How to run multiple docker containers simultaneously on the host machine

PHPz
Release: 2023-04-17 17:18:15
Original
1875 people have browsed it

Docker is a popular containerization platform that saves time in development and deployment. In most cases, we need to run multiple containers to handle different applications or services.

In this article, we will learn how to run multiple docker containers on the host machine at the same time.

  1. Container orchestration using Docker Compose

Docker Compose is a tool that can use YAML files to define and run multiple docker containers and coordinate their interaction with each other effect. You can use the docker-compose command to convert a definition file into a set of containers. You can specify the container to run when executing the command, or using the docker-compose.yml file. Here are some steps to use Docker Compose:

1.1 Install Docker Compose

To use Docker Compose on the host machine, you must first install it. You can download the latest version of Docker Compose on the official website.

1.2 Write the docker-compose.yml file

Write the Docker-compose.yml file to define the container. For example, in the following file, we define two services – web and redis:

version: '3.0'
services:
  web:
    build: .
    ports:
      - "5000:5000"
      - "5001:5001"
    depends_on:
      - redis
  redis:
    image: "redis:alpine"
Copy after login

1.3 Run your container

Use docker-compose up command to create and run in docker-compose Containers defined in .yml files. In the following command, we will specify the name of the service to be created:

docker-compose up [options] [SERVICE...]
Copy after login
  1. Container orchestration using Docker Swarm

Docker Swarm is a native Docker tool, It can automatically manage and orchestrate a set of docker containers and provide high availability, automatic expansion and other functions.

The following are some steps for Docker Swarm:

2.1 Initialize Docker Swarm

Use the docker swarm init command to initialize Docker Swarm on the host:

docker swarm init --advertise-addr <manager-ip>
Copy after login

2.2 Add workers

Use the docker swarm join command to add workers to the Swarm cluster:

docker swarm join --token <worker-token> <manager-ip>:<port>
Copy after login

2.3 Create a service

Use the docker service create command to deploy the service to the Swarm cluster Medium:

docker service create --name my-web-service my-web-image
Copy after login
  1. Using Kubernetes for container orchestration

Kubernetes is an open source container orchestration and management tool that can automatically manage and orchestrate docker containers and provide automatic expansion. Load balancing and other functions. Kubernetes has a powerful API that can be used to create and manage applications, including containers.

Here are some steps to use Kubernetes on the host:

3.1 Install Kubernetes

To use Kubernetes on the host, you must first install it. You can install Kubernetes locally using Minikube.

3.2 Create pod

In Kubernetes, Pod is the smallest deployable unit, usually containing one or more containers. Use the kubectl create command to create a Pod:

kubectl create -f my-pod.yaml
Copy after login

3.3 Create a deployment

In Kubernetes, a deployment is a controller that controls the state of an application. Create a deployment using the kubectl create command:

kubectl create deployment my-deployment --image=my-image
Copy after login
  1. Summary

In this article, we learned how to run multiple docker containers simultaneously on a host. You can use Docker Compose, Docker Swarm or Kubernetes for container orchestration. No matter which container orchestration technology you choose to run multiple containers, you can greatly simplify the development and deployment process and save time and effort.

The above is the detailed content of How to run multiple docker containers simultaneously on the host machine. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template