Shadowing Practice: What is Docker? Docker container concept explained || Docker Tutorial 1 - Learn English Speaking with Video
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Hello and welcome to Kubernetes tutorial.
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Kubernetes is an open source technology developed by Google in order to make orchestrating containerized applications easier.
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That's why an official definition of Kubernetes is actually a container orchestration tool.
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So as you can see, containers are the base part of Kubernetes technology.
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So if you want to learn Kubernetes, you first have to understand what a container is and why we use them.
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So in this video series, we'll talk about container concepts and one of its most popular implementations, which is Docker.
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So we'll talk about what a container is and what problems it solves.
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We will also look at a container repository, which is basically a storage for containers.
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We'll see how a container can actually make the development process much easier
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and more efficient and also how they solve some of the problems that we have in the deployment process of applications.
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So let's dive right into it.
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What a container is a container is a way to package applications with everything they need inside of that package,
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including the dependencies and all the configuration necessary.
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And that package is portable, just like any other artifact is,
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and that package can be easily shared and moved around between a development team or development and operations team.
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And that portability of containers plus everything packaged in one isolated environment gives it some of the advantages
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that makes development and deployment process more efficient.
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And we'll see some of the examples of how that works in later slides.
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So as I mentioned, containers are portable, so there must be some kind of a storage for those containers so that you can share them and move them around.
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So containers leave in a container repository.
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This is a specific this is a special type of storage for containers.
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Many companies have their own private repositories where they host or the way they store all the containers.
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And this will look something like this where you you can push all of the containers that you have.
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But there is also a public repository for Docker containers where you can browse
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and probably find any application container that you want.
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So let's head over to the browser and see how that looks like.
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So if I here search for a doctor hub which is the name of the public repository for Docker, I will see this official website.
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So here if you scroll down,
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you see that there are more than 100,000 container images of different applications hosted or stored in this repository.
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So here you see just some of the examples and for every application there is this official Docker container container image.
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But if you are looking for something else, you can search it here.
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And I see there is an official image for Jenkins.
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There's also a lot of non official images or container images that developers or or even from Jenkins itself.
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They actually store it here.
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So public repository is where you usually get started when you're using
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or when you're starting to use the containers where you can find any application image.
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So now let's see how containers improve the development process by specific examples.
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How did we develop applications before the containers?
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Usually when you have a team of developers working on some application,
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you would have to install most of the services on your operating system directly.
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Right.
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For example, you are developing, developing some JavaScript application and you need a Postgres QL and you need Redis for messaging.
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And every developer in the team would then have to go and install the binaries of those services and.
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Configure them and run them on their local development environment and.
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depending on which operating system they using, the installation process will look actually different.
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Also, another thing with installing services like this is that you have multiple steps of installation.
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So you have a couple of commands that you have to execute
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and the chances of something going wrong and error happening is actually pretty high because
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because of the number of steps required to install each service. And this.
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And this approach
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or this process of setting up a new environment can actually be pretty tedious depending on how complex your application is.
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For example, if you have 10 services that your application is using, then you would have to do that 10 times on in each operating system environment.
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So now let's see how containers solve some of these problems with containers.
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You actually do not have to install any of the services directly on your operating system
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because the container is its own isolated operating system layer with Linux base image as we saw in the previous slides,
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you have everything packaged in one isolated environment.
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So you have the Postgres QL with a specific version packaged with the configuration and the start script inside of one container.
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So as a developer, you don't have to go and look for the binaries to download on your machine,
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but rather you just go ahead and check out the container repository to find
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that specific container and download on your local machine.
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And the download step is just one Docker command which fetches the container and starts it at the same time.
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And regardless of which operating system you're on, the command, the Docker command for starting the container will not be different.
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It will be exactly the same.
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So we have ten applications that your that your JavaScript application uses and depends on.
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You would just have to run ten Docker commands for each container and that will be it.
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Which makes the setting up your local development environment actually much easier and much more efficient than the previous version.
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Also, as we saw in the demonstration before,
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you can actually have different versions of the same application running on your local environment without having any conflict.
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So now let's see how containers can improve the deployment process before the containers.
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A traditional deployment process will look like this developer development team
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will produce artifacts together with set of instructions of how to actually install and configure those artifacts on the server.
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So you would have a jar file or something similar for your application.
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And in addition, you would have some kind of a database service
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or some other service also with a set of instructions of how to configure and set it up on the server.
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So development team would give those artifacts over to the operations team
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and the operation team will handle setting up the environment to deploy those applications.
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Now the problem with this kind of approach is that, first of all, you need to configure everything and install everything directly on the operating system,
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which we saw in the previous example
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that could actually lead to conflicts with dependency versions and the services running on the same host.
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Another problem that could arise from this kind of process is when there is misunderstanding between the development team and operations.
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Because everything is in a textual guide,
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there could be cases where developers miss to mention some important point about configuration.
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And when that fails, the operations team have to go back to the developers and ask for more details.
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And this could lead to some back and forth communication until the application is successfully deployed on the server.
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With containers, this process is actually simplified.
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Because now you have the developers
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and operations working in one team to package the whole configuration dependencies inside the application just as we saw previously.
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And since it's already encapsulated in one environment, you don't have to configure any of this directly on the server.
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So the only thing you need to do is
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run a Docker command that pulls that container that you stored somewhere in the repository and then runs it.
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And that makes the process.
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This is, of course, a simplified simplified version, but then makes exactly the problem that we saw on the previous slide much more easier.
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No environmental configuration needed on the server.
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The only thing, of course, you need to do is you have to prepare,
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you have to install and set up the Docker runtime on the server before you will be able to run containers there.
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But that's just one time effort.
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And later in this tutorial, we will also see how Kubernetes actually offers even more abstraction
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of the deployment environment to make the deploying of super complex
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applications much much easier than it was possible with the traditional approach.
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have any questions if something wasn't clear in the video please post them in the comment section below
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and I will try to answer them.
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So thank you and see you in the next video.
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Context & Background
This tutorial introduces the essential concept of containers in modern software development, specifically through Docker. Understanding containers is foundational for utilizing Kubernetes, a powerful tool developed by Google for orchestrating containerized applications. By learning about containers, developers can streamline their workflows, making application deployment more efficient and manageable. This content aims to provide insights into why containers matter, how they solve common issues in application development, and the role of container repositories in sharing these packages among team members.
Top 5 Phrases for Daily Communication
- “What is a container?” - An essential question to deepen understanding of this pivotal technology.
- “Containers leave in a container repository.” - Useful for discussing where applications and their dependencies are stored for easy access.
- “The portability of containers…” - A phrase that highlights one of the major benefits of using containers in development.
- “How did we develop applications before containers?” - A reflective question to engage in conversations about historical and current practices.
- “You can push all of the containers that you have.” - A practical statement for explaining how teams can collaborate effectively using container technology.
Step-by-step Shadowing Guide
To effectively tackle the terminology and concepts discussed in this video, follow these simple steps:
- Watch the video attentively: Start by watching the entire video without pausing. Get familiar with the overall concepts being discussed.
- Note key phrases: As you watch, jot down the top phrases mentioned above. These phrases are crucial as they represent common needs and situations in software development communication.
- Practice shadowing: Replay the video and repeat what the speaker says immediately after they say it. This technique, known as shadow speak, can improve your pronunciation and fluency significantly.
- Engage in discussion: Partner with a fellow English learner or speak in front of a mirror about the topics covered. Discussing what you learned reinforces your vocabulary and builds confidence in using technical English.
- Integrate into English speaking practice: Use the phrases you've learned in your daily conversation or while practicing for the IELTS. Aim to include them in different contexts to diversify your speaking skills.
By incorporating these steps into your routine, you can enhance your understanding of technical subjects while simultaneously improving your English speaking practice through immersive learning methods like shadowspeak and shadow speech. Engaging with content like this on platforms such as YouTube offers a unique opportunity to learn English with youTube while absorbing valuable technical knowledge.
דקדוק בסרטון הזה
המבנים שהדובר משתמש בהם הכי הרבה, עם המילים המדויקות מהסרטון:
| מבנה | בסרטון |
|---|---|
| משפטי זיקה (Relative clauses) who / which + clause — מידע נוסף על אדם או דבר | implementations, which is · repository, which is · hub which is |
| סביל (Passive voice) be + past participle — הדגש הוא על מה שקורה, לא על מי שעושה את הפעולה | can be easily shared · is actually simplified |
מהי טכניקת השאדואינג?
שאדואינג היא טכניקת למידת שפה מבוססת מדע שפותחה במקור להכשרת מתורגמנים מקצועיים ופופולרית על ידי הפוליגלוט ד"ר אלכסנדר ארגואלס. השיטה פשוטה אך עוצמתית: אתה מקשיב לאודיו באנגלית ילידית וחוזר עליו בקול רם מיד — כמו צל העוקב אחרי הדובר עם עיכוב של 1–2 שניות בלבד. בניגוד להאזנה פסיבית או תרגילי דקדוק, שאדואינג מכריח את המוח והשרירים בפה לעבד ולשחזר דפוסי דיבור אמיתיים בו זמנית. מחקרים מראים שזה משפר משמעותית את דיוק ההגייה, האינטונציה, הקצב, הדיבור המחובר, הבנת השמיעה ושטף הדיבור — מה שהופך אותו לאחת השיטות היעילות ביותר להכנה לIELTS Speaking ולתקשורת באנגלית בעולם האמיתי.