What is Docker?

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En provenance du cours de Google Cloud

Getting Started with Google Kubernetes Engine

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Google Cloud

Getting Started with Google Kubernetes Engine

1762 notes

This one-week, accelerated online class equips students to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates. At the end of the course, you will be able to: • Understand container basics • Containerize an existing application • Understand Kubernetes concepts and principles • Deploy applications to Kubernetes using the CLI • Set up a continuous delivery pipeline using Jenkins • Locate more documentation and training. To get the most of out of this course, learners should have basic proficiency with command-line tools and Linux operating system environments, as well as Web server technologies such as Nginx. We also recommend systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment. >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

À partir de la leçon

Introduction to Containers and Docker

Acquaint yourself with containers, Docker, and the Google Container Registry.

What is Docker?2:40

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Google Cloud Training

So let's continue talking about containers and Dockers.

In part two here, we'll describe a little bit more about Dockers themselves.

Docker adoption has gone sky high.

Basically, they've gone, it's a line straight up from when they released in around 2013.

It's a massive adoption in the market today.

It's up to about 40% in one year Docked adoption itself.

So, containers are not going away.

On the contrary, containers are becoming very,

very big containerize it with Dockers.

Shows you a little bit of an example,

Docker build minus t with a py web-server.

Basically, a little Docker file that lets your application run

inside a Docker container and pull out some of the images themselves.

Here in the real world,

what you'll do is you'll push,

or pull your images from a registry itself.

Here's an example, shows you a registry,

the IP shows you where it is,

the project number, the port number, and et cetera.

You could push it or get it from that registry and then you

could run that py script to get your Docker of container.

Why containers are the packaging format of the feature themselves?

OK. First of all,

they're efficient, they're portable.

App Engine supports Docker containers in a custom runtime.

Google Container Registry provides a registry to host many,

many Docker images, including CI and CD integration images.

And also, the Compute Engine supports containers,

including managing instance groups with Docker containers.

One of the most powerful choices in container orchestration.

And now, we'll go into the lab.

This lab introduces you to containers.

You'll learn how to build, run,

and distribute a simple web server and web application as a self-contained Docker image.

Remember, containers isolate programs from each other and the underlying OS,

they enable you to move them across systems without reconfiguration.

Behind the scenes, containers use

low-level operating system constructs to put a shell around your application.

With the shell, you can specify unique system users,

host names, IP addresses,

RAM and CPU quotas,

and file system segments.

Everything you need to define the server in which the container runs.

But it's easier to start using containers without

being familiar with the technology that makes them work.

Later, when you want to configure more complex applications with many containers,

you'll want to control these shells with more precision.

But for now, it's enough to build and run and distribute a simple container.

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