Engineering Blog

With Buyer Demand Data, eBay sellers can access information on the item specifics buyers are using in their search queries. This insight increases sellers’ completion of item specifics, which in turn further enhances listings’ quality, visibility and sales.

eBay’s Buy APIs enable third-party developers to surface eBay inventory in their shopping experience, allowing consumers to purchase items without visiting an eBay site.

eBay’s open source JavaScript UI framework modernizes universal web development.

新马chine-learning tool helps sellers set competitive ad rates for their Promoted Listings, optimizing between cost and performance.

How we’re using Apache Flink to handle big data streaming in real-time.

How our advances in edge computing are empowering both buyers and sellers in times of great demand with ease and agility.

A look at how we developed a solution for automatic mirror testing to overcome the challenges of migrating eBay’s proprietary messaging applications to a more modern technical stack.

Learn about the latest evolution of online analytical processing (OLAP) data, now with ClickHouse on Kubernetes.

The eBay framework team has implemented a brand new tooling platform to speed up framework level migration. It supports highly efficient migration of applications running on legacy stacks to new platforms. This has been proven by the success stories migrating Batch, SOA, Trading/Shopping API, and messaging application migration.