Amazon ECS now supports Windows containers on container instances that are launched with the Amazon ECS-optimized Windows Server AMI and on AWS Fargate. For more information about Windows containers on AWS Fargate, see Windows containers on AWS Fargate considerations.
The source code for the Amazon ECS container agent is available on GitHub. We encourage you to submit pull requests for changes that you would like to have included. However, we do not currently provide support for running modified copies of this software. You can view open issues for Amazon ECS and Windows containers on our GitHub issues page.
Windows containers can't run on Linux container instances, and the opposite is also the case. For better task placement for Windows and Linux tasks, keep Windows and Linux container instances in separate clusters and only place Windows tasks on Windows clusters. You can ensure that Windows task definitions are only placed on Windows instances by setting the following placement constraint: memberOf(ecs.os-type=='windows').
Windows containers and container instances can't support all the task definition parameters that are available for Linux containers and container instances. For some parameters, they aren't supported at all, and others behave differently on Windows than they do on Linux. For more information, see Amazon EC2 Windows task definitionconsiderations.
The IAM roles for tasks feature uses a credential proxy to provide credentials to the containers. This credential proxy occupies port 80 on the container instance, so if you use IAM roles for tasks, port 80 is not available for tasks. For web service containers, you can use an Application Load Balancer and dynamic port mapping to provide standard HTTP port 80 connections to your containers. For more information, see Service load balancing.
We launched Amazon EC2 Container Service in late 2014 with support for Linux containers. So far this year we have added support for Application Load Balancing, IAM Roles for ECS tasks, Service Auto Scaling, the Amazon Linux Container Image, and the Blox Open Source Scheduler.
Support for Windows Containers Today we are continuing our string of ECS launches by adding beta-level support for Windows containers. You can now start to containerize and test your Windows applications while we finalize this feature ahead of production use.
The simplest way to get a cluster set up is to use eksctl, the official CLI tool for EKS. The command below creates a cluster called demo-windows-cluster and adds two Linux nodes to the cluster. Currently, at least one Linux node is required to support Windows node and pod networking, however, I have selected two for high availability and we would recomend that you do the same.
Fargate support for Amazon ECS Windows containers is available in all AWS Regions, excluding AWS China Regions and AWS GovCloud (US) Regions. It supports Windows Server 2019 Long-Term Servicing Channel (LTSC) release on Fargate Windows Platform Version 1.0.0 or later. Visit our public documentation and read our Running Windows Containers with Amazon ECS on AWS Fargate blog post to learn more about using this feature from API, AWS Command Line Interface (CLI), AWS SDKs, or the AWS Copilot CLI.
Today, we are excited to announce AWS Fargate now supports Amazon ECS Windows containers. With this latest release, customers can take advantage of the serverless, pay-as-you-go compute engine for running their Microsoft Windows applications. By choosing vCPU and memory resources, customers can launch Windows containers without the burden of managing and maintaining the Windows servers.
1.3) On Configure task and container definitions, specify the task definition name, task role, and select Windows Server 2019 through Operating system family. Note: There is no technical difference or limitation between Windows Server 2019 Core or Windows Server 2019 Full when running Windows containers. The proposal for both choices is to give customers a seamless transition to match the exact Windows operating system (OS) installation used before the application containerization. AWS encourages customers to test the Windows container image in both options and recommends Windows Server 2019 Core for maximum performance and resources availability. Amazon ECS on AWS Fargate does not support direct access to the underlying OS through Remote Desktop Service (RDP) or remote PowerShell execution.
AWS ECS uses a percent-based model to define the number of containers to berun or shut down during a rolling update. The Docker Compose CLI computesrolling update configuration according to the parallelism and replicasfields. However, you might prefer to directly configure a rolling updateusing the extension fields x-aws-min_percent and x-aws-max_percent.The former sets the minimum percent of containers to run for service, and thelatter sets the maximum percent of additional containers to start beforeprevious versions are removed.
Windows Server containers were introduced in Windows Server 2016 and enhanced in Windows Server 2019. Amazon's new service provides AMIs (Amazon Machine Instances) of both types in order to run your Windows containers. These AMIs include Docker 18.09 as well as the ECS Agent.
Container technology was born on Linux and while Microsoft has made a great effort, in partnership with Docker, to support Windows containers, developers may wonder why they should bother, particularly when you can write .NET Core applications that run on Linux.
From version 1.14, Amazon EKS supports Windows Nodes that allow running Windows containers. In addition to having Windows nodes, a Linux node in the cluster is required to run CoreDNS, as Microsoft doesn't support host-networking mode yet. Thus, a Windows EKS cluster will be a mixture of Windows nodes and at least one Linux node. The Linux nodes are critical to the functioning of the cluster, and thus, for a production-grade cluster, it's recommended to have at least two t2.large Linux nodes for HA.
Amazon ECS is a scalable, high-performance container orchestration service that supports Docker containers. With the Datadog Agent, you can monitor ECS containers and tasks on every EC2 instance in your cluster.
The Datadog Agent in ECS should be deployed as a container once on every EC2 instance in your ECS cluster. This is done by creating a Task Definition for the Datadog Agent container and deploying it as a Daemon service. Each Datadog Agent container then monitors the other containers on their respective EC2 instances.
But then, in 2020, AWS added support for containers. This may be naive, but the lambda product suddenly made more sense to me. If I could take my app, wrap it up in a container, which I was doing already, and have it running in AWS Lambda, it was like getting to deploy things into a giant Kubernetes cluster in the sky. The horizontal scaling features that were hard to get right in Kubernetes (HPAScaleToZero), were built into lambdas, and if your app has a slow start up time, with provisioned concurrency, you can always keep some instances running, never scaling back right to zero.
AWS provides alot of cloud based services, and Elastic Container Service (ECS) is just one of many. ECS, just like kubernetes, helps you manage containers.For one to fully use ECS, you must have a good understanding of what containers, images are all about.
Please note that ECS Exec is supported via AWS SDKs, AWS CLI, as well as AWS Copilot. In the future, we will enable this capability in the AWS Console. Also, this feature only supports Linux containers (Windows containers support for ECS Exec is not part of this announcement).
Another enhancement we got this year is the support for IPv6, released in early 2022. There is no way to migrate an existing cluster, which means that for our testing we have to create a new IPv6 EKS cluster in an IPv6 VPC. You can see the full code used in the eks-on-ec2-ipv6 folder in the vlaaaaaaad/blog-scaling-containers-on-aws-in-2022 repository on Github.
Some folks would dismiss ECS on Fargate Windows, but it is a major announcement! People that had to run specific Windows-only dependencies can now easily adopt containerized applications or, for the first time, run Windows containers serverlessly on AWS. Windows support is great news for folks doing complex .NET applications that cannot be moved to Linux: they can now move at way higher velocity!
To build Windows container images, we have to make a couple of changes. First, we have to use a Windows base image for our container. For our Python web app it's easy: the official Python base images have Windows support since 2016. Unfortunately, Docker's build-and-push Action has no support for building Windows containers. To get the image built, we'll have to run the docker build commands manually. Since GitHub Actions has native support for Windows runners, this is straightforward. Like all our images, the Windows container image is pushed to ECR which does support Windows images since 2017.
For App Runner, we don't see any complex Control Plane and Worker Plane separation: we tell App Runner to run our services, and it does that for us! App Runner is an easier way of running containers, further building up on the experience offered by ECS on Fargate. If you're really curious how this works under the covers, an awesome deep-dive can be read here and AWS has a splendid networking deep-dive here.
App Runner starts scaling a bit slower than ECS on Fargate, but then scales just as fast. Scaling finishes quickly, as App Runner supports a maximum of 25 containers per service. There is no way to run more than 25 containers per service, but multiple services could be used.
For a summary of Kubernetes features supported in Windows, see the Kubernetes documentation on supported functionality and limitations for using Kubernetes with Windows or the guide for scheduling Windows containers in Kubernetes. 2b1af7f3a8