How we scaled our backend with read replicas when Redis fell short

On November 11, 2025, a team of full stack developers encountered performance issues with their Redis database, prompting them to seek solutions for scaling their backend. By implementing read replicas, they were able to enhance their system's capacity and reliability. This situation underscores a common challenge in technology where developers often prioritize new features over system performance. The transition to read replicas not only resolved immediate performance concerns but also provided a sustainable approach to managing increased data loads. As technology continues to evolve, the ability to adapt backend architectures becomes crucial for maintaining efficiency and meeting user demands.