A history of how we handle service dependency graphs in search backend, and introducing a new library to make the implementation of asynchronous services in Java easier.
In this post, we discuss how we have evolved our search technology to accommodate diverse document types, the surprising performance impact of these changes, and how we are using this improved technology to power Twitter’s latest product efforts.
The technical details of how Twitter safely deploys widgets.js to keep things simple for publishers, catch mistakes early, and avoid negative customer impact.
We are exploring RL as a learning paradigm, and to that end, Twitter Cortex built a framework for RL development. Today, Twitter is open sourcing torch-twrl to the world.
Our search infrastructure team is building Omnisearch, a new information retrieval system to power the next generation of relevance-based, personalized products. We recently launched SuperRoot, the first major architectural component of Omnisearch. In this blog post, we detail the path to building and launching a high-SLA production system at Twitter.
Security on a global platform like Twitter is a 24/7 job – we are constantly evolving to respond to new threats and attacks against our users and our systems. In order to stay ahead of the game we staff dedicated account-, network-, enterprise-, corporate-, and application-security teams, as well as an incident detection and response team.