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Platform Engineering

Data Architecture Modernisation for IASIS.

Legacy file ingestion replaced with event-driven APIs. Azure-native. CI/CD from day one.

Industry
Insurance & Superannuation Administration
Region
Australia and Oceania
Services
Platform Engineering · Data Engineering
Technology
.NET APIs · Azure Function Apps · Event-Driven Architecture · CI/CD
01/ the brief

Unreliable ingestion. Scaling limits. An internal team too stretched to fix it.

IASAS is one of Australia's leading boutique insurance and superannuation administration providers, partnering with the country's largest life insurers. As business volumes grew, their legacy file-based data ingestion was failing under pressure — and the internal technology team, focused on production support, had no capacity to modernise it.

  • Third-party file uploads frequently contained invalid or inconsistent data — causing ingestion failures and downstream quality issues
  • Sequential ingestion couldn't scale horizontally — creating bottlenecks during peak processing periods
  • Core ingestion components built on aging technology — limiting reliability, performance, and extensibility
  • Internal technology team focused on production support, with no capacity to modernise the platform
IASAS data architecture modernisation case study
02/ the solution

API-driven event architecture replacing file-based ingestion — plus engineering capacity to keep the business running.

Crystal Delta modernised IASAS's data ingestion across two complementary streams: replacing the legacy architecture with a modern event-driven API layer on Azure, and providing staff augmentation to support ongoing operations while the internal team focused on strategic initiatives.

What's under the hood
  • New .NET APIs and Azure Function Apps replacing legacy file-based ingestion with a reliable, event-driven architecture
  • Automated CI/CD pipelines enabling consistent, safe deployments from QA through to production
  • Data validation rules defined at ingestion — preventing invalid data from propagating downstream
  • Horizontal scalability and parallel processing enabling the platform to handle peak data volumes without bottlenecks
  • Staff augmentation supporting existing platform operations, freeing the internal team for strategic work
03/

The Impact

Modernised ingestion
Modernised ingestion

Legacy file-based process replaced with a robust API-driven, event-based architecture.

Scalable throughput
Horizontal scalability eliminated the peak-period bottlenecks that had been causing failures.
Faster releases
CI/CD pipelines enabled faster enhancements and safer deployments from day one.
Future-ready
IASAS operates on a scalable, extensible platform capable of supporting future growth and new integrations.
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