Remove Cloud Remove IPv6 Remove Load Balancer Remove Resources
article thumbnail

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
article thumbnail

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

All Things Distributed

AWS Elastic Beanstalk: A Quick and Simple Way into the Cloud. Elastic Beanstalk makes it easy for developers to deploy and manage scalable and fault-tolerant applications on the AWS cloud. There is no charge to use Elastic Beanstalk and developers only pay for the AWS resources used to run their applications. Comments ().

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Technology Short Take 153

Scott Lowe

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. Cloud Computing/Cloud Management. This is such an invaluable resource. Start here. Servers/Hardware. Cabling is hardware, right? Virtualization.

Linux 74
article thumbnail

Simplifying IT - Create Your Application with AWS CloudFormation.

All Things Distributed

With the launch of AWS CloudFormation today another important step has been taken in making it easier for customers to deploy applications to the cloud. Using declarative Templates customers can create Stacks of resources ensuring that all resources have been created, in the right sequence and with the correct confirmation.

article thumbnail

Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. The different stages were then load balanced across the available units.