Building Autosuggest Infrastructure for High-Performance E-commerce

Dive into a technical deep dive on building and reinventing autosuggest infrastructure for otto.de, one of the world's largest e-commerce platforms. Explore the journey of OTTO's cross-functional team Squirrel as they tackle complex architecture and technology challenges. Learn about the implementation of Python, Kotlin, Coroutines, and Redis, while gaining insights into scalability and observability strategies. Discover smart data structures, high-performance solutions for handling heavy loads, and valuable lessons learned from the team's continuous improvement process. Although primarily focused on architecture rather than search relevance, this 46-minute talk by software engineers Tom Gilke and Tobias Kässmann from Otto Group offers valuable insights for developers and engineers working on large-scale e-commerce systems. Conclude with a Q&A session to further explore the intricacies of building robust autosuggest infrastructure.