


How to use Docker to manage and expand multi-node clusters
In today's cloud computing era, containerization technology has become one of the most popular technologies in the open source world. The emergence of Docker has made cloud computing more convenient and efficient, and has become an indispensable tool for developers and operation and maintenance personnel. The application of multi-node cluster technology is widely used based on Docker. Through multi-node cluster deployment, we can utilize resources more efficiently, improve reliability and scalability, and also be more flexible in deployment and management. Next, we will introduce how to use Docker to manage and expand multi-node clusters.
Step one: Build a multi-node cluster environment
In order to achieve the management and expansion of a multi-node cluster, we need to build multiple nodes first. In this article we use Docker Swarm technology, which can help us manage multi-node clusters more conveniently.
1) Install Docker and Docker Compose on multiple machines and ensure that they can communicate with each other.
2) Select one of the machines as the "management node" and run the following command:
docker swarm init --advertise-addr <管理节点IP>
After execution, a token will be returned. This token is used to add other nodes to this in Swarm. At the same time, after executing this command, your local machine becomes the management node of Swarm.
3) Add other machines to Swarm. Execute the following command on other machines:
docker swarm join --token <token> <管理节点IP>:2377
At this time, other machines will be added to Swarm. We can use the following command to view the nodes in Swarm:
docker node ls
Step 2: Build the service and expand the capacity
After setting up a multi-node cluster environment, we can start building the service. A service refers to a group of container instances running in Swarm. They share host, network and storage resources and can automatically scale in a horizontal expansion manner. Here, we take a simple web application as an example to introduce how to build and expand services.
1) Write Dockerfile. First, we need to write a Dockerfile file, specify the application's base image and running commands, etc.
FROM node:latest WORKDIR /app COPY . /app RUN npm install CMD ["npm", "start"]
Among them, we chose node:latest as the base image, added our application files to the /app directory, installed dependencies and started the program.
2) Write docker-compose.yml. docker-compose is a tool for defining and running multi-container Docker applications. Here, we can use docker-compose to define a service called web.
version: '3' services: web: build: . ports: - "8080:8080" environment: - NODE_ENV=production deploy: replicas: 5 resources: limits: cpus: "0.1" memory: 50M restart_policy: condition: on-failure
This docker-compose file specifies our application building method, port mapping, environment variables, number of copies, resource limits, etc. In step three we will use the docker stack deploy command to build and run the service.
3) Build and expand services. After completing the above two steps, we can start building and scaling our service. Please execute the following command:
docker-compose build docker stack deploy --compose-file docker-compose.yml web
This command will deploy our service into Swarm and specify 5 instances. Visit http://
Step Three: Management and Expansion Service
After successfully building and deploying the service, we need to manage and expand it. Service management and expansion in Swarm is very simple, you only need to execute a few commands.
1) Check the service status. We can use the following command to view the status of the service:
docker service ls docker service ps web
This command will display all running services and service instances. At this point, we should see 5 web service instances running.
2) Expansion service. We can use the following command to expand the number of instances of the service:
docker service scale web=8
This command will increase the number of instances of the web service to 8.
3) Update service. In order to update the service, we need to modify the previous docker-compose.yml file and run the docker stack deploy command again. After the modification is completed, execute the following command to update the service:
docker stack deploy --compose-file docker-compose.yml web
Summary
Multi-node cluster technology is a very practical technology used in Docker, which can help us manage and expand our applications more conveniently . In this article, we introduce how to use Docker Swarm to build a multi-node cluster environment, and use a web application as an example to demonstrate how to build, deploy, manage and expand services. I believe that through the introduction of this article, everyone has a deeper understanding of Docker Swarm multi-node cluster technology.
The above is the detailed content of How to use Docker to manage and expand multi-node clusters. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Answer: PHP microservices are deployed with HelmCharts for agile development and containerized with DockerContainer for isolation and scalability. Detailed description: Use HelmCharts to automatically deploy PHP microservices to achieve agile development. Docker images allow for rapid iteration and version control of microservices. The DockerContainer standard isolates microservices, and Kubernetes manages the availability and scalability of the containers. Use Prometheus and Grafana to monitor microservice performance and health, and create alarms and automatic repair mechanisms.

Detailed explanation and installation guide for PiNetwork nodes This article will introduce the PiNetwork ecosystem in detail - Pi nodes, a key role in the PiNetwork ecosystem, and provide complete steps for installation and configuration. After the launch of the PiNetwork blockchain test network, Pi nodes have become an important part of many pioneers actively participating in the testing, preparing for the upcoming main network release. If you don’t know PiNetwork yet, please refer to what is Picoin? What is the price for listing? Pi usage, mining and security analysis. What is PiNetwork? The PiNetwork project started in 2019 and owns its exclusive cryptocurrency Pi Coin. The project aims to create a one that everyone can participate

There are many ways to install DeepSeek, including: compile from source (for experienced developers) using precompiled packages (for Windows users) using Docker containers (for most convenient, no need to worry about compatibility) No matter which method you choose, Please read the official documents carefully and prepare them fully to avoid unnecessary trouble.

Answer: Use PHPCI/CD to achieve rapid iteration, including setting up CI/CD pipelines, automated testing and deployment processes. Set up a CI/CD pipeline: Select a CI/CD tool, configure the code repository, and define the build pipeline. Automated testing: Write unit and integration tests and use testing frameworks to simplify testing. Practical case: Using TravisCI: install TravisCI, define the pipeline, enable the pipeline, and view the results. Implement continuous delivery: select deployment tools, define deployment pipelines, and automate deployment. Benefits: Improve development efficiency, reduce errors, and shorten delivery time.

Deploy Java EE applications using Docker containers: Create a Dockerfile to define the image, build the image, run the container and map the port, and then access the application in the browser. Sample JavaEE application: REST API interacts with database, accessible on localhost after deployment via Docker.

Microservice architecture uses PHP frameworks (such as Symfony and Laravel) to implement microservices and follows RESTful principles and standard data formats to design APIs. Microservices communicate via message queues, HTTP requests, or gRPC, and use tools such as Prometheus and ELKStack for monitoring and troubleshooting.

1. First, after opening the interface, click the extension icon button on the left 2. Then, find the search bar location in the opened extension page 3. Then, enter the word Docker with the mouse to find the extension plug-in 4. Finally, select the target plug-in and click the right Just click the install button in the lower corner

PHP microservice containerized monitoring and log management monitoring: Use Prometheus and Grafana to monitor resource usage, number of requests, and latency. Log management: Use ELKStack (ElasticSearch, Logstash, Kibana) to collect, parse and visualize logs. Deploy the Filebeat agent to send logs to ElasticSearch.
