Remove Design Remove Entertainment Remove Innovation
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

In this final part, we detailed the sophisticated system strategies and architecture, including observability endpoints, proactive monitoring, and Time Travel capabilities; all designed to ensure a thrilling viewing experience.

Traffic 172
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Part 2: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

To better guide the design and budgeting of future campaigns, we are developing an Incremental Return on Investment model. Ideally, we would have causal estimates from an A/B test to use for validation, but since that is not available, we use another causal inference design as one of our ensemble of validation approaches.

Analytics 190
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources. These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system.

Tuning 163
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A Survey of Causal Inference Applications at Netflix

The Netflix TechBlog

At Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. However, when the topic of holdback tests is raised, it can seem too complicated in terms of experimental design and/or engineering costs.

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Dynatrace RUM expands coverage for modern mobile UI frameworks

Dynatrace

This allows developers to focus more of their efforts on innovation and delivering the best user experience to their customers. We use mobile apps to communicate, entertain us, conduct business, shop, and much more—on the go, anytime and anywhere.

Mobile 299
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My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

That person grew up dreaming of working in the entertainment industry. Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. Pretty straightforward, right?!

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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

The engineers assess your technical skills by asking you to solve various design and coding problems. Some of the areas for which we are actively seeking backend engineers include Streaming & Gaming Technologies, Product Innovation, Infrastructure, and Studio Technologies. For more information on the culture, see [link].