Uber Eats Rebuilds Search Pipeline to Cut End-to-End Latency by 50%

Leela Kumili — Fri, 02 Oct 2026 14:22:00 GMT

Uber has rebuilt major parts of the Uber Eats search pipeline, reporting a 50% reduction in end-to-end latency. Changes include Above-the-Fold measurement, reduced retrieval work, parallel hydration, advertising data redesign, infrastructure optimizations, and an agentic coding workflow. Uber is also exploring microbatching, product-based retrieval, and HTTP multipart streaming.

By Leela Kumili

Presentation: Keeping the Mainline Green across Diverse Language Monorepos

Dhruva Juloori — Thu, 01 Oct 2026 09:33:00 GMT

Dhruva Juloori discusses how Uber maintains green mainlines across massive monorepos handling 65,000+ monthly changes. He explains how SubmitQueue uses binary speculation trees, conflict analysis, and machine learning models to predict build success and execution times. Juloori shares how bypassing large diffs slashed CI resource usage by 53% while accelerating PR landing times by 37%.

By Dhruva Juloori

InfoQ - Uber

Uber Eats Rebuilds Search Pipeline to Cut End-to-End Latency by 50%

Presentation: Keeping the Mainline Green across Diverse Language Monorepos