Deployment strategy of containers and microservices under Nginx Proxy Manager

The deployment strategy of containers and microservices under Nginx Proxy Manager requires specific code examples

Abstract:
With the popularity of microservice architecture, containerization Technology has become an important part of modern software development. In the microservice architecture, Nginx Proxy Manager plays a very important role in managing and proxying the traffic of microservices. This article will introduce how to use Nginx Proxy Manager to deploy and manage containerized microservices, and provide relevant code examples.

1. Introduction
   Microservice architecture splits a large application into multiple independent small services, each service can be deployed and maintained independently. Containerization technology (such as Docker) provides a convenient, fast, and portable deployment method, making the microservice architecture more flexible and scalable.
2. Introduction to Nginx Proxy Manager
   Nginx Proxy Manager is a reverse proxy management tool based on Nginx. It provides a user-friendly web interface that can easily configure and manage multiple Nginx reverse proxy servers. . In a microservice architecture, Nginx Proxy Manager can be used to proxy different microservices and manage routing and load balancing between them.
3. Deploy microservices using Nginx Proxy Manager
   The following is a simple example that demonstrates how to use Nginx Proxy Manager to deploy two containerized microservices: a front-end service and a back-end service.

First, we need to create two Docker containers, one for running the front-end service and one for running the back-end service. Assume that we have installed Docker on the host machine.

3.1 Front-end service container
Create a directory named "frontend" and create a file named "Dockerfile" in this directory. In the Dockerfile, we define the environment and dependencies required by the front-end service, and copy the front-end code into the container.

The sample Dockerfile content is as follows:

FROM nginx:1.17.9-alpine COPY ./frontend /usr/share/nginx/html

Then, run the following command in the command line to build and run the front-end service container:

docker build -t frontend:latest ./frontend docker run -d --name frontend -p 8080:80 frontend:latest

3.2 Back-end service container
Create a directory called "backend" and create a file named "Dockerfile" in that directory. In the Dockerfile, we define the environment and dependencies required by the backend service, and run the startup command of the backend service.

The sample Dockerfile content is as follows:

FROM node:10-alpine WORKDIR /app COPY ./backend/package*.json ./ RUN npm install COPY ./backend . EXPOSE 3000 CMD [ "node", "index.js" ]

Then, run the following command on the command line to build and run the backend service container:

docker build -t backend:latest ./backend docker run -d --name backend -p 3000:3000 backend:latest

4. Configure Nginx Proxy Manager
   Open the web interface of Nginx Proxy Manager in your browser, log in and select the proxy server you want to configure. Create two new host entries, set the proxy target of the front-end service to the IP address and port of the containerized front-end service (for example: http://containerIPaddress:8080), and set the proxy target of the back-end service to containerized The IP address and port of the backend service (for example: http://container IP address:3000).
5. Testing Microservice Deployment
   Now, visit the proxy server address of Nginx Proxy Manager in your browser and you will be able to access the front-end and back-end services through the proxy. For example, the front-end service can be accessed through http://proxy server address/frontend, and the back-end service can be accessed through http://proxy server address/backend.
6. Conclusion
   This article introduces how to use Nginx Proxy Manager to deploy and manage containerized microservices, and provides relevant code examples. By using Nginx Proxy Manager, developers can easily configure and manage routing and load balancing between microservices, thereby improving application scalability and maintainability.

However, it should be noted that the above example is for demonstration purposes only, and the actual situation may be more complex. During the actual deployment process, you may need to further customize and adjust the configuration to meet your specific needs.

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