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Survival Strategies for the Noisy Neighbor Apocalypse
Meenakshi Jindal discusses experience and lessons learned with a case study from the Asset Management Platform at Netflix about how they detected and survived a noisy neighbor.
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How Netflix Really Uses Java
Paul Bakker discusses Netflix’s use of Java, emphasizing the use of microservices, RxJava, Hystrix and Spring Cloud.
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How Netflix Ensures Highly-Reliable Online Stateful Systems
Joseph Lynch discusses the architecture of Netflix's stateful caches and databases, including how they capacity plan, bulkhead, and deploy software to their global, full-active, data topology.
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Managing 238M Memberships at Netflix
Surabhi Diwan discusses how the Netflix’ membership team outgrew many of its technology and architectural choices as memberships went from a few hundred thousand to 200 million.
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Using Traffic Modeling to Load-Balance Netflix Traffic at Global Scale
Niosha Behnam and Sergey Fedorov discuss how Netflix shifted from geo-based DNS load-balancing to a latency-based approach, relying on real-user measurements and building a model of Netflix traffic.
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Backends in Dart: Strengths, Weaknesses, and Performance
Chris Swan provides an overview of Dart as a back-end language, then dives into those trade offs to look at the pros and cons of different choices.
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Scaling Defenses Amidst Evolving Threat Landscape
Aditi Gupta discusses the design choices made early on during service development that were crucial to scaling operations later on at Netflix.
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Go Far, Go Together - Growing the Netflix Federated Graph
Kavitha Srinivasan discusses challenges building a developer-friendly ecosystem in a sustainable way to scale not just the graph, but the developers working with it as well.
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Taming Configuration Complexity Made Fun with CUE
Marcel van Lohuizen discusses configuration at scale including the design of CUE, how configuration can go wrong, the need for testing and validation, and how CUE does holistic configuration.
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Remote Working: the Day 8,000 People Suddenly Worked from Home through the Present
Rebecca Parsons describes the transition that Thoughtworks made to remote working initially, and how they look today at the value of remote, hybrid, and in-office work.
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Microservices Retrospective – What We Learned (and Didn’t Learn) from Netflix
Adrian Cockcroft does a retrospective on microservices, what they set out to do at Netflix, how it worked out, and how things have subsequently permeated across the industry.
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Stress Free Change Validation at Netflix
Javier Fernandez-Ivern discusses why a high confidence change process for code bases is needed, how zero-noise diffs help close the confidence gap, and recommended practices for building a diff system
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