The role of docker: 1. Solve problems caused by inconsistent operating environments; 2. Limit the largest CPU to use memory hard disk, which plays an isolation role and avoids an infinite loop in a piece of code; 3. Can be used as an expansion machine use.
Recommended related articles: "What is docker"
Docker as A software containerization platform that allows developers to build applications, package them together with their dependent environments into a container, and then easily publish and apply them to any platform.
Recommendation: "docker video tutorial"
Docker function:
Resolve inconsistent operating environment problems caused. In this way, there will be no situation where "it runs fine locally, but it doesn't work once it's on the server."
Limit the largest CPU to use the memory hard disk, which plays a role in isolation and avoids "a piece of code creates an infinite loop, fills up the disk, and other programs also hang up" Condition.
Used to expand the machine during Double 11.
Here are a few cases to let everyone experience it.
Case 1
A few days ago, a batch of the company's servers was about to expire. Since the servers were purchased in 2015, the performance of the hardware was much newer than it is now. The cloud host is low, so I decided to replace all servers with new-generation servers. However, when the editor was preparing to migrate the servers, I felt a sense of collapse in my heart. After careful calculation, each server had to do the same thing:
Install jdk, Tomcat, nginx
Configure jdk environment variables and system variables
Configuration Tomcat
Configure nginx
Install the video decoding components required for the project
Import the project Later, I decided to use docker deployment method for some special fonts needed. After installing docker on each server, I only need to pull the Tomcat image from the mirror warehouse on one of the servers, set all these configurations, and make Upload a mirror of your own to the mirror warehouse, then download the mirror you made on several other servers, run it in docker, upload the code, and everything will be fine.
Case 2
During the Christmas event not long ago, the company’s temporary activity plan was finally launched after the programmers worked overtime, but after a while After going online, I found that the Chinese name in the promotion poster was garbled. The leader asked the testers why they didn't do a good job in testing. The tester was very aggrieved and said that I had tested countless times and submitted the test reports. I solved all the problems before going online; there was no way to just go online. Let the server colleagues check the tomcat configuration in the official server and find that tomcat uses the default encoding: iso8859-1, while the test environment is UTF-8. In response to this problem, the project team decided to migrate the development environment to docker. After testing in the test environment, the image was packaged and released to the formal environment, which solved the problems caused by different environments.
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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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