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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. We formulate the problem as a Mixed Integer Program (MIP). can we actually make this work in practice?

Cache 251
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Reinvention Risk Trade

The Agile Manager

Those adjusted schedules were often logistically flawed because the planes and crews matched at a specific place and time didn’t make sense in the real world. more flight cancellations), and both the weather and operations were changing throughout Southwest's route network. Business is risk.

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Rethinking the 'production' of data

All Things Distributed

This starts with integrated platforms that can manage all activities, from market research to production to logistics. Therefore, IT has never been more important for strategy than it is now – not only for us, but for every company in the digital age. Also, trade with data contributes more to global growth than trade with goods.

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The future of synthetic testing is in the cloud

Dynatrace

I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. When we wanted to add a location, we had to ship hardware and get someone to install that hardware in a rack with power and network. Sound easy? Try doing that in India.

Cloud 201
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Understanding the Importance of 5 Nines Availability

IO River

Delta Air Lines experienced a severe system outage in 2017, resulting in flight cancellations and delays across their network. By investing in robust infrastructure and implementing a multi-CDN strategy, Netflix ensures the high availability of its streaming service across various devices and regions.

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Understanding the Importance of 5 Nines Availability

IO River

Delta Air Lines experienced a severe system outage in 2017, resulting in flight cancellations and delays across their network. By investing in robust infrastructure and implementing a multi-CDN strategy, Netflix ensures the high availability of its streaming service across various devices and regions.

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Challenging common assumptions in the unsupervised learning of disentangled representations

The Morning Paper

The state of the art for representation learning centres around Variational Autoencoders , using one deep neural network to learn a representation, and another one to attempt to reconstruct the original input from that representation. the choice of the neural architecture). In theory, disentanglement is impossible.