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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

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. The second placement looks better as each CPU is given its own L1/L2 caches, and we make better use of the two L3 caches available.

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

All Things Distributed

The management consultants at McKinsey expect that the global market for AI-based services, software and hardware will grow annually by 15-25% and reach a volume of around USD 130 billion in 2025. Decisive is the openness of the layers and the reliable availability of the infrastructure. More room for optimism.

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Välkommen till Stockholm – An AWS Region is coming to the Nordics

All Things Distributed

The new region will give Nordic-based businesses, government organisations, non-profits, and global companies with customers in the Nordics, the ability to leverage the AWS technology infrastructure from data centers in Sweden. They migrated their IT infrastructure, including mission-critical payments platforms, to AWS in just six weeks.

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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.