Alauda Container Platform vs. Amazon Elastic Container Service (Amazon ECS)

Scenario: A financial institution needs to use both private cloud (sensitive data) and public cloud (high-concurrency business) at the same time. Dispersed resources lead to high operation and maintenance costs.Solution: Use Alauda to uniformly manage heterogeneous clusters, achieve one-click deployment of cross-cloud applications, intelligent traffic scheduling, and visualized cost analysis.

Amazon ECS is well suited for the scenarios where you want to deploy a microservice to a cloud and instead of manually specifying instance size, number of instances and then specifying the configurations and connecting it with other cloud services like database service, secret manager service etc., you just want to specify these configurations as a file and using that file, the ECS would deploy the service and keep it healthy. It might be less suited for a scenario when you don't want to stick to AWS specific solution for your microservice deployment. The ECS configuration file is specific to AWS ECS and may not be useful for other cloud providers like Azure etc.

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• 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.

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• Another AWS Service - While AWS has a service for just about everything, that is also a negative point. There is no service that does 4 out of 4 things you need. This service does 3 out of 4, another service does the fourth thing you need and another two things that the other service does.
• With AWS things in general, it's really hard to remain cloud agnostic. Keep that in mind.

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1. Support unified orchestration and scheduling of cross-cloud resources to meet business elasticity requirements in complex environments. 2. Built-in CI/CD, monitoring and other functions, significantly improving the entire application delivery cycle. 3. Active in large and medium-sized clusters (thousands of nodes), low control failure rate, suitable for core business load.

Aside from some ECS-specific terms to learn at first, learning & starting to use ECS is relatively straightforward. AWS docs on the topic are also of high quality, with sound & relevant examples to follow. Troubleshooting container issues is also a breeze thanks to CloudWatch integration & helpful error messages on the AWS console.

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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.

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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 have to look for plugins to do the things, everything is available and can be configured from the AWS console.

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• Easy to manage as it has an orchestrator to manage the containers.
• Less costs and more flexibility with Fargate.
• Negative (tied to AWS, so could not easily integrate other tools like running a Redis cluster. Still, it works but not easily like Kubernetes.