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The re:Invent Dev Lounge in the Expo was hopping all week! Hopefully you were able to experience all the cool stuff there!

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Working out your body is a nice change of pace when you spend most of the week working out your mind! Did you try the re:Invent Cyclenation Challenge?

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Thanks for tuning in on http://amzn.to/2BpjK7d for all the re:Invent action. Join us for a recap in 5 minutes. For more information about AWS on Twitch, visit http://amzn.to/2BpjLbh

Announcing new AWS Deep Learning AMIs for Microsoft Windows. http://amzn.to/2j6E6eT

Amazon Web Services now offers an AWS Deep Learning AMI for Microsoft Windows Server 2012 R2 and 2016. These new Amazon Machine Images (AMIs) contain all the necessary pre-built packages, libraries, and frameworks you need to start building AI systems using deep learning on Microsoft Windows.
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Amazon Chime works with Alexa for Business. Use Alexa to start your meetings with your voice. http://amzn.to/2j5mvUB

Looking for frustration-free online meetings? Try Amazon Chime for a new meeting experience on any device.
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Migrate Hyper-V VMs to AWS with AWS Server Migration Service. http://amzn.to/2BpGHHF

AWS Server Migration Service now supports the ability to migrate Hyper-V VMs to AWS. With this launch, you can now migrate virtual machines running in on-premises virtualization stacks from both Microsoft Hyper-V and VMware ESX/ESXi environments. AWS Server Migration Service is an agentless service ...
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Wondering about The State of Startups? Learn more at the SF AWS Loft Holiday Event & fireside chat with Josh Elman, Partner at Greylock Partners. http://amzn.to/2B4ISQC

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Explore all the new features & services announced at AWS re:Invent 2017! http://amzn.to/2AhLjCb

Click here to return to Amazon Web Services homepage
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Create, build & run VR, AR, and 3D applications with Amazon Sumerian. Details on our blog. http://amzn.to/2Bp353T

If you have had an opportunity to read any of my blog posts or attended any session I've conducted at various conferences, you are probably aware that I am definitively a geek girl. I am absolutely enamored with all of the latest advancements that have been made in technology areas like cloud, artif...
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Say hello to AWS Media Services, the new way to process, store, and monetize cloud-based video. http://amzn.to/2Bq6z69

Do you remember what web video was like in the early days? Standalone players, video no larger than a postage stamp, slow & cantankerous connections, overloaded servers, and the ever-present buffering messages were the norm less than two decades ago. Today, thanks to technological progress and a bro...
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Join the re:Invent action on http://amzn.to/2Boiu4k for deep dives on new services! Come see it in person if you’re at the Venetian Expo Hall.

Learn how Mapbox and CloudPassage are tackling large data sets at the SF AWS Loft. http://amzn.to/2B3FyVR

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Easily use private resources in your VPC with API Gateway with private VPC integrations. http://amzn.to/2j4DPJs

You can now provide access to HTTP(S) resources within your Amazon Virtual Private Cloud (VPC) without exposing them directly to the public Internet. You can use API Gateway to create an API endpoint that is integrated with your VPC.
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Join http://amzn.to/2j69WZo for a re:Invent launch announcement in 15 min. Watch it online or join us in person at the Venetian Expo Hall.

You can now set concurrency limits on individual AWS Lambda functions! http://amzn.to/2Bm3sfx

You can now set a concurrency limit on individual AWS Lambda functions. The concurrency limit you set will reserve a portion of your account level concurrency limit for a given function. This feature allows you to throttle a given function if it reaches a maximum number of concurrent executions allo...
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Easily deploy & run Machine Learning models on AWS Greengrass devices. Sign up for the preview! http://amzn.to/2Bomd1U

AWS Greengrass Machine Learning (ML) Inference makes it easy to perform ML inference locally on AWS Greengrass devices using models that are built and trained in the cloud. Until now, building and training ML models and running ML inference was done almost exclusively in the cloud.
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