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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.

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CASE FILE · CS-03 SHIPPED
“Term-start traffic was 80× baseline. The platform held; the old SaaS would have invoiced us six figures for the burst.”
Term-start traffic burst handled80×
ClientK-12 ed-tech analytics provider
SectorEducation
Service linesBuild · Upstream
Window10 weeks fixed
READ THE FILE ↓

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)
Online learning analytics screen
CASE FILE · CS-03 · CLOUD-NATIVE MULTI-TENANT SAAS FOR ED-TECH ANALYTICS
Microservices platform unifies fragmented assessment data behind LTI / QTI / CASE-compliant APIs.
ENGAGEMENT TIMELINE · 10 WEEKS FIXED

Every engagement runs through the same five gates of the FORGE method. Here’s how this case ran.

W0 · FRAME
Multi-tenancy requirements, standards review (LTI / QTI / CASE), burst-load capacity targets, district-onboarding model.
W1 · OUTLINE
.NET Core microservices design, Synapse warehouse schema, RabbitMQ ingestion topology, Power BI tenancy model.
W2–7 · REBUILD
Microservices build, async ingestion pipeline, tenant-scoped dashboards, standards-compliant connectors (LTI / QTI / CASE).
W8 · GOVERN
Load testing for term-start spike, security review, multi-tenant data-isolation audit.
W9–10 · ENGAGE
First-cohort district onboarding, performance tuning, dashboard refinement based on early-user feedback.
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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