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This article will explain in detail about the basic introduction to Docker and example analysis, the content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

one。 Basic introduction of docker

Perhaps many friends have heard of docker and have not paid close attention to it. Here is a brief introduction to some of its basic knowledge. If there are any deficiencies, welcome to correct them!

1. Docker introduction

Many students have a preconceived idea that docker is a lightweight container. So let's popularize here that docker itself is not a container, but an engine tool for managing containers. It includes a server and a client, the server is a service process that manages all containers and file systems, and the client is a server controller that controls the server process of docker. As for containers, it mainly refers to the running examples of some specific applications, which not only ensures the independence of the running environment of the current application, but also ensures the independence of containers.

A product from development to launch, from the operating system, to the running environment, and then to the application configuration. As developers, we need to care about a lot of things, which is also a problem that many Internet companies have to face, especially after the iteration of various versions, the compatibility of different versions of the environment is a test for operators. The reason why Docker is growing so rapidly is that it provides a standardized solution to this.

Docker provides a set of virtualization and file system support that allows professionals to freely assemble the required runtime environment into the container and provide isolation of the container runtime. Like a large oil tanker, carrying containers, each container we can understand as our container, the contents of this container is completely self-defined by the assembler.

2. Basic concepts of docker

Docker itself is a container operation carrier, and the operation of a container requires a correct understanding of the concepts of warehousing, image, and container. As described above, if the container has a running instance, then how the current instance is deployed, you will understand the meaning of the image. An image is a packaged and deliverable running environment, and when we need it, we can create a corresponding running instance through the docker client, which is our container. As for warehousing, it is a place where we put a bunch of images. We can publish the images to the warehouse and pull them down when needed.

3. Basic use of docker

Take web as an example. After the development is completed, we package the application as an image, publish it to our own storage server or upload it directly to the server. The server pulls or loads the image, sets the corresponding port mapping and starts the container. If we have multiple web containers, we can also load the agent forward through negix. I will do a simple example later through a. Net core site. Of course, there are many continuous integration solutions, such as automatic generation of images and deployment after code submission, which will not be introduced here.

two。 Installation and configuration of docker under windows

Here I introduce the installation of Docker in windows and related configuration information. The current Docker for Windows contains two engines containers (linux and windows) by default

1. Download Docker for Windows, https://docs.docker.com/docker-for-windows/install/#download-docker-for-windows

two。 Check to see if the Hyper-V function is enabled, if not, you can add the Hyper-V function in the "enable or disable windows function", of course, you don't have to worry about it, the docker installation process will also be checked, if not, then the default add startup, but you can take advantage of waiting for docker download time to do this step directly, install Hyper-V may need to restart the system.

3. After the installation is complete, you can check the Hyper-V Manager. If the installation is normal, a linux virtual machine will be created by default as follows:

We can also view the Docker version through PowerShell:

After the installation is successful, we can set it accordingly.

1. Right-click the little whale icon (the online picture I found directly here) and click Settings

two。 The settings interface is as follows, in which Shared Drives can set our corresponding mapping drive to ensure that disk C is selected, and then select the drive letter where you apply. In the Advanced option, you can set the CPU corresponding to docker, which takes up memory and resources. Netword is mainly the current Docker IP information. Proxies can set the corresponding proxy information. Daemon mainly sets up the corresponding warehouse and the corresponding storage image site (distinguished from the docker image, this is the corresponding image of storage, because it is too slow to access foreign sites, you can set up domestic image proxy sites).

It is emphasized here that because it is too slow to access the Docker official website to pull the image, please purchase the VPN service or find the warehousing agency site. Domestic NetEase and DaoCloud have corresponding free accelerators. Here are my settings:

3. As mentioned above, Docker for Windows provides two engines, which we can switch through the Switch to Windows Containers function in the right-click menu.

4. At the same time, Docker for Windows provides interface management tools for containers, which can be accessed through the Kitematic function in the right-click menu. For the first time, you may be prompted to download and install. The interface is as follows:

3.docker stop: stop the container from running

4.docker start: start the container running

5.docker commit: submit the container to the image

6.docker images: view current images

8. Docker build: create an image

9. Docker load: load the image

The above are the main commands of docker. Explain them first and we will use them later.

four。 Use vs2017 to debug under docker

Here I will use a. Net core site example to enable docker debugging in 2017. If it is an existing project, right-click = "add =" to add Docker support.

1. Create a new websample site

This file is a docker command file needed for docker packaging. Docker-compose and docker commands are integrated internally in vs to complete the image generation and container creation.

You will find that the debug module is already docker. If you want to go back to the normal previous project, delete the automatically generated docker-compose project under the solution.

We start debugging. At this time, if we open Kitematic, we will find that our websample container has been created and the dev tag has been automatically added, as shown below:

five。 Package a .net core site image

Here I use the. net core site I just created to demonstrate how to complete the packaging of an image without using vs after we have finished the development of the site.

1. Publish the site just now to the specified folder

two。 Go to the published folder and modify the docker file

Check to see if the docker file exists, if not, copy it directly from the project, and modify it as follows

FROM microsoft/aspnetcore:1.0

WORKDIR / app

COPY. / app

EXPOSE 80

ENTRYPOINT ["dotnet", "websample.dll"]

a. Use microsoft/aspnetcore as the base image

b. Make a working directory for the container

c. Copy the current project file to the container's app directory

d. Set the container to expose port 80

e. Start the command, execute websample.dll

3. Build an image

Enter the file directory and execute the command docker build-t websample:latest. (the latter point is needed.)

4. Run the current mirror

After the image is created, we can create the corresponding running container through the image, and execute the following command: docker run-it-p 8000 websample:latest 80

You can see that our container is up and running, and we access 127.0.0.1virtual 8000

This is the end of the introduction to Docker and sample analysis. I hope the above content can be of some help and learn more knowledge. If you think the article is good, you can share it for more people to see.

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