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Liveblog: IPv6 in the Cloud - Protocol and Service Overview

Scott Lowe

This is a liveblog of an AWS re:Invent 2017 breakout session titled “IPv6 in the Cloud: Protocol and Service Overview.” Global IPv6 adoption is currently around 22%, and is expected to hit 25% by the end of the year. T-Mobile, for example, now has 89% of their infrastructure running on IPv6.

IPv6 60
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Technology Short Take 153

Scott Lowe

Networking. This article contains some good information on IPv6 for those who are just starting to get more familiar with it, although toward the end it turns into a bit of an advertisement. Want to understand kube-proxy , a key part of Kubernetes networking, a bit better? Operating Systems/Applications. Start here.

Linux 74
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AWS Elastic Beanstalk: A Quick and Simple Way into the Cloud - All.

All Things Distributed

Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. It takes just minutes to get started and deploy your first application.

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Technology Short Take #87

Scott Lowe

Networking. Vincent Bernat has a really in-depth article on IPv4 route lookup on Linux (and one on IPv6 route lookup as well). Ivan Pepelnjak has a great article that tries to get to the kernel of truth in the middle of the intent-based networking hype. The company is VirTool Networks (catchy, eh?), RIP Solaris.

Storage 60
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Kubernetes on OpenStack: The Technical Details

Scott Lowe

One of the key points is that Kubernetes is more application-focused, whereas OpenStack is more machine-focused. Lees spends some time reviewing the basics of Kubernetes networking, reviewing the core constructs leveraged by Kubernetes. Load balancing is the next connection point that Lees reviews.

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Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

From financial processing and traditional oil & gas exploration HPC applications to integrating complex 3D graphics into online and mobile applications, the applications of GPU processing appear to be limitless. The different stages were then load balanced across the available units. Where to go from here?