Integration of Nginx Proxy Manager and container orchestration tools: improving development efficiency

Integration of Nginx Proxy Manager and container orchestration tools: improving development efficiency

Introduction:
In the field of modern software development, containerization technology has become a mainstream trend. Containerization technology makes software deployment and management simpler and more efficient, but it also brings some new challenges, such as container network communication and load balancing. In order to solve these problems, Nginx Proxy Manager has become a good choice. This article will introduce the integration of Nginx Proxy Manager and container orchestration tools, and provide specific code examples to help developers improve development efficiency.

1. Introduction to Nginx Proxy Manager
Nginx Proxy Manager is an open source project based on Nginx. It provides a simple and powerful interface for managing multiple domain names and reverse proxy rules. Through Nginx Proxy Manager, we can easily configure and manage reverse proxy rules for multiple domain names, and implement functions such as load balancing and SSL termination.

2. Introduction to container orchestration tools
Container orchestration tools are tools used to automate container deployment, management and expansion. Currently, the more commonly used container orchestration tools include Docker Swarm and Kubernetes. They can help developers easily deploy and manage large-scale container clusters, and provide various convenient functions, such as service discovery, load balancing, and automatic expansion and contraction.

3. Integration of Nginx Proxy Manager and Docker Swarm

1. Install Docker Swarm
   First, we need to install Docker Swarm. Please refer to Docker official documentation for specific installation steps.
2. Configuring Nginx Proxy Manager service
   In Docker Swarm, we can define our service by writing a docker-compose.yml file. Here is an example docker-compose.yml file:

version: '3'
services:
nginx-proxy-manager:

image: 'jc21/nginx-proxy-manager:latest'
ports:
  - '80:80'
  - '81:81'
  - '443:443'
  - '3000:3000'
volumes:
  - '/srv/docker/nginx-proxy-manager:/data'
environment:
  - DB_MYSQL_HOST=your_mysql_host
  - DB_MYSQL_PORT=your_mysql_port
  - DB_MYSQL_USER=your_mysql_user
  - DB_MYSQL_PASSWORD=your_mysql_password
  - DB_MYSQL_NAME=your_mysql_database
deploy:
  replicas: 1
  restart_policy:
    condition: any

In this example , we used the jc21/nginx-proxy-manager image, which contains the relevant configuration of Nginx Proxy Manager. We map port 80 to port 80 of the host machine to access Nginx Proxy Manager through the web interface. We also map port 443 to the host's port 443 to support HTTPS.

At the same time, we map the /data directory to the host's /srv/docker/nginx-proxy-manager directory to persistently store Nginx Proxy Manager related data.

In the environment part, we need to configure the relevant information of the MySQL database so that Nginx Proxy Manager can connect and manage the database.

3. Cluster deployment
   Using Docker Swarm, we can easily deploy services into a cluster. The specific steps are as follows:

• Initialize Swarm cluster: execute the docker swarm init command to initialize a Swarm cluster.
• Deploy service: In the Swarm cluster, execute the docker stack deploy command to deploy the service, for example, docker stack deploy -c docker-compose.yml nginx-proxy-manager.
• Check service status: Execute the docker service ls command to check the status of the service.
• Expansion and contraction: Execute the docker service scale command to expand and contract the service, for example, docker service scale nginx-proxy-manager_nginx-proxy-manager=3.

4. Integration of Nginx Proxy Manager and Kubernetes

1. Installing Kubernetes
   First, we need to install Kubernetes. For specific installation methods, please refer to the Kubernetes official documentation.
2. Configuring Nginx Proxy Manager service
   In Kubernetes, we use a YAML file to define our service. The following is an example YAML file for the Nginx Proxy Manager service:

apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-proxy-manager
spec:
replicas: 1
selector:

matchLabels:
  app: nginx-proxy-manager

template:

metadata:
  labels:
    app: nginx-proxy-manager
spec:
  containers:
  - name: nginx-proxy-manager
    image: jc21/nginx-proxy-manager:latest
    ports:
    - containerPort: 80
    - containerPort: 81
    - containerPort: 443
    - containerPort: 3000
    volumeMounts:
    - name: data
      mountPath: /data
    env:
    - name: DB_MYSQL_HOST
      value: your_mysql_host
    - name: DB_MYSQL_PORT
      value: your_mysql_port
    - name: DB_MYSQL_USER
      value: your_mysql_user
    - name: DB_MYSQL_PASSWORD
      value: your_mysql_password
    - name: DB_MYSQL_NAME
      value: your_mysql_database
  volumes:
  - name: data
    hostPath:
      path: /srv/docker/nginx-proxy-manager

In this example, we create a Deployment named nginx-proxy-manager, using jc21/nginx-proxy-manager image, and configure related environment variables and volumes. The specific configuration is similar to Docker Swarm.

3. Deploy services
   Using the kubectl command, we can deploy services to the Kubernetes cluster. The specific steps are as follows:

• Create a service: Execute the kubectl apply -f nginx-proxy-manager.yaml command to create a service.
• Check the service status: execute the kubectl get deployments command to check the status of the Deployment.
• Expansion and contraction: Execute the kubectl scale deployment nginx-proxy-manager --replicas=3 command to expand and contract the Deployment.

5. Summary
By integrating Nginx Proxy Manager with container orchestration tools, we can easily manage and configure reverse proxy rules, and implement functions such as load balancing and SSL termination. This article provides specific code examples to help developers improve development efficiency when using Nginx Proxy Manager. At the same time, we also introduced the integration methods with Docker Swarm and Kubernetes, two commonly used container orchestration tools. I hope this article will be helpful to developers in practice.

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