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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. Wednesday?—?December

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. Wednesday?—?December

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. Wednesday?—?December

AWS 37
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Synthetic Monitoring vs. RUM

Rigor

For example, in a case study published by Gilt Groupe , Eric Shepherd, who was formerly Gilt’s principal front end engineer, noted that: Both RUM and synthetic monitoring give different views of our performance, and are useful for different things. Benchmark Against Competitors.

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Improving The Performance Of An Online Store (Case Study)

Smashing Magazine

Improving The Performance Of An Online Store (Case Study). Improving The Performance Of An Online Store (Case Study). The project consisted of upgrading the shop software to our own open-source system and redoing the shop’s front end from scratch. See the Pen [Jewellerybox Case Study (Example #1)]([link] by Pfenya.

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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. In any case, you should always keep in mind that performance depends on schema design. Doing extensive benchmarks will be the subject of a future blog post. Learn more here!

AWS 52
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Data Mining Problems in Retail

Highly Scalable

Many articles and case studies published during the last decade successfully achieve the balance between abstract models and machine learning. Besides that, the numbers can vary greatly depending on many factors, so our goal here is just to provide a few benchmarks that give some sense of the magnitude of potential improvements.

Retail 152