Etsy Engineering5 min readJun 23, 2023

The Problem with Timeseries Data in Machine Learning Feature Systems

Introduction The Feature Systems team at Etsy is responsible for the platform and services through which machine learning (ML) practitioners create, manage and consume feature data for their machine l

PythonTimeseries DataMachine LearningFeature EngineeringData Systems

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Making Ads Count: Using MMoE and Auxiliary Tasks to Better Connect Buyers & Sellers

When buyers search on Etsy, they need to quickly and easily find the perfect item. At the same time, sellers need to be confident their unique products are...

Etsy Engineering11 min18d ago

Migrating Etsy’s database sharding to Vitess

Etsy has maintained a sharded MySQL architecture since around 2010. This database cluster contains most of Etsy’s online data and is made up of ~1,000 tables...

Distributed SystemsDatabases

MySQLVitessKubernetesDatabase ShardingLarge Scale SystemMicroservicesDatabase Architecture

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The Problem with Timeseries Data in Machine Learning Feature Systems

Making Ads Count: Using MMoE and Auxiliary Tasks to Better Connect Buyers & Sellers

Migrating Etsy’s database sharding to Vitess

How Etsy Uses LLMs to Improve Search Relevance