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by Netflix Tech

Modern Java: Build with Modules, Not the Class Path

Leave the Class Path in the Rearview Mirror
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MAPS: Netflix’s Multimodal Asset Personalization at Scale

MAPS: Netflix’s Multimodal Asset Personalization at Scale
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How Netflix Scales Flink: From Custom to Open Source

A Tale of Two Flink Autoscalers
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How Data Projects Make Netflix Workflows Resilient

Data Projects: Managing Data Assets at Netflix Scale
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How Netflix Uses Data Canaries to Catch Catalog Failures

The Data Canary: How Netflix Validates Catalog Metadata
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How Netflix Uses Kueue to Scale Batch Jobs Efficiently

How Netflix Simplified Batch Compute with Kueue
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How Vera and VOID Make AI Video Editing More Precise

Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix
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How Netflix Generates Personalized Homepages with AI

GenPage: Towards End-to-End Generative Homepage Construction at Netflix
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Building Real-Time Service Topology at Netflix Scale

Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned
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How Netflix Built Its Production LLM Serving Platform

In-House LLM Serving at Netflix
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How Netflix Uses LLMs to Power Better Recommendations

GenRec: Towards LLM-Native Recommendation at Netflix
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How Netflix Maps Device Capabilities for Smarter Features

Modeling Device Capabilities for Analytics
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How Netflix Queries a Billion-Edge Graph in Under 100ms

How and Why Netflix Built a Real-Time Distributed Graph: Part 3 — Querying the graph with gRPC…
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