• When Etsy decided last year to migrate our operations to Google Cloud Platform (GCP), one of our primary motivations was to enable our machine learning teams with scalable resources and the latest big-data and ML technologies. Early in the cloud migration process, we convened a cross-functional team between the Data Engineering and Machine Learning Infrastructure groups […]
  • Previously, we’ve posted about the importance we put in Etsy’s experimentation systems for our decision-making process. In a continuation of that theme, this post will dive deep into an interesting edge case we discovered. We ran an A/B test which required a 5% control variant and 95% treatment variant rather than the typical split of […]
  • Capacity planning for the web and API clusters powering etsy.com has historically been a once per year event for us.The purpose is to gain an understanding of the capacity of the heterogeneous mix of hardware in our datacenters that make up the clusters. This was usually done a couple of weeks before the time we […]
  • Introduction Writing documentation is like trying to hit a moving target. The way a system works changes constantly, so as soon as you write a piece of documentation for it, it starts to get stale. And the systems that need docs the most are the ones being actively used and worked on, which are changing […]
  • Etsy relies heavily on experimentation to improve our decision-making process. We leverage our internal A/B testing tool when we launch new features, polish the look and feel of our site, or even make changes to our search and recommendation algorithms. For years, Etsy has prided ourselves on our culture of continuous experimentation. However, as our […]
  • Imagine you’re browsing the web from your overpriced California apartment one day and you find a neat new website with some really cool stuff. You pick out a few items, add them to your cart, and start the checkout process. You get to the part where they ask for your shipping address and this is […]
  • Etsy is a global marketplace for unique goods. This means that as soon as an item becomes popular, it runs the risk of selling out. Machine learning solutions that simply memorize the popular items are not as effective, and crafting features that generalize well across items in our inventory is important. In addition, some content […]
  • Late last year, Etsy announced that we’ll be migrating our services out of self-managed data centers and into the cloud. We selected Google Cloud Platform (GCP) as our cloud provider and have been working diligently to migrate our services. Safely and securely migrating services to the cloud requires them to live in two places at […]
  • This is an epic tale of EventHorizon, and how we finally got it to a happy place. EventHorizon is a tool we use to watch events streaming into our system. Events (also known as beacons) are basically clickstream data—a record of actions visitors take on our site, what content they saw, what experiments they were […]
  • How we use Kotlin to tame state at Etsy Bubbly the Baby Seal by SmartappleCreations Etsy’s apps have a lot of state.  Listings, tags, attributes, materials, variations, production partners, shipping profiles, payment methods, conversations, messages, snippets, lions, tigers, and even stuffed bears.   All of these data points form a matrix of possibilities that we […]