Services or capabilities described in this page might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China Regions. Only “Region Availability” and “Feature Availability and Implementation Differences” sections for specific services (in each case exclusive of content referenced via hyperlink) in Getting Started with Amazon Web Services in China Regions form part of the Documentation under the agreement between you and Sinnet or NWCD governing your use of services of Amazon Web Services China (Beijing) Region or Amazon Web Services China (Ningxia) Region (the “Agreement”). Any other content contained in the Getting Started pages does not form any part of the Agreement.
Amazon Fargate Documentation
Amazon Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Amazon Fargate is designed to help you focus on building your applications. Fargate reduces the need to provision and manage servers, lets you specify and pay for resources per application, and helps you improve security through application isolation by design.
How it works
Amazon Fargate is a serverless, pay-as-you-go compute engine that allows you to focus on building applications without managing servers. Amazon Fargate is compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS).
Use cases
Web applications, APIs, and microservices
Build and deploy applications, APIs, and microservices architectures with similar speed and immutability of containers. Fargate reduces the need to own, run, and manage the lifecycle of a compute infrastructure so that you can focus on applications.
Run and scale containerized workloads
Use Fargate with Amazon ECS or Amazon EKS to run and scale your containerized data processing workloads. Fargate also enables you to migrate and run your Amazon ECS Windows containers without refactoring or rearchitecting your legacy applications.
Support AI and ML training applications
Create an AI and ML development environment that is flexible and portable. With Fargate, achieve the scalability you need to boost server capacity without over-provisioning— to train, test, and deploy your machine learning (ML) models.
Additional Information
For additional information about service controls, security features and functionalities, including, as applicable, information about storing, retrieving, modifying, restricting, and deleting data, please see https://docs.amazonaws.cn/en_us. This additional information does not form part of the Documentation for purposes of the Sinnet Customer Agreement for Amazon Web Services (Beijing Region), Western Cloud Data Customer Agreement for Amazon Web Services (Ningxia Region) or other agreement between you and Sinnet or NWCD governing your use of services of Amazon Web Services China Regions.
