Problem Statement

The existing system had accumulated significant technical debt, outdated dependencies, minimal documentation, and an unstructured codebase with over 200 APIs, many of which were unused or redundant.The infrastructure and architecture were inefficient, with multiple fragmented Lambda services, expensive third-party tools, and incorrect design decisions such as using Elasticsearch for caching and maintaining disconnected databases.The mobile and admin applications required stabilization due to outdated frameworks and inconsistent implementation across different parts of the system.Development of a DSL mini application was required on short notice, despite limited prior experience with the platform and minimal documentation.The client’s automation and scraping tools were unstable and poorly structured, slowing development and requiring deep analysis and refactoring.Scraping large fashion platforms required overcoming strong anti-scraping mechanisms while ensuring the system could scale to handle large product volumes efficiently.Performance optimization was essential because the platform serves users in Iraq, where slower network conditions required minimizing database calls, optimizing APIs, and implementing efficient caching.