AWS Compute Blog

Tag: Amazon EC2

Sharing automated blueprints for Amazon ECS continuous delivery using AWS Service Catalog

This post is contributed by Mahmoud ElZayet | Specialist SA – Dev Tech, AWS   Modern application development processes enable organizations to improve speed and quality continually. In this innovative culture, small, autonomous teams own the entire application life cycle. While such nimble, autonomous teams speed product delivery, they can also impose costs on compliance, […]

Optimizing Amazon ECS task density using awsvpc network mode

This post is contributed by Tony Pujals | Senior Developer Advocate, AWS   AWS recently increased the number of elastic network interfaces available when you run tasks on Amazon ECS. Use the account setting called awsvpcTrunking. If you use the Amazon EC2 launch type and task networking (awsvpc network mode), you can now run more […]

Using AWS App Mesh with Fargate

This post is contributed by Tony Pujals | Senior Developer Advocate, AWS   AWS App Mesh is a service mesh, which provides a framework to control and monitor services spanning multiple AWS compute environments. My previous post provided a walkthrough to get you started. In it, I showed deploying a simple microservice application to Amazon ECS […]

Using partition placement groups for large distributed and replicated workloads in Amazon EC2

This post is contributed by Ankit Jain – Sr. Product Manager, Amazon EC2 and Harsha Warrdhan Sharma – Global Account Solutions Architect at AWS Before we introduced partition placement groups, customers deployed large distributed and replicated workloads across multiple Availability Zones to reduce correlated failures. This new Amazon EC2 placement strategy helps reduce the likelihood […]

GPU workloads on AWS Batch

Contributed by Manuel Manzano Hoss, Cloud Support Engineer I remember playing around with graphics processing units (GPUs) workload examples in 2017 when the Deep Learning on AWS Batch post was published by my colleague Kiuk Chung. He provided an example of how to train a convolutional neural network (CNN), the LeNet architecture, to recognize handwritten digits […]

Getting started with the A1 instance

This post courtesy of Ali Saidi, AWS, Principal Engineer At re:Invent 2018 AWS announced the Amazon EC2 A1 instance. These instances are based on the AWS Nitro System that powers all of our latest generation of instances, and are the first instance types powered by the AWS Graviton Processor. These processors feature 64-bit Arm Neoverse […]

Building a tightly coupled molecular dynamics workflow with multi-node parallel jobs in AWS Batch

Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services and Aswin Damodar, Senior Software Development Engineer, AWS Batch At Supercomputing 2018 in Dallas, TX, AWS announced AWS Batch support for running tightly coupled workloads in a multi-node parallel jobs environment. This AWS Batch feature enables applications that require strong scaling for efficient computational workloads. Some of […]

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 […]