacy file-drop sources. Standards-compliant connectors (LTI 1.3, QTI 3.0, CASE 1.1) emit data to downstream LMS and reporting tools without custom integration per district.

Engagement

  • Sector: Education
  • Service lines: Build · Upstream
  • Client: EdTech analytics provider serving K-12 districts and higher-ed (anonymized)
RESULTS · KEY METRICS
Standards-compliant
LTI 1.3, QTI 3.0, CASE 1.1 endpoints
Multi-tenant
District-level isolation + role-based access
Burst-tolerant
Autoscale handles assessment-window load spikes
Real-time
Tenant dashboards refresh as data ingests
STACK · CS-03SHIPPED
SectorEducation
ServicesBuild · Upstream
ClientEdTech analytics provider serving K-12 districts and higher-ed (anonymized)
.NET Core Kubernetes RabbitMQ Azure Synapse Analytics Power BI Embedded Power Automate Desktop LTI 1.3 QTI 3.0 CASE 1.1
Client voice
Term-start traffic was 80× baseline. The platform held; the old SaaS would have invoiced us six figures for the burst.
Head of Platform · K-12 ed-tech analytics provider
RELATED · OTHER CASES ALL CASES →
RELEVANT FIELD GUIDES ALL GUIDES →

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