The client manages one of the largest archives of off-copyright historic newspapers in the world, with nearly 300 million pages of content.
Their platform enables consumers, institutions, and libraries to investigate historical records and trace family history.
The client needed a scalable, high-performance platform to support growing user demand, capture missed revenue opportunities, reduce rising operational costs, and maintain competitiveness. The key goals were to:
Assessed multiple off-the-shelf products for architecture feasibility, scalability, maintainability, and cost-effectiveness to ensure alignment with the client’s goals.
Developed an API-first and cloud-native system using an Azure-based tech stack, resulting in high availability, modularity, and seamless integration across services.
Conducted a POC (proof of concept) and selected Cosmos DB for its ease of use and Azure compatibility, which improved query performance, minimized future migration costs, and supported long-term scalability for global expansion.
Built an iterative, user-facing application POC, demonstrating core functionality and enabling rapid enhancement of features.
An intuitive UI-enabled effortless exploration of complex family trees, boosted user engagement and retention.
A cloud-native architecture with Cosmos DB reduced infrastructure and maintenance costs through auto-scaling and pay-as-you-go pricing.
Sub-second query performance and high uptime ensured a seamless user experience, reducing operational risks.
An expandable design allowed rapid onboarding of new institutions without major cost spikes, supporting global scalability.
Simplified workflows and enhanced auditing led to improved governance and compliance with privacy regulations.
Digital transformation for archives modernized legacy systems, creating a foundation for innovation and new revenue streams through integrations with genealogy apps and social platforms.
