Category: Engineering

This topic introduces the methodology to mavenize more than 3,000 business libraries built by a legacy system. Those libraries together build up a huge dependency graph with sub-belonging dependencies. The article highlights the challenges during the migration process, including how to test the libraries in build and runtime level. On eBay, there are a large […]

NuGraph is a graph database platform developed at eBay that is cloud-native, scalable and performant. It is built upon the open-source graph database JanusGraph, with FoundationDB as the backend that stores graph elements and indexes. This article presents GraphLoad, a utility developed at eBay to load and update graphs at scale. GraphLoad is deployed in […]

On eBay, there are lots of scenarios that require a distributed system. A typical use case is when a large amount of libraries are release. There are more than 3,000 legacy libraries still built by the old build system based on Ant, which is no longer supported. These libraries are now being migrated to a […]

Creating new opportunities for our sellers to grow their businesses further is a driving force of everything we do at eBay Ads. We continue to invest heavily in new technology to make it easier for sellers of all sizes to run their business online. Last September, we announced the launch of Promoted Listings AdvancedBETA, our […]

Editor’s note: This article follows “The Staging Dichotomy” series as a technical deep dive into data migration. eBay connects millions of buyers and sellers in more than 190 markets around the world to create economic opportunity for everyone, everywhere. As we continue to innovate on behalf of our customers, our team is focused on improving […]

This article introduces a new testing methodology for 500+ batch applications at eBay. These batch applications contain 10,000+ jobs running everyday to handle offline eBay business, for example, the monthly invoice jobs are responsible to record all transactions on a customer’s primary account for subscriptions. In this piece, we explore the challenges of batch application […]

At eBay, we have approximately 152 million users and 1.5 billion live listings at any given time on our marketplace. This article takes a look at how we’ve created an in-house system, using a combination of engineering and machine learning methodologies to develop personalized recommendations for our community.   The blog headline may sound daunting, but […]

When shoppers come to eBay, our goal is to help them easily find a product they’ll love.  Over the past year, our teams have focused on how we can improve item recommendations for buyers that are more relevant and aligned to their shopping interests.  Under our previous recommendations model, products were displayed for customers on […]

In ecommerce, different carriers tend to take different lengths of time to deliver packages. For our annual Machine Learning competition, we challenged university students to predict how many days a carrier takes to deliver packages. Our competition garnered over 1,100 submissions, from 843 students at 169 universities and colleges, over a six month period. Why […]

eBay is committed to open source software, and as part of that commitment is pleased to join other industry leaders in submitting OpenFeature to the Cloud Native Computing Foundation’s sandbox program.  OpenFeature allows application developers to add feature flags into their code without being tied to any particular vendor. This allows common open source tooling […]