6 posts
Scaling Global Storytelling: Modernizing Localization Analytics at Netflix -- Listen Share Valentin Geffrier, Tanguy Cornuau Each year, we bring the Analytics Engineering community together for an Analytics Summit — a multi-day internal conference to share analytical deliverable…
Optimizing Recommendation Systems with JDK’s Vector API -- 1 Listen Share By Harshad Sane Ranker is one of the largest and most complex services at Netflix. Among many things, it powers the personalized rows you see on the Netflix homepage, and runs at an enormous scale. When we…
Mount Mayhem at Netflix: Scaling Containers on Modern CPUs -- 6 Listen Share Authors: Harshad Sane, Andrew Halaney Imagine this — you click play on Netflix on a Friday night and behind the scenes hundreds of containers spring to action in a few seconds to answer your call. At Ne…
MediaFM: The Multimodal AI Foundation for Media Understanding at Netflix -- 7 Listen Share Avneesh Saluja, Santiago Castro, Bowei Yan, Ashish Rastogi Introduction Netflix’s core mission is to connect millions of members around the world with stories they’ll love. This requires n…
Scaling LLM Post-Training at Netflix -- 6 Listen Share Baolin Li, Lingyi Liu, Binh Tang, Shaojing Li Introduction Pre-training gives Large Language Models (LLMs) broad linguistic ability and general world knowledge, but post-training is the phase that actually aligns them to con…
Automating RDS Postgres to Aurora Postgres Migration -- Listen Share Ram Srivasta Kannan, Wale Akintayo, Jay Bharadwaj, John Crimmins, Shengwei Wang, Zhitao Zhu Introduction In 2024, the Online Data Stores team at Netflix conducted a comprehensive review of the relational databa…