Tech Blog

Because eBay's item page updates frequently, and because it depends on hundreds of libraries and services, discovering the unknowns and automating testing for all use-case combinations from production calls for a different approach to testing.

Learn how eBay's architecture knowledge graph was developed; the benefits eBay has received from it; and the use cases we see now and in the future for this approach.

eBay technologists recently showed off a distributed transaction protocol called GRIT, for distributed ACID (atomicity, consistency, isolation, durability) transactions across microservices with multiple underlying databases.

Tess.IO is eBay’s new unified cloud infrastructure based on Kubernetes. With more and more applications being deployed on the Tess cluster, the requirements for scalability and capability of the cluster are growing. This article describes how to achieve 5000-node scalability for the tess.IO cluster.

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.

At eBay, we switched one of our monitoring tech stacks from legacy homegrown architecture to a Druid-based real-time monitoring system. In this article, we discuss how we transitioned our journey to a new stack and also the benefits it has to offer.

At eBay, nearly everything we do is based on data. We deal with structured, unstructured, and semi-structured data, where Hadoop, as a big data platform, has provided key technology features. Keeping pace with the speed of innovation while continuing to help data consumers easily find and consume the data they need guides our architecture and investment in building out eBay’s Big Data Fabric.

One of the frequently asked questions from new site reliability engineers is: Where to begin when troubleshooting a problem in a cloud environment? I always tell them: You should begin with understanding the problem. Let me demonstrate the reasons and methods with a real troubleshooting case.

Most Java virtual machine out of memory issues happen on the heap, but this time proved to be a little different.