Tech Blog

CAL Ingress, the main component of eBay's Centralized Application Logging (CAL) system, is responsible for collecting, processing, and dispatching application server local logs from thousands of CAL clients in the cloud. This article introduces the whole system architecture design and performance optimization to meet the requirements of low latency and high throughput for huge amounts of traffic.

To make it easier to integrate with eBay RESTful APIs, eBay provides client SDK libraries in C#, Java, and Python. Learn how to quickly set up the OAuth SDK in Python and learn about eBay OAuth best practices.

In the era of artificial intelligence, machine learning, and cloud technology, data is growing exponentially. eBay data continues to grow, serving more than 182 million buyers and $13.4 billion of transactions completed on mobile devices. Understanding how to manage data is a key to success. System hardware platforms must be designed for the data.

How do you normalize Edit Distance? Some simple ideas to get useful numbers about the changes in your text.

If you change a sentence, should you see the characters or words that changed? Edit Distance is back to help you figure this out.

We are excited to announce the public release of NuRaft, a lightweight C++ Raft core, under the Apache 2.0 open source license. NuRaft is based on the cornerstone C++ Raft implementation, but with various additions and changes, and is the result of over two years of development and testing for production use within eBay for storage server data replication. This post discusses what NuRaft is, and how it can be used.

What is Edit Distance? How could it be used to measure quality? Find out the basics about this simple metric used for Machine Translation.

The item page is one of the most critical pages in the eBay buyer experience. It's where a buyer make their purchase decisions. It's also one of the pages in eBay that gets the most user traffic. The speed of this page and showing accurate information to the user is of great importance. Item fast light service was developed to get critical item information as quickly as possible from the primary source tables. This service is currently used in a number of applications to achieve functionalities that needs 100% accuracy with lightning speed and performance of less than 10ms for an item.

Managed Payments, Identity and Marketing APIs available today for developers