Helping Grubhub Diners Search for the Perfect Meal

Ever felt hungry but couldn't decide what to eat? The search team at Grubhub helps diners find the perfect meal. In this talk, see how Elasticsearch helps Grubhub deliver.

Discover what drove Grubhub to convert to Elasticsearch and see the ways the company tailored their stack to improve delivery — both for their engineers and diners. Hear about the importance of ephemeral clusters in deployment, how and why to build integrations with Eureka, how to use Impression Engine to improve search results, and more of Grubhub's favorite recipes for testing, improving performance, and optimizing relevance.

Noel Curtis

Software Engineering Team Lead, Grubhub

Noel is an Engineering Team Lead at Grubhub where he has been working on Hyperlocal Food First Search. At Grubhub he has built tooling for ingest and query pipelines, tuning relevance, as well as frameworks for A/B testing search. He has also worked extensively on performance testing and tuning of Elasticsearch, as it is a key part of the infrastructure.