What language is Docker written in?
Docker is written in Go language, which is a statically strongly typed, compiled, concurrent programming language with garbage collection function. It features simple code and supports high concurrency micro-threads. As well as more basic types, the language is generally used for back-end development.
Go framework recommendation
Gin Web Framework
Gin is a framework born for speed , compared with other frameworks, it is the fastest. At the same time, it also provides middleware functions, and we can easily integrate functions such as permission verification and record compression.
The Gin framework is very suitable for developing API interfaces. It provides a rich rendering mechanism and can also be used as a web backend processing application. At the same time, it also supports extensions, and there are many third-party extensions that can be used directly.
Revel
We know that as a compiled language, every modification needs to be recompiled, which is very unfriendly to our development. Fortunately, Revel provides a hot loading mechanism, as long as we modify it source code, it will automatically recompile, which is very convenient for our development and testing.
Revel provides developers with a complete set of web development tools, from routing and sessions to caching and testing. It can be said that Revel can help us with our commonly used functions.
Revel provides a convenient control flow, and we can easily replace the middleware with the functions we want.
Echo Framework
echo is a very mini framework. Although it is mini, its functions are not weak at all. At the same time, it also supports the http2 protocol.
At the same time, it also integrates TLS, which means we can automatically generate https authentication, which is very practical for current website development.
Smart routing and rich plug-in mechanism are its major features.
Beego
As a framework developed by Chinese people, its Chinese documentation is quite rich, and its community is also very rich.
Many large domestic companies are using the beego framework, and it can be said that its stability is still very good.
Beego is an MVC framework that provides Restful functions. At the same time, hot compilation, automated test code and automated packaging and deployment are its popular features.
beego provides a rich monitoring mechanism, which can facilitate our performance analysis. At the same time, its modularity makes the code very concise, which facilitates our personalized expansion.
Recommended tutorial: "Go Tutorial"
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The difference between Docker and Kubernetes is that Docker is a containerized platform suitable for small projects and development environments; Kubernetes is a container orchestration system suitable for large projects and production environments. 1.Docker simplifies application deployment and is suitable for small projects with limited resources. 2. Kubernetes provides automation and scalability capabilities, suitable for large projects that require efficient management.

Use Docker and Kubernetes to build scalable applications. 1) Create container images using Dockerfile, 2) Deployment and Service of Kubernetes through kubectl command, 3) Use HorizontalPodAutoscaler to achieve automatic scaling, thereby building an efficient and scalable application architecture.

The main difference between Docker and Kubernetes is that Docker is used for containerization, while Kubernetes is used for container orchestration. 1.Docker provides a consistent environment to develop, test and deploy applications, and implement isolation and resource limitation through containers. 2. Kubernetes manages containerized applications, provides automated deployment, expansion and management functions, and supports load balancing and automatic scaling. The combination of the two can improve application deployment and management efficiency.

Installing and configuring Docker on Linux requires ensuring that the system is 64-bit and kernel version 3.10 and above, use the command "sudoapt-getupdate" and install it with the command "sudoapt-getupdate" and verify it with "sudoapt-getupdate" and. Docker uses the namespace and control groups of the Linux kernel to achieve container isolation and resource limitation. The image is a read-only template, and the container can be modified. Examples of usage include running an Nginx server and creating images with custom Dockerfiles. common

The reason for using Docker is that it provides an efficient, portable and consistent environment to package, distribute, and run applications. 1) Docker is a containerized platform that allows developers to package applications and their dependencies into lightweight, portable containers. 2) It is based on Linux container technology and joint file system to ensure fast startup and efficient operation. 3) Docker supports multi-stage construction, optimizes image size and deployment speed. 4) Using Docker can simplify development and deployment processes, improve efficiency and ensure consistency across environments.

Docker's application scenarios in actual projects include simplifying deployment, managing multi-container applications and performance optimization. 1.Docker simplifies application deployment, such as using Dockerfile to deploy Node.js applications. 2. DockerCompose manages multi-container applications, such as web and database services in microservice architecture. 3. Performance optimization uses multi-stage construction to reduce the image size and monitor the container status through health checks.

Select Docker in a small project or development environment, and Kubernetes in a large project or production environment. 1.Docker is suitable for rapid iteration and testing, 2. Kubernetes provides powerful container orchestration capabilities, suitable for managing and expanding large applications.

Docker is important on Linux because Linux is its native platform that provides rich tools and community support. 1. Install Docker: Use sudoapt-getupdate and sudoapt-getinstalldocker-cedocker-ce-clicotainerd.io. 2. Create and manage containers: Use dockerrun commands, such as dockerrun-d--namemynginx-p80:80nginx. 3. Write Dockerfile: Optimize the image size and use multi-stage construction. 4. Optimization and debugging: Use dockerlogs and dockerex


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