Is it possible to create a scalable containerized environment on AWS? This is a common question for those who still have questions about Container.
David Bitti, chief scientist at Flexa Cloud explains this standard approach to packaging application code, settings, and dependencies into a single object.
In the following video, you also have an explanation of how this scalability is achieved in Amazon Web Service through containerization.
Check it out!
Are containers scalable?
“There is no other way to scale your application so quickly other than via containers. By reducing the time of boat, which you will not have, as the machines will be previously connected.
And another very important thing: as I packaged my entire application, and I have several environments — development, approval and production, for example — I can very quickly package so that the environment variables of that container describe the settings that I must have.
So I can have exactly identical development, staging, and production environments, ensuring I'll be able to play any version. The only things that change are, for example, the bank's username and password.
It's the best way today to track your application's development. That's because once the application is dockerized, we guarantee that nothing is missing. Everything the application needs to function is intrinsically linked to it.
Another cool thing is that the dockerfile is versioned along with the application. Thus, the developer controls the environment that the application needs to run.
This is important, because once you have to run in production, you don't have to have a whole operations team to install — and those giant installation manuals.”
How can Flexa Cloud help?
“Flexa is Amazon's great partner. We have the expertise and experience to run highly demanding applications in Amazon's containerized environment.
Amazon has several services. The main one, which we use a lot, is AWS Fargate, which does not need servers to run containers. We simply put the container and run it in a task. The advantage of this is: if your application needs to run for thousands of containers, Amazon itself already has a pool of servers available. No need to manage server, no worry about boot time.
Another advantage of AWS Fargate Spot, with which it is possible to reduce the cost of a task by up to 90% as long as its resilience is guaranteed.
Another advantage of Amazon is that it has several integrated services. For example, the AWS Elastic File System (EFS), which is like a network drive where you can run, in all containers, in the Fargate environment.
Amazon, in terms of container, is today the best architecture to run any application that needs to scale fast, with high demand. And you will pay for the second of the task you needed.
We have customers today that at normal times need, for example, two tasks; but during peak hours, they need 30/40 tasks. They only pay CPU and memory for the seconds of tasks used in the peak period.
This causes a drastic drop in costs, something far superior to any other solution on the market”.
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