Benefits of docker deployment: 1. Standardized application release, which can be used across platforms and hosts; 2. Save time and facilitate rapid deployment and startup; 3. Conveniently build systems based on SOA architecture or microservice architecture; 4. , Save costs; 5. Convenient for continuous integration; 6. Can be used as a lightweight host or node in a cluster system.
The operating environment of this tutorial: linux5.9.8 system, docker-1.13.1 version, Dell G3 computer.
What is a container?
Virtualization technology relying on linux kernel functions
What is docker?
An open source engine that can automatically deploy applications to containers
What is the difference between docker and the original tool?
- The traditional deployment mode is: Install (package management tool or source code package compilation)->Configure->Run;
- Docker The deployment mode is: Copy->Run.
#What changes will docker bring to server-side development/deployment?
Achieve lighter-weight virtualization to facilitate rapid deployment
It is OK for deployment Greatly reduce the time cost and labor cost of deployment
Benefits of docker deployment:
1) Standardized application release, docker container contains The operating environment and executable program can be used across platforms and hosts;
2) Save time, deploy and start quickly, VM startup is generally minutes, and docker container startup is seconds;
3) Conveniently build systems based on SOA architecture or microservice architecture, and achieve better loose coupling through service orchestration;
4) Save costs. In the past, a virtual machine required at least several gigabytes of disk space, docker containers Can be reduced to the MB level;
5) Convenient for continuous integration, making continuous integration very convenient by associating it with the code;
6) Can be used as a lightweight host or node of the cluster system, in IaaS On the platform, CaaS has appeared, replacing the original host with containers.
Docker supports packaging applications into a portable container, redefining the process of application development, testing, deployment and online. The core concept is Build once, Run anywhere. A typical application scenario is to provide continuous integration and continuous deployment services on development and operation.
Recommended learning: "docker video tutorial"
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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.

How to build portable applications with Docker and Linux? First, use Dockerfile to containerize the application, and then manage and deploy the container in a Linux environment. 1) Write a Dockerfile and package the application and its dependencies into a mirror. 2) Build and run containers on Linux using dockerbuild and dockerrun commands. 3) Manage multi-container applications through DockerCompose and define service dependencies. 4) Optimize the image size and resource configuration, enhance security, and improve application performance and portability.


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