Amazon Elastic Container Service (Amazon ECS) is a scalable, high performance container management service that supports Docker containers.
$0
per hour per GB
Azure Kubernetes Service (AKS)
Score 8.5 out of 10
N/A
Microsoft's Azure Kubernetes Service (AKS) is designed to make deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. It allows development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.
There is no additional charge for Amazon ECS. You pay for AWS resources (e.g., Amazon EC2 instances or Amazon EBS volumes) you create to store and run your application. You only pay for what you use, as you use it; there are no minimum fees and no upfront commitments.
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Chose Amazon Elastic Container Service (Amazon ECS)
The comparison between Amazon ECS versus Azure Kubernetes Service (AKS) for us came down to the other services already in motion. A lot of companies tend to go really deep with a particular vendor (Amazon, Google, Microsoft etc) and we were already using a bunch of Amazon …
Chose Amazon Elastic Container Service (Amazon ECS)
I chose Amazon ECS over Amazon EKS and other products because the whole infrastructure was decided to be designed on AWS cloud and Amazon ECS made it easier to make the clusters live in just a few minutes. Amazon ECS has better integration with other AWS services and we don't …
Amazon Elastic Container Service (Amazon ECS) is well suited where you need the ease of managing the clusters by letting AWS do the stuff for you. Obviously, whenever you want to run the docker based workloads, it is always better to go for either AWS ECS or AWS EKS. If you are interested in staying at AWS only and don't want to be cloud-agnostic, then go for AWS ECS instead of AWS EKS. AWS ECS is cheaper than AWS EKS and also more managed by AWS and better integrated with other AWS services. If you want to run those workloads as serverless, then AWS ECS Fargate is the best option to go with. If you already have a Kubernetes based setup that you want to migrate to AWS, then go for AWS EKS instead of AWS ECS.
At one instance, there was a fire in our data center and the backup power had some issues because of which the whole DC went down. I believe with AKS and the replication it's easier to handle such a situation. Also, the scenario would have been pretty transparent to the end-users.
One of the biggest advantages is the flexibility to change underlying EC2 instances. As the traffic or demand increases, we can easily change EC2 instances without any issues.
Amazon ECS APIs are extremely robust and one can start and stop containers by firing one post request only. So, it is not mandatory to keep the demo solutions up for every time. Just at the time of demo fire the command - make the container up and running - do the demo - down the container with API. A simple portal can control every container which helps non-technical (sales, marketing) to do the demo without keeping the solutions up for the entire time frame.
Support is relatively good, although the documentation sometimes is lacking, as well as outdated in our experience, especially when we initiated the process of using this service. But once we found how to assemble things, we haven't really required support from anyone at AWS, the service works without problems so we haven't had the need to contact support, which speaks well of how ECS is built.
If you are using AWS, you will be using Amazon ECS. I have also used Azure Container Instances and it works just as well in Azure as ECS does in AWS. It's really all a matter of what cloud provider you are utilizing. Because of the "Cloud Wars," it's difficult to measure cross-cloud connectivity, but I have had better luck remaining cloud agnostic in other cloud providers than AWS (Azure, GCP). Because of the sheer volume of tooling in AWS and inter-connectivity between them, it's almost easier to be fully AWS if you are using it in any kind of capacity.
The ability to create new instances (i.e. elastic provisioning) is probably the fastest with Azure Kubernetes Service compared to the alternatives that I have looked at. From a pricing perspective, Microsoft always seems to find a way to be more competitive in this area, and literally every other field they play in.
The autoscaling kept the performance of the services great.
We saved money by running the workloads on AWS ECS in Fargate mode by having different settings for different services to save on the hardware configuration side as well as having scheduled tasks.