The Making of VES: the Cosmos Microservice for Netflix Video Encoding

Rebuilding Netflix Video Processing Pipeline with Microservices

Explore near Real-time Streaming Data Using a Web UI

Building In-Video Search

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling. With over 950 million members, ensuring that our platform is running smoothly is critical to connecting members to opportunities worldwide. In this case study, […]

Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

Migrating Critical Traffic At Scale with No Downtime — Part 2

Gotchas of Streaming Pipelines: Profiling & Performance Improvements

Native Frame Rate Playback

Migrating Critical Traffic At Scale with No Downtime — Part 1

Improved Alerting with Atlas Streaming Eval

CoFeed

Posts about #streaming from the top innovative companies, all in one place.