Containers solve the 'works on my machine' problem by packaging applications with all their dependencies into standardized images that run consistently across any environment, enabling reliable deployment and version management; however, managing multiple containers requires orchestration tools like Kubernetes to handle lifecycle operations such as starting, stopping, scaling, and recovery.
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Basic Software Concepts - Containers本站添加:
Absolutely basic concept that you need to understand as a developer part eight.
Today we'll talk about containers. I'm sure that you heard this phrase, it works on my machine and it is from the time that we didn't have containers.
Back then it was really easy to build something that work perfectly fine on your local device, but when you deploy it, it failed on server because of a difference between server and your local setup. So containerization popularized it by tools like Docker changed that totally. So what you do now is you build an image with all the dependency that are required to run your application and run this image everywhere in exactly the same way. And of course you can run multiple images on the same device and now you can even imagine that changing the version is as simple as just running a different image. Today this is used everywhere to make sure that deployment is consistent and predictable and tools like Docker is one of the things that you need to understand. But now if But now of course you can have multiple containers and you need to have a way of managing them. And this is why we need orchestration. And the tools like Kubernetes. It allows you to control containers, when to start them, how to stop them, what what to do if they fail or how to scale them. Containers opened huge possibility for us, but also added complexity to what we have right now.
That's why probably we introduced this new topic of infrastructure as a code for DevOps so they can work work with images a little bit different than earlier.
And that's all. Uh thank you and see you in the next one.
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