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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

When you’re running in the cloud your containers are in a shared space; in particular they share the CPU’s memory hierarchy of the host instance. The idea CFS operates by very frequently (every few microseconds) applying a set of heuristics which encapsulate a general concept of best practices around CPU hardware use.

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Fundamentals

The Agile Manager

Finally, an increase in digital trade will increase the need for more and faster technology to conduct that trade, amplifying the risk of frail legacy tech and accelerating the shift from solutions that are self-hosted to cloud. Airlines and commercial airplane manufacturers will similarly be given new marching orders.

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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. For example programming interfaces that developers can use to analyze images, change text into true-to-life language or create chatbots. More room for optimism.

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Reducing Carbon Emissions On The Web

Smashing Magazine

So, when people first started talking about the Internet having similar carbon emissions to the airline industry , I was a bit skeptical. It can be hard to visualize the huge network of hardware that allows you to send a request for a page to a server and then receive a response back.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.