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AWS EC2 Virtualization 2017: Introducing Nitro

Brendan Gregg

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. Each dimension has progressed through these stages: 1.

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AWS EC2 Virtualization 2017: Introducing Nitro

Brendan Gregg

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. Each dimension has progressed through these stages: 1.

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Looking back at 10 years of compartmentalization at AWS

All Things Distributed

At AWS, we don't mark many anniversaries. But every year when March 14th comes around, it's a good reminder that Amazon S3 originally launched on Pi Day, March 14, 2006. A concept that has changed infrastructure architecture is now at the core of both AWS and customer reliability and operations. Regional isolation.

AWS 132
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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

The epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. Given that AWS is a pioneer in building and operating these services world-wide, these lessons have been of crucial importance to our business. AWS helps its customers do this too. Build security in from the ground up.

AWS 144
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Sharing Data Among Multiple Servers Through AWS S3

Smashing Magazine

Sharing Data Among Multiple Servers Through AWS S3. Sharing Data Among Multiple Servers Through AWS S3. But since this article is about connecting an application running on the server with AWS S3, we don’t consider this solution. Leonardo Losoviz. 2018-11-08T12:30:30+01:00. 2019-04-29T18:34:58+00:00. Creating The Bucket.

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Proposal for a Realtime Carbon Footprint Standard

Adrian Cockcroft

Energy data at the entire machine or raw cloud instance level needs to be apportioned to virtual machines or cloud instances which run an operating system, and to pods, containers and processes running applications and background activities that consume CPU, memory and I/O resources.

Energy 52