Netflix

Democratizing Machine Learning at Netflix: Building the Model Lifecycle Graph

Netflix needed to manage the lifecycle of machine learning models across multiple domains and teams at scale, moving beyond their original single-domain personalization focus.

ml-systems microservices
5 min
Netflix

Evaluating Netflix Show Synopses with LLM-as-a-Judge

Netflix needed to automatically evaluate the quality and relevance of show synopses at scale to improve member discovery and engagement.

ml-systems api-design
5 min
Netflix

Scaling Camera File Processing at Netflix

Netflix needed to build a scalable, flexible media file processing pipeline that could handle diverse camera formats, workflows, and production requirements while maintaining quick turnaround times for global content production.

microservices distributed-systems
5 min
Netflix

Smarter Live Streaming at Scale: Rolling Out VBR for All Netflix Live Events

Netflix needed to optimize bandwidth utilization and video quality for live streaming events at global scale by moving from constant bitrate to variable bitrate encoding.

real-time-systems distributed-systems
5 min
Netflix

The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale

Netflix needed to build reliable operations infrastructure to support live streaming at massive scale, going from one show per month to nine shows per day with tens of millions of concurrent viewers.

microservices observability
5 min