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Twibble experienced performance limitations and scalability challenges due to its legacy technology stack. The existing architecture, particularly the use of Elasticsearch for database operations and the Spring message queue interacting with Elasticsearch, struggled to handle increasing data volumes and user traffic, leading to reduced resource efficiency and increased operational costs.
Twibble is a US-based SaaS platform empowering content creators to efficiently schedule and manage content across multiple social media channels, with a primary focus on Twitter.
This project is expected to result in a 30% reduction in resource usage, a 50% reduction in monthly operational expenses, improved system stability, enhanced user experience, and increased scalability to support future growth. It will enable Twibble to confidently handle increased demand and maintain its position as a leading content curation platform.