AWS Compute Blog

Category: Compute

ICYMI: Serverless Q3 2018

Welcome to the third edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all of the most recent product launches, feature enhancements, blog posts, webinars, Twitch live streams, and other interesting things that you might have missed! If you didn’t see them, catch our Q1 ICYMI and […]

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Automating rollback of failed Amazon ECS deployments

Contributed by Vinay Nadig, Associate Solutions Architect, AWS. With more and more organizations moving toward Agile development, it’s not uncommon to deploy code to production multiple times a day. With the increased speed of deployments, it’s imperative to have a mechanism in place where you can detect errors and roll back problematic deployments early. In […]

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Amazon ECS and Docker volume drivers, part 2: Amazon EFS

← Introduction and Part 1: Amazon EBS   Post by: Tiffany Jernigan and Jeremy Cowan Introduction This is the second post in a series showing how to use Docker volumes with Amazon ECS. If you are unfamiliar with Docker volumes or REX-Ray, or want to know how to use a volume plugin with ECS and […]

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Amazon ECS and Docker volume drivers, part 1: Amazon EBS

→ Part 2: Amazon EFS   Post by: Jeremy Cowan, Ronnie Eichler, and Tiffany Jernigan Introduction Containers are emerging as the default compute primitive for building cloud-native applications.  They facilitate the adoption of continuous delivery, and help increase infrastructure use. However, deploying stateful application as containers has been challenging because containers have short life-spans, get […]

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Implementing Serverless Video Subtitles

This post is courtesy of Maxime Thomas, DevOps Partner Solutions Architect – AWS This story begins when I joined AWS at the beginning of the year. I had a hard time during my ramp-up period trying to handle the amount of information coming from all directions. Technical training, meetings, new colleagues, in a worldwide company—the […]

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Measuring service chargeback in Amazon ECS

Contributed by Subhrangshu Kumar Sarkar, Sr. Technical Account Manager, and Shiva Kumar Subramanian, Sr. Technical Account Manager Amazon Elastic Container Service (ECS) users have been asking us for a way to allocate cost to the deployed services in a shared Amazon ECS cluster. This blog post can help customers think through different techniques to allocate […]

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Celebrating 10 years of Microsoft Windows Server and SQL Server on AWS! Happy Birthday!

Contributed by Sandy Carter, Vice President of Windows on AWS and Enterprise Workloads Happy birthday to all of our AWS customers! In particular, I want to call out Autodesk, RightScale (now part of Flexera), and Suunto (Movescount) – just a few of our customers who have been running Microsoft Windows Server and Microsoft SQL Server on […]

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Using Cromwell with AWS Batch

Contributed by W. Lee Pang and Emil Lerch, WWPS Professional Services DNA is often referred to as the “source code of life.” All living cells contain long chains of deoxyribonucleic acid that encode instructions on how they are constructed and behave in their surroundings. Genomics is the study of the structure and function of DNA […]

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Deploying a Burstable and Event-driven HPC Cluster on AWS Using SLURM, Part 1

Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services When you execute high performance computing (HPC) workflows on AWS, you can take advantage of the elasticity and concomitant scale associated with recruiting resources for your computational workloads. AWS offers a variety of services, solutions, and open source tools to deploy, manage, and dynamically destroy compute […]

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Running high-scale web applications on Amazon EC2 Spot Instances

NOTE: Amazon EC2 Auto Scaling groups now lets you mix On-Demand, Spot and RIs, as well as different instance types, as described here. In the architecture described below, the Spot Fleet component can be replaced by an EC2 Auto Scaling groups. Contributed by Ran Sheinberg, Spot Specialist Solutions Architect, and the Appnext team At re:Invent […]

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