Tech Blog Archive

Big Data in Engineering
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Enabling HDFS Federation Having 1B File System Objects

In this blog, we discuss our journey to enable NameNode federation for cluster with 4,000+ nodes, 1B file system objects and 170PB of storage.

By: Ruchir Shah
Mobile in Engineering
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eBay Motors: Screenshot Testing with Flutter

The team continues to update the eBay Motors App using Google’s UI toolkit, Flutter.

By: Maksim Zadorskii, Corey Sprague and Larry McKenzie
Developer Tools in Engineering
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Know Your Developer (KYD)

The vision of any API program is to deliver a world-class developer experience that enables partners to be inventive, provide their users with fantastic experience, and propel their business into the future. Learn the guiding principles behind eBay's Developers Program.

By: Tanya Vlahovic
Deep Learning in Product
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A Learning Culture to Propel Innovation

A test-and-learn culture is key to building the best experiences for our customers.

By: Mazen Rawashdeh
Microservices in Engineering
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New & Improved Terapeak Research 2.0 in eBay Seller Hub

Follow the journey of integrating Terapeak into eBay Seller Hub, making it available to millions of eBay sellers.

By: Senthilkumar Gopal, Cem Gemici, Lucan McRandall, Shawn Zhang and Yury Elizarov
Computer Vision in Product
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eBay Uses Computer Vision to Enable Sellers to Create Cleaner Images

We built an algorithm that lets users change the background of their listing photos.

By: Ellis Luk
Performance Engineering in Engineering
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Prefetch Caching of eBay Items

With 1.4 billion listings on eBay, improving the speed to render these listings at scale and accuracy is a huge engineering challenge. We have taken major steps to cache item data, which brings great speed improvements.

By: Ramesh Periyathambi and Vineet Bindal
Agile in Engineering
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Coding 4 Kids Inspires Future Engineers

Today's children are exposed to technology from a very young age, and on many occasions, 2-year-olds seem to understand the iPad better than adults. Is this enough to encourage and influence them to pursue a career in STEM (science, technology, engineering and mathematics)?

By: Marios Georgiou
Data Infrastructure and Services in Engineering
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Anomaly Detection — Product of Data Refinery

Large scale applications are ubiquitous in today's world, processing hundreds of billions of events and producing thousands of metrics. Sifting through these metrics to surface actionable insights without using scientific methods can be challenging. In this blog post, we explore an introduction to the realm of predictive analytics in the context of anomaly detection.

By: Ahmed Abdulaal and Subrahmanya Harve