Docker can be said to be a terminal command line virtual machine, but more accurately, it should actually be a virtual environment.
(Recommended tutorial: docker tutorial)
For example, do you want to use Linux seamlessly on your PC? Then virtual machines are not your only way out, you also have Docker! I prefer to call Docker a container. Of course, this is just a narrow interpretation of Docker. Docker is more than a container.
Docker contains 3 important concepts, which are:
1. Image (Image)
The image is static and can be shared by users. document.
Those of us who have played with dual systems and virtual machines all know that first you need an .iso image to install the system. The same is true for images in Docker. The image is static and you cannot operate it. You can only pull other people's images or push your own images.
2. Container
The image is static and inoperable and can only be shared and downloaded. So what can be operated?
is the container. Containers can be understood as the dynamic state of the image, which is the state of the system in our virtual machine after it is installed. In fact, it is wrong to say this. The most suitable description of the container should be the Live CD mode of the Linux iso file.
For example, when we played dual systems, we all entered Live CD mode, directly entering the system without installing the system. Docker containers are exactly the same concept, but they are lighter, faster and more convenient. But the disadvantage of Live CD is that all the modified and installed software you make after shutting down will be lost. The same is true for containers. Once they are directly launched, all previously installed gcc, vim, etc. will be lost.
If you want to save the changes, you need to encapsulate the current container into a new image, so that the previous changes will still be there after the new image is started next time.
3. Repository
I don’t know if you are familiar with git. The repository in Docker is very similar to the git code repository. You can pull it before pushing it. The image of your own warehouse can be moved locally, or you can pull the image pushed by others to the public warehouse to your local area. To put it bluntly, it is just like Baidu Cloud Disk. You can upload (push) the Docker environment you have created yourself, or you can download (pull) it. Mirror your own cloud to local.
At the same time, we know that the biggest feature of Baidu Cloud is sharing. Similar to Docker, if you get the Baidu Cloud sharing link (other people’s image name, label and other people’s user name), you can also download (pull) others Share the image locally and others can download (pull) your image because Docker repositories are public.
Of course, each free user has a quota to set one of his own images as private, which means that it is prohibited from being shared with others.
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The ways Docker can simplify development and operation and maintenance processes include: 1) providing a consistent environment to ensure that applications run consistently in different environments; 2) optimizing application deployment through Dockerfile and image building; 3) using DockerCompose to manage multiple services. Docker implements these functions through containerization technology, but during use, you need to pay attention to common problems such as image construction, container startup and network configuration, and improve performance through image optimization and resource management.

The relationship between Docker and Kubernetes is: Docker is used to package applications, and Kubernetes is used to orchestrate and manage containers. 1.Docker simplifies application packaging and distribution through container technology. 2. Kubernetes manages containers to ensure high availability and scalability. They are used in combination to improve application deployment and management efficiency.

Docker solves the problem of consistency in software running in different environments through container technology. Its development history has promoted the evolution of the cloud computing ecosystem from 2013 to the present. Docker uses Linux kernel technology to achieve process isolation and resource limitation, improving the portability of applications. In development and deployment, Docker improves resource utilization and deployment speed, supports DevOps and microservice architectures, but also faces challenges in image management, security and container orchestration.

Docker and virtual machines have their own advantages and disadvantages, and the choice should be based on specific needs. 1.Docker is lightweight and fast, suitable for microservices and CI/CD, fast startup and low resource utilization. 2. Virtual machines provide high isolation and multi-operating system support, but they consume a lot of resources and slow startup.

The core concept of Docker architecture is containers and mirrors: 1. Mirrors are the blueprint of containers, including applications and their dependencies. 2. Containers are running instances of images and are created based on images. 3. The mirror consists of multiple read-only layers, and the writable layer is added when the container is running. 4. Implement resource isolation and management through Linux namespace and control groups.

Docker simplifies the construction, deployment and operation of applications through containerization technology. 1) Docker is an open source platform that uses container technology to package applications and their dependencies to ensure cross-environment consistency. 2) Mirrors and containers are the core of Docker. The mirror is the executable package of the application and the container is the running instance of the image. 3) Basic usage of Docker is like running an Nginx server, and advanced usage is like using DockerCompose to manage multi-container applications. 4) Common errors include image download failure and container startup failure, and debugging skills include viewing logs and checking ports. 5) Performance optimization and best practices include mirror optimization, resource management and security improvement.

The steps to deploy containerized applications using Kubernetes and Docker include: 1. Build a Docker image, define the application image using Dockerfile and push it to DockerHub. 2. Create Deployment and Service in Kubernetes to manage and expose applications. 3. Use HorizontalPodAutoscaler to achieve dynamic scaling. 4. Debug common problems through kubectl command. 5. Optimize performance, define resource limitations and requests, and manage configurations using Helm.

Docker is an open source platform for developing, packaging and running applications, and through containerization technology, solving the consistency of applications in different environments. 1. Build the image: Define the application environment and dependencies through the Dockerfile and build it using the dockerbuild command. 2. Run the container: Use the dockerrun command to start the container from the mirror. 3. Manage containers: manage container life cycle through dockerps, dockerstop, dockerrm and other commands.


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