Anonymized case studyDigital platform (confidential)

High-volume search system

A search infrastructure serving a large, frequently changing catalog with fast, relevant results and flexible filtering.

  • .NET
  • search platform
  • event-driven architecture
  • PostgreSQL
  • Azure
This work is under confidentiality and is described without names, figures or internal details.

01The challenge

The catalog was large, updated constantly and queried in many ways at once. Database queries could not keep up, relevance was poor and every new filter made the problem worse.

02The solution

A dedicated search platform was introduced alongside the primary database, with an indexing pipeline that keeps it in sync through events. Queries were redesigned around relevance, facets and paging, and the whole path is monitored for latency and freshness.

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