What are the advantages of docker over virtual machines?
The advantages of docker compared to virtual machines: 1. It takes up little disk space; 2. It starts up quickly, in seconds; 3. It has good concurrency, and one host can start thousands or hundreds of containers; 4 , High resource utilization; 5. Easier to migrate; 6. Easier to maintain; 7. Easier to expand.
The operating environment of this tutorial: linux5.9.8 system, docker-1.13.1 version, Dell G3 computer.
Virtual machine
Virtual machine (Virtual Machine) refers to a complete hardware system function simulated by software and running in a completely isolated environment A complete computer system in.
The difference between traditional virtual machines (Vmware, VirtualBox, etc.) is that the virtual system will not reduce the performance of the computer. Starting the virtual system does not need to be as time-consuming as starting the windows system, and running programs is more convenient and faster;
The virtual system can only simulate the same environment as the existing operating system, while the virtual machine can simulate other types of operating systems; and the virtual machine needs to simulate the underlying hardware instructions, so the application running speed is faster than that of the virtual machine. The system is much slower.
Container (Docker)
Docker allows developers to package their applications and dependencies into a portable container and then publish them Virtualization can be achieved on any popular Linux machine. Docker has changed the way of virtualization, allowing developers to directly put their results into Docker for management. Convenience and speed are already the biggest advantages of Docker. Tasks that used to take days or even weeks can be completed in just a few seconds under the processing of Docker containers.
With the advent of the cloud computing era, developers do not have to configure expensive hardware in order to pursue effects. Docker has changed the mindset that high performance must be high price. The combination of Docker and the cloud allows cloud space to be more fully utilized. It not only solves the problem of hardware management, but also changes the way of virtualization.
Advantages compared to VM
##Container technology | Virtual machine technology | |
Small, even dozens of KB (in the case of the mirror layer) | Very large, up to GB | |
Fast, a few seconds | Slow, a few minutes | |
Run directly on the host's kernel, different containers share the same Linux kernel | Run on Hypervisior | |
A host can start thousands or hundreds of containers | Up to dozens of virtual machines | |
Close to the local process of the host | Lower than the host | |
High | Low |
1. Fast startup speed
Starting a virtual machine requires starting the operating system of the virtual machine first, and then starting the application. This process is very slow;And starting Docker is quite To start a process on the host operating system.2. Occupies less resources (occupies disk space)
The virtual machine is a complete operating system and requires a large amount of disk, memory and CPU resources. The machine can only open dozens of virtual machines. Docker is just a process. It only needs to package applications and related components. It takes up very few resources during runtime. One machine can open thousands of Dockers.3. Easier migration
Provides a consistent operating environment. Packaged applications can be migrated to different machines without worrying about environment changes causing inability to run.4. Easier maintenance
Using layering technology and mirroring makes it easier for applications to reuse repeated parts. The higher the degree of reuse, the easier the maintenance work will be.5. Easier expansion
You can use the basic image to further expand to get new images, and the official and open source communities provide a large number of images. By extending these images, you can It's very easy to get the image we want. Recommended learning: "docker video tutorial"
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Docker and Kubernetes are key tools for modern software development and deployment. Docker simplifies application packaging and deployment through containerization, while Kubernetes is used for large-scale container orchestration and management. Using Docker and Kubernetes can significantly improve the scalability and management efficiency of your application.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

LXC is the foundation of Docker, and it realizes resource and environment isolation through cgroups and namespaces of the Linux kernel. 1) Resource isolation: cgroups limit CPU, memory and other resources. 2) Environment isolation: namespaces provides independent process, network, and file system views.

Best practices for using Docker on Linux include: 1. Create and run containers using dockerrun commands, 2. Use DockerCompose to manage multi-container applications, 3. Regularly clean unused images and containers, 4. Use multi-stage construction to optimize image size, 5. Limit container resource usage to improve security, and 6. Follow Dockerfile best practices to improve readability and maintenance. These practices can help users use Docker efficiently, avoid common problems and optimize containerized applications.

Using Docker on Linux can improve development and deployment efficiency. 1. Install Docker: Use scripts to install Docker on Ubuntu. 2. Verify the installation: Run sudodockerrunhello-world. 3. Basic usage: Create an Nginx container dockerrun-namemy-nginx-p8080:80-dnginx. 4. Advanced usage: Create a custom image, build and run using Dockerfile. 5. Optimization and Best Practices: Follow best practices for writing Dockerfiles using multi-stage builds and DockerCompose.

The core of Docker monitoring is to collect and analyze the operating data of containers, mainly including indicators such as CPU usage, memory usage, network traffic and disk I/O. By using tools such as Prometheus, Grafana and cAdvisor, comprehensive monitoring and performance optimization of containers can be achieved.

DockerSwarm can be used to build scalable and highly available container clusters. 1) Initialize the Swarm cluster using dockerswarminit. 2) Join the Swarm cluster to use dockerswarmjoin--token:. 3) Create a service using dockerservicecreate-namemy-nginx--replicas3nginx. 4) Deploy complex services using dockerstackdeploy-cdocker-compose.ymlmyapp.

How to use Docker and Kubernetes to perform container orchestration of enterprise applications? Implement it through the following steps: Create a Docker image and push it to DockerHub. Create Deployment and Service in Kubernetes to deploy applications. Use Ingress to manage external access. Apply performance optimization and best practices such as multi-stage construction and resource constraints.


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