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Creating a seamless end user experience with an AIOps platform approach to DEM

Dynatrace

Case study: The value of DEM for Vitality. First, the company uses synthetic monitoring to develop user experience benchmarks and determine if applications are performing within expected thresholds. Cinema Experience lets users redeem vouchers for cinema tickets and is one of the company’s most popular programs.

Mobile 161
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 37
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40+ Best Web Development Blogs of 2018

KeyCDN

Whether you want a primer on machine learning, benchmarking, functional programming, developing for the cloud or agile practices, there are articles from reputable contributors that can help you get learning. Sidebar Sidebar curates five daily design links that include essays, data visualizations, case studies and code resources.

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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. Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives.

Retail 152