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You probably by now have heard about Doorknocker, and in case you're wondering what Dockery's and you

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do not know, Dan continued watching this lecture because I'll try to give you like a minimal introduction

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to Dukkha.

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And what I want to do in this lecture is to give you just enough information so that what we are doing

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this course we get Lipsky makes sense to begin with.

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Dukkha is the technology that is based on containers which allow virtualization.

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Think about that.

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You need to install Noguez in order to run a piece of code, for example, a Cielito, and you first

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have to download the proper version of Noguez, install it and then execute the sellitto that you are

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interested in.

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And this is only a very simple example.

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And what that does is to provide you with images and you can build these images and more or less you

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can start them on demand.

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So how does this journey look like?

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Is that you build an image where you say, I want to have no G.S. installed in this image, and when

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you're using this image, you only have to start it and you can already interact with.

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No, just because Noguez will be somehow installed.

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What Docker is good at is to make it easier to create and deploy and run applications when using containers.

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And what the container allows us to do is to package up an application with everything that it needs.

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So we have no idea as.

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But maybe Norges is also dependent on other tools that we need to install as well.

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And you can more or less install all these dependencies that we need, configure them as we wanted to

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have, and sort of package them in a container and say, well, if you want to run this tool, just

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take this container started and you will have everything that you need.

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You can sort of review docker like a virtual machine.

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So if you don't want a virtual machine is like you have an operating system that actually runs on another

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host, but is thinks it's its own operating system.

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Traditionally, so far, the approach was to install on the CIA server all the tools and all the packages

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that we need, and this can be problematic because one simple example would be you installed Noguez

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on your lunch disintegrations server in version X and you use it for building to A, but then you start

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working on it will be as well.

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And to be would like to use a newer version of Norges, but you cannot install two time the same utility

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on a computer.

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So this is why everything on a computer, everything on a several will have to work with the same version.

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And when using Dukkha, this is really not a problem because you can specify and building to a a legacy

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version of Norges.

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But I'm using to be wita absolutely.

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Newest version of Norges or any other tool out there.

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This is just simple example.

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So this is why it's very nice to use Docker and to understand what's actually the power of it.

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And we are going to use it in this cause for different purposes.

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And this is generally the concept that is being used in.

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You are starting a CIA runner and you are specifying to the CIA runner, A.S.A. runner for the job that

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you're executing right now.

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Make sure you use this specific image where I already have installed Noguez or something else.

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And this is why Dukkha is important and relevant in this scenario.

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And hopefully, if managed in this, to give you like a short introduction to what Dockery's.

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But I'm sure it will make much, much more sense when you start using it, when using it or even locally

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on your computer.

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So let's continue with the rest of the course.