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	<title>Netflix &#8211; Noise</title>
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	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
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		<title>Integrating Netflix’s Foundation Model into Personalization applications</title>
		<link>https://noise.getoto.net/2026/10/14/integrating-netflixs-foundation-model-into-personalization-applications/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Wed, 14 Oct 2026 20:02:22 +0000</pubDate>
				<category><![CDATA[embedding]]></category>
		<category><![CDATA[foundation-models]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[transformer-model]]></category>
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					<description><![CDATA[Authors: Divya Gadde, Ko-Jen Hsiao, Dhaval Patel and Moumita BhattacharyaThe motivation for building the Netflix Foundation Model for personalization was laid out in this previous blog post. The Netflix homepage is powered by several specialized models...]]></description>
		
		
		
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		<item>
		<title>MAPS: Netflix’s Multimodal Asset Personalization at Scale</title>
		<link>https://noise.getoto.net/2026/08/28/maps-netflixs-multimodal-asset-personalization-at-scale/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Fri, 28 Aug 2026 16:01:02 +0000</pubDate>
				<category><![CDATA[embedding]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[multimodal]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[personalization]]></category>
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					<description><![CDATA[By Emma Yanyang Kong, Aditya Deshpande, Asad Abbasi, Bowei Yan, David Fagnan, Ashish Rastogi, Dhaval Patel, Ray ZhangIntroductionThe Netflix experience is a journey of discovery. Every visual cue, from the artwork on a title to the video previews that ...]]></description>
		
		
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		<item>
		<title>GenRec: Towards LLM-Native Recommendation at Netflix</title>
		<link>https://noise.getoto.net/2026/07/30/genrec-towards-llm-native-recommendation-at-netflix/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Thu, 30 Jul 2026 20:10:15 +0000</pubDate>
				<category><![CDATA[GenAI]]></category>
		<category><![CDATA[large language models]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[recommendation-system]]></category>
		<guid isPermaLink="false">https://medium.com/p/f20be6f643e3</guid>

					<description><![CDATA[Authors: Ying Li, Arjun Rao, Shradha SehgalIntroductionRecommendations sit at the heart of the Netflix experience. Our current production models rely on thousands of hand‑crafted features over users, items, and interactions, along with specialized arch...]]></description>
		
		
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			</item>
		<item>
		<title>In-House LLM Serving at Netflix</title>
		<link>https://noise.getoto.net/2026/07/18/in-house-llm-serving-at-netflix/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Fri, 17 Jul 2026 21:32:39 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[model-serving]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[Platform Engineering]]></category>
		<guid isPermaLink="false">https://medium.com/p/a5a8e799ea2c</guid>

					<description><![CDATA[By AI Platform’s Model Runtime team and Inference teamIntroductionMost organizations consume LLMs through hosted APIs. Netflix went further — we run the full stack ourselves, from model deployment through inference, inside our existing production envir...]]></description>
		
		
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			</item>
		<item>
		<title>GenPage: Towards End-to-End Generative Homepage Construction at Netflix</title>
		<link>https://noise.getoto.net/2026/06/29/genpage-towards-end-to-end-generative-homepage-construction-at-netflix/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Mon, 29 Jun 2026 13:01:02 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[large language models]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[recommendation-system]]></category>
		<guid isPermaLink="false">https://medium.com/p/77146fba8a08</guid>

					<description><![CDATA[Authors: Lequn Wang, Jiangwei Pan, and Linas BaltrunasFigure 1. Autoregressive homepage generation. GenPage builds a Netflix homepage one row or entity at a time, each one conditioned on what’s already on the page and the user’s context.IntroductionThe...]]></description>
		
		
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		<title>How Netflix Simplified Batch Compute with Kueue</title>
		<link>https://noise.getoto.net/2026/06/23/how-netflix-simplified-batch-compute-with-kueue/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Mon, 22 Jun 2026 21:35:01 +0000</pubDate>
				<category><![CDATA[AWS]]></category>
		<category><![CDATA[Kubernetes]]></category>
		<category><![CDATA[kueue]]></category>
		<category><![CDATA[Netflix]]></category>
		<guid isPermaLink="false">https://medium.com/p/87860682629c</guid>

					<description><![CDATA[By Alvin Bao, Alex Petrov, Jennifer Lai, Aidan Sherr, and Samartha ChandrashekarAs a part of the journey to transition Netflix’s compute infrastructure to be more Kubernetes-native, we have leaned into incorporating components from the Kubernetes ecosy...]]></description>
		
		
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			</item>
		<item>
		<title>The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale</title>
		<link>https://noise.getoto.net/2026/04/17/the-human-infrastructure-how-netflix-built-the-operations-layer-behind-live-at-scale/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Fri, 17 Apr 2026 15:01:02 +0000</pubDate>
				<category><![CDATA[incident response]]></category>
		<category><![CDATA[live streaming]]></category>
		<category><![CDATA[live-broadcast-technology]]></category>
		<category><![CDATA[live-operations]]></category>
		<category><![CDATA[Netflix]]></category>
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					<description><![CDATA[By: Brett Axler, Casper Choffat, and Alo LowryIn the three years since our first Live show, Chris Rock: Selective Outrage, we have witnessed an incredible expansion of our live content slate and the live operations that support it. From modest beginnin...]]></description>
		
		
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			</item>
		<item>
		<title>Optimizing Recommendation Systems with JDK’s Vector API</title>
		<link>https://noise.getoto.net/2026/03/03/optimizing-recommendation-systems-with-jdks-vector-api/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 03 Mar 2026 01:36:46 +0000</pubDate>
				<category><![CDATA[java]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[Performance]]></category>
		<category><![CDATA[SIMD]]></category>
		<guid isPermaLink="false">https://medium.com/p/30d2830401ec</guid>

					<description><![CDATA[By Harshad SaneRanker 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 looked at CPU profiles for this service, one fe...]]></description>
		
		
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			</item>
		<item>
		<title>Mount Mayhem at Netflix: Scaling Containers on Modern CPUs</title>
		<link>https://noise.getoto.net/2026/03/01/mount-mayhem-at-netflix-scaling-containers-on-modern-cpus/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Sat, 28 Feb 2026 22:55:53 +0000</pubDate>
				<category><![CDATA[Containers]]></category>
		<category><![CDATA[CPU]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[Performance]]></category>
		<category><![CDATA[Scaling]]></category>
		<guid isPermaLink="false">https://medium.com/p/f3b09b68beac</guid>

					<description><![CDATA[Authors: Harshad Sane, Andrew HalaneyImagine 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 Netflix, scaling containers efficiently is critical t...]]></description>
		
		
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			</item>
		<item>
		<title>Automating RDS Postgres to Aurora Postgres Migration</title>
		<link>https://noise.getoto.net/2026/02/12/automating-rds-postgres-to-aurora-postgres-migration/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Thu, 12 Feb 2026 14:07:19 +0000</pubDate>
				<category><![CDATA[Aurora]]></category>
		<category><![CDATA[database-migration]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[postgres]]></category>
		<category><![CDATA[PostgreSQL]]></category>
		<guid isPermaLink="false">https://medium.com/p/261ca045447f</guid>

					<description><![CDATA[Ram Srivasta Kannan, Wale Akintayo, Jay Bharadwaj, John Crimmins, Shengwei Wang, Zhitaou ZhuIntroductionIn 2024, the Online Data Stores team at Netflix conducted a comprehensive review of the relational database technologies used across the company. Th...]]></description>
		
		
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			</item>
		<item>
		<title>AV1 — Now Powering 30% of Netflix Streaming</title>
		<link>https://noise.getoto.net/2025/12/04/av1-now-powering-30-of-netflix-streaming/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Thu, 04 Dec 2025 20:09:30 +0000</pubDate>
				<category><![CDATA[aomedia]]></category>
		<category><![CDATA[av1]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[streaming]]></category>
		<category><![CDATA[video-encoding]]></category>
		<guid isPermaLink="false">https://medium.com/p/02f592242d80</guid>

					<description><![CDATA[AV1 — Now Powering 30% of Netflix StreamingLiwei Guo, Zhi Li, Sheldon Radford, Jeff WattsStreaming video has become an integral part of our daily lives. At Netflix, our top priority is delivering the best possible entertainment experience to our member...]]></description>
		
		
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			</item>
		<item>
		<title>Behind the Streams: Real-Time Recommendations for Live Events Part 3</title>
		<link>https://noise.getoto.net/2025/10/21/behind-the-streams-real-time-recommendations-for-live-events-part-3/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 21 Oct 2025 00:53:29 +0000</pubDate>
				<category><![CDATA[Architecture]]></category>
		<category><![CDATA[distributed-systems]]></category>
		<category><![CDATA[live streaming]]></category>
		<category><![CDATA[Netflix]]></category>
		<guid isPermaLink="false">https://medium.com/p/e027cb313f8f</guid>

					<description><![CDATA[By: Kris Range, Ankush Gulati, Jim Isaacs, Jennifer Shin, Jeremy Kelly, Jason TuThis is part 3 in a series called “Behind the Streams”. Check out part 1 and part 2 to learn more.Picture this: It’s seconds before the biggest fight night in Netflix histo...]]></description>
		
		
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		<item>
		<title>Behind the Streams: Live at Netflix. Part 1</title>
		<link>https://noise.getoto.net/2025/07/15/behind-the-streams-live-at-netflix-part-1/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 15 Jul 2025 16:04:08 +0000</pubDate>
				<category><![CDATA[Architecture]]></category>
		<category><![CDATA[live streaming]]></category>
		<category><![CDATA[Netflix]]></category>
		<guid isPermaLink="false">https://medium.com/p/d23f917c2f40</guid>

					<description><![CDATA[Behind the Streams: Three Years Of Live at Netflix. Part 1.By Sergey Fedorov, Chris Pham, Flavio Ribeiro, Chris Newton, and Wei WeiMany great ideas at Netflix begin with a question, and three years ago, we asked one of our boldest yet: if we were to en...]]></description>
		
		
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		<item>
		<title>HDR10+ Now Streaming on Netflix</title>
		<link>https://noise.getoto.net/2025/03/24/hdr10-now-streaming-on-netflix/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Mon, 24 Mar 2025 18:39:15 +0000</pubDate>
				<category><![CDATA[av1]]></category>
		<category><![CDATA[hdr]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[streaming]]></category>
		<guid isPermaLink="false">https://medium.com/p/c9ab1f4bd72b</guid>

					<description><![CDATA[Roger Quero, Liwei Guo, Jeff Watts, Joseph McCormick, Agata Opalach, Anush MoorthyWe are excited to announce that we are now streaming HDR10+ content on our service for AV1-enabled devices, enhancing the viewing experience for certified HDR10+ devices,...]]></description>
		
		
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		<item>
		<title>Title Launch Observability at Netflix Scale</title>
		<link>https://noise.getoto.net/2025/03/05/title-launch-observability-at-netflix-scale-3/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Wed, 05 Mar 2025 01:24:53 +0000</pubDate>
				<category><![CDATA[Netflix]]></category>
		<category><![CDATA[observability]]></category>
		<category><![CDATA[software engineering]]></category>
		<category><![CDATA[system-design-concepts]]></category>
		<guid isPermaLink="false">https://medium.com/p/8efe69ebd653</guid>

					<description><![CDATA[Part 3: System Strategies and ArchitectureBy: Varun KhaitanWith special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo MarquesThis blog post is a continuation of Part 2, where we cleared the ambiguity around title launch observability...]]></description>
		
		
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		<item>
		<title>Title Launch Observability at Netflix Scale</title>
		<link>https://noise.getoto.net/2025/01/07/title-launch-observability-at-netflix-scale-2/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 07 Jan 2025 01:25:58 +0000</pubDate>
				<category><![CDATA[ambiguity]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[observability]]></category>
		<category><![CDATA[staff-engineering]]></category>
		<guid isPermaLink="false">https://medium.com/p/19ea916be1ed</guid>

					<description><![CDATA[Part 2: Navigating AmbiguityBy: Varun KhaitanWith special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo MarquesBuilding on the foundation laid in Part 1, where we explored the “what” behind the challenges of title launch observabilit...]]></description>
		
		
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		<item>
		<title>Title Launch Observability at Netflix Scale</title>
		<link>https://noise.getoto.net/2024/12/17/title-launch-observability-at-netflix-scale/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 17 Dec 2024 21:54:37 +0000</pubDate>
				<category><![CDATA[Netflix]]></category>
		<category><![CDATA[observability]]></category>
		<guid isPermaLink="false">https://medium.com/p/c88c586629eb</guid>

					<description><![CDATA[Part 1: Understanding The ChallengesBy: Varun KhaitanWith special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo MarquesIntroductionAt Netflix, we manage over a thousand global content launches each month, backed by billions of dollar...]]></description>
		
		
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		<item>
		<title>Enhancing Netflix Reliability with Service-Level Prioritized Load Shedding</title>
		<link>https://noise.getoto.net/2024/06/26/enhancing-netflix-reliability-with-service-level-prioritized-load-shedding/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 25 Jun 2024 22:58:09 +0000</pubDate>
				<category><![CDATA[Chaos Engineering]]></category>
		<category><![CDATA[distributed-systems]]></category>
		<category><![CDATA[load-shedding]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[reliability]]></category>
		<guid isPermaLink="false">https://medium.com/p/e735e6ce8f7d</guid>

					<description><![CDATA[Applying Quality of Service techniques at the application levelAnirudh Mendiratta, Kevin Wang, Joey Lynch, Javier Fernandez-Ivern, Benjamin FedorkaIntroductionIn November 2020, we introduced the concept of prioritized load shedding at the API gateway l...]]></description>
		
		
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		<title>Round 2: A Survey of Causal Inference Applications at Netflix</title>
		<link>https://noise.getoto.net/2024/06/06/round-2-a-survey-of-causal-inference-applications-at-netflix/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Thu, 06 Jun 2024 20:10:54 +0000</pubDate>
				<category><![CDATA[causal-inference]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[experimentation]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[Technology]]></category>
		<guid isPermaLink="false">https://medium.com/p/fd78328ee0bb</guid>

					<description><![CDATA[At Netflix, we want to ensure that every current and future member finds content that thrills them today and excites them to come back for more. Causal inference is an essential part of the value that Data Science and Engineering adds towards this miss...]]></description>
		
		
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		<title>The Making of VES: the Cosmos Microservice for Netflix Video Encoding</title>
		<link>https://noise.getoto.net/2024/04/10/the-making-of-ves-the-cosmos-microservice-for-netflix-video-encoding/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 09 Apr 2024 22:12:32 +0000</pubDate>
				<category><![CDATA[microservices]]></category>
		<category><![CDATA[Netflix]]></category>
		<category><![CDATA[streaming]]></category>
		<category><![CDATA[video-encoding]]></category>
		<guid isPermaLink="false">https://medium.com/p/946b9b3cd300</guid>

					<description><![CDATA[Liwei Guo, Vinicius Carvalho, Anush Moorthy, Aditya Mavlankar, Lishan ZhuThis is the second post in a multi-part series from Netflix. See here for Part 1 which provides an overview of our efforts in rebuilding the Netflix video processing pipeline with...]]></description>
		
		
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