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Towards a Reliable Device Management Platform

The Netflix TechBlog

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 213
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. The City of Chicago is one of the first to bring sensors throughout the city that will permanently measure air quality, light intensity, sound volume, heat, precipitation, wind and traffic.

Analytics 136
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Dutch Enterprises and The Cloud

All Things Distributed

When Tom Tom launched the LBS platform they wanted the ability to reach millions of developers all around the world without having them invest a lot of capital upfront in hardware and building expensive data centers so turned to the cloud.

Cloud 130
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Containers can be replicated or deleted on the fly to meet varying end-user traffic.

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

All Things Distributed

After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. AWS is helping them reach their goal of becoming the leader in sustainable transport. iZettle, a mobile payments startup, is also ‘all-in’ on AWS.

AWS 117
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Measuring Carbon is Not Enough?—?Unintended Consequences

Adrian Cockcroft

Buildings, food and transport have a much bigger carbon footprint than IT globally. In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down.

Energy 52
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Why I hate MPI (from a performance analysis perspective)

John McCalpin

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.