Amazon Elastic Container Service (Amazon ECS) vs Microsoft Azure

• 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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• Azure Functions is the easiest serverless service to work with in my experience. Easy to ship Node.js functions without bundling dependencies.
• Proactive and responsive support. We've worked with most other cloud providers - Amazon, Google, Oracle. Amazon Web Services' customer support is a black hole and their documentation is worthless. Google and Oracle are better, but Azure's support is responsive and their docs are pretty good.
• Azure's Web UI is pretty easy to work with

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• There is room for better documentation.
• Is not exactly Kubernetes (there is more knowledge in the market on this orchestrator).
• Logging can be difficult.

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• Could be easier to setup redundancy
• Feels as if there are too many options, bells, and whistles you could add.
• Microsoft Azure functions does not have a "Configure Services" method. Programming Azure functions has a slightly different programming model than does a "normal" API application. I would prefer that the startup process be identical.

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• We run 8 web applications (demo instances) on a single machine. At a particular time, no more than 3 applications run simultaneously. So, we keep only required containers up. This helps us to provision small EC2 machines without compromising performance.
• Overall Amazon ECS helps to have less number of dedicated machines as more than one solution can be deployed on a single instance. This reduces costs a lot.

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• It has taken a few years of planning and growth (which continue), but we've been able to successfully budget and plan for ever increased capacity by starting first with some Virtual Machines and factoring in on-prem maintenance vs cloud constant improvements. VM (server, compute, networking) costs even out quickly over time and will show savings very soon.
• Because of Azure Application Gateways (which cost very little to set up and maintain), we were able to build a state of the art single-sign-on hub for all of our users and other enterprise platforms (mostly non-Microsoft and non Azure systems), reducing the amount of time to switch among these for workers and increasing overall productivity.
• With Azure Active Directory, we do not need to maintain separate identity systems and can more easily integrate our organizations credentials into authorization for access to other systems.

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