AWS Compute Blog

Tag: fargate

Hosting ASP.NET Core applications in Amazon ECS using AWS Fargate

This post courtesy of Sundararajan Narasiman, AWS Partner Solutions Architect There is an increasing amount of customer interest in hosting microservices-based applications using Amazon Elastic Container Service (ECS), largely due to the benefits offered by AWS Fargate. AWS Fargate is a compute engine for containers that allows you to run containers without needing to provision, […]

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Machine Learning with AWS Fargate and AWS CodePipeline at Corteva Agriscience

This post contributed by Duke Takle and Kevin Hayes at Corteva Agriscience At Corteva Agriscience, the agricultural division of DowDuPont, our purpose is to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. As a global business, we support a network of research stations to improve agricultural […]

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Building, deploying, and operating containerized applications with AWS Fargate

This post was contributed by Jason Umiker, AWS Solutions Architect. Whether it’s helping facilitate a journey to microservices or deploying existing tools more easily and repeatably, many customers are moving toward containerized infrastructure and workflows. AWS provides many of the services and mechanisms to help you with that. In this post, I show you how […]

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Building Blocks of Amazon ECS

So, what’s Amazon Elastic Container Service (ECS)? ECS is a managed service for running containers on AWS, designed to make it easy to run applications in the cloud without worrying about configuring the environment for your code to run in. Using ECS, you can easily deploy containers to host a simple website or run complex […]

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Set Up a Continuous Delivery Pipeline for Containers Using AWS CodePipeline and Amazon ECS

This post contributed by Abby Fuller, AWS Senior Technical Evangelist Last week, AWS announced support for Amazon Elastic Container Service (ECS) targets (including AWS Fargate) in AWS CodePipeline. This support makes it easier to create a continuous delivery pipeline for container-based applications and microservices. Building and deploying containerized services manually is slow and prone to errors. Continuous delivery […]

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