So you have written your React Application and you are ready to deploy it?
Although there are already existing solutions like Netlify, Vercel, to help you deploy your application easily and quickly, it's always good for a developer to know how to deploy an application on a private server.
Today, we'll learn how to deploy a React App on AWS Lightsail. This can also be applied to other VPS providers.
Table of content
- Setup
- Prepare the React application for deployment
- Environment variables
- Testing
- Docker Configuration
- Github Actions (testing)
- Preparing the server
- Github Actions (Deployment)
1 - Setup
For this project, we'll be using an already configured React application. It's a project made for this article about FullStack React & React Authentication: React REST, TypeScript, Axios, Redux & React Router.
You can directly clone the repo here.
Once it's done, make sure to install the dependencies.
cd django-react-auth-app
yarn install
2 - Prepare application for deployment
Here, we'll configure the application to use env variables but also configure Docker as well.
Env variables
It's important to keep sensitive bits of code like API keys, passwords, and secret keys away from prying eyes.
The best way to do it? Use environment variables. Here's how to do it in our application.
Create two files :
- a
.env
file which will contain all environment variables - and a
env.example
file which will contain the same content as.env
.
Actually, the .env
file is ignored by git. The env.example
file here represents a skeleton we can use to create our .env
file in another machine.
It'll be visible, so make sure to not include sensitive information.
# ./.env
REACT_APP_API_URL=YOUR_BACKEND_HOST
Now, let's copy the content and paste it in .env.example
, but make sure to delete the values.
./env.example
REACT_APP_API_URL=
Testing
Testing in an application is the first assurance of maintainability and reliability of our React server.
We'll be implementing testing to make sure everything is green before pushing for deployment.
To write tests here, we'll be using the react testing library.
We'll basically test the values in the inputs of your Login
component.
// src/pages/Login.test.tsx
import React from "react";
import '@testing-library/jest-dom'
import {fireEvent, render, screen} from "@testing-library/react";
import Login from "./Login";
import store from '../store'
import {Provider} from "react-redux";
const renderLogin = () => {
render(
<Provider store={store}>
<Login/>
</Provider>
)
}
test('Login Test', () => {
renderLogin();
expect(screen.getByTestId('Login')).toBeInTheDocument();
const emailInput = screen.getByTestId('email-input');
expect(emailInput).toBeInTheDocument();
fireEvent.change(emailInput, {target: {value: 'username@gmail.com'}})
expect(emailInput).toHaveValue('username@gmail.com');
const passwordInput = screen.getByTestId('password-input');
expect(passwordInput).toBeInTheDocument();
fireEvent.change(passwordInput, {target: {value: '12345678'}})
expect(passwordInput).toHaveValue('12345678');
})
Now run the tests.
yarn test
Now let's move to the Docker configuration.
Dockerizing our app
Docker is an open platform for developing, shipping, and running applications inside containers.
Why use Docker?
It helps you separate your applications from your infrastructure and helps in delivering code faster.
If it's your first time working with Docker, I highly recommend you go through a quick tutorial and read some documentation about it.
Here are some great resources that helped me:
Dockerfile
The Dockerfile
represents a text document containing all the commands that could call on the command line to create an image.
Add a Dockerfile.dev
to the project root. It'll represent the development environment.
# Dockerfile.dev
FROM node:14-alpine
WORKDIR /app
COPY package.json ./
COPY yarn.lock ./
RUN yarn install --frozen-lockfile
COPY . .
Here, we started with an Alpine-based Docker Image for JavaScript. It's a lightweight Linux distribution designed for security and resource efficiency.
Also, let's add a .dockerignore
file.
node_modules
npm-debug.log
Dockerfile.dev
Dockerfile.prod
.dockerignore
yarn-error.log
Docker Compose
Docker Compose is a great tool (<3). You can use it to define and run multi-container Docker applications.
What do we need? Well, just a YAML file containing all the configuration of our application's services.
Then, with the docker-compose
command, we can create and start all those services.
Here, the docker-compose.dev.yml
file will contain three services that make our app: nginx and web.
This file will be used for development.
As you guessed :
version: "3"
services:
nginx:
container_name: core_web
restart: on-failure
image: nginx:stable
volumes:
- ./nginx/nginx.dev.conf:/etc/nginx/conf.d/default.conf
ports:
- "80:80"
depends_on:
- web
web:
container_name: react_app
restart: on-failure
build:
context: .
dockerfile: Dockerfile.dev
volumes:
- ./src:/app/src
ports:
- "3000:3000"
command: >
sh -c "yarn start"
env_file:
- .env
-
nginx
: NGINX is open-source software for web serving, reverse proxying, caching, load balancing, media streaming, and more. -
web
: We'll run and serve the endpoint of the React application.
And the next step, let's create the NGINX configuration file to proxy requests to our backend application.
In the root directory, create a nginx
directory and create a nginx.dev.conf
file.
upstream webapp {
server react_app:3000;
}
server {
listen 80;
server_name localhost;
location / {
proxy_pass http://webapp;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Host $host;
proxy_redirect off;
}
}
Docker Build
The setup is completed. Let's build our containers and test if everything works locally.
docker-compose -f docker-compose.dev.yml up -d --build
Once it's done, hit localhost/
to see if your application is working.
You should get a similar page.
Great! Our React application is successfully running inside a container.
Let's move to the Github Actions to run tests every time there is a push on the main
branch.
Github Actions (Testing)
GitHub actions are one of the greatest features of Github. it helps you build, test or deploy your application and more.
Here, we'll create a YAML file named main.yml
to run some React tests.
In the root project, create a directory named .github
. Inside that directory, create another directory named workflows
and create the main.yml
file.
name: React Testing and Deploying
on:
push:
branches: [ main ]
pull_request:
branches: [ main ]
jobs:
test:
name: Tests
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v2
- name: Installing dependencies
run: yarn install
- name: Running Test
run: yarn test
Basically, what we are doing here is setting rules for the GitHub action workflow, installing dependencies, and running the tests.
- Make sure that this workflow is triggered only when there is a push or pull_request on the main branch
- Choose
ubuntu-latest
as the OS and precise the Python version on which this workflow will run. - After that as we install the javascript dependencies and just run the tests.
If you push the code in your repository, you'll see something similar when you go to your repository page.
After a moment, the yellow colors will turn to green, meaning that the checks have successfully completed.
Setting up the AWS server
I'll be using a Lightsail server here. Note that these configurations can work with any VPS provider.
If you want to set up a Lightsail instance, refer to the AWS documentation.
Personally, I am my VPS is running on Ubuntu 20.04.3 LTS.
Also, you'll need Docker and docker-compose installed on the machine.
After that, if you want to link your server to a domain name, make sure to add it to your DNS configuration panel.
Once you are done, we can start working on the deployment process.
Docker build script
To automate things here, we'll write a bash script to pull changes from the repo and also build the docker image and run the containers.
We'll also be checking if there are any coming changes before pulling and re-building the containers again.
#!/usr/bin/env bash
TARGET='main'
cd ~/app || exit
ACTION='\033[1;90m'
NOCOLOR='\033[0m'
# Checking if we are on the main branch
echo -e ${ACTION}Checking Git repo
BRANCH=$(git rev-parse --abbrev-ref HEAD)
if [ "$BRANCH" != ${TARGET} ]
then
exit 0
fi
# Checking if the repository is up to date.
git fetch
HEADHASH=$(git rev-parse HEAD)
UPSTREAMHASH=$(git rev-parse ${TARGET}@{upstream})
if [ "$HEADHASH" == "$UPSTREAMHASH" ]
then
echo -e "${FINISHED}"Current branch is up to date with origin/${TARGET}."${NOCOLOR}"
exit 0
fi
# If that's not the case, we pull the latest changes and we build a new image
git pull origin main;
# Docker
docker-compose -f docker-compose.prod.yml up -d --build
exit 0;
Good! Login on your server using SSH. We'll be creating some new directories: one for the repo and another one for our scripts.
mkdir app .scripts
cd .scripts
vim docker-deploy.sh
And just paste the content of the precedent script and modify it if necessary.
cd ~/app
git clone <your_repository> .
Don't forget to add the dot .
. Using this, it will simply clone the content of the repository in the current directory.
Great! Now we need to write the docker-compose.prod.yml
file which will be run on this server.
We'll be adding an SSL certificate, by the way, so we need to create another nginx.conf
file.
Here's the docker-compose.prod.yml
file.
version: "3.7"
services:
nginx:
container_name: core_web
restart: on-failure
image: jonasal/nginx-certbot:latest
env_file:
- .env.nginx
volumes:
- nginx_secrets:/etc/letsencrypt
- ./nginx/user_conf.d:/etc/nginx/user_conf.d
ports:
- "80:80"
- "443:443"
depends_on:
- web
web:
container_name: react_app
restart: on-failure
build:
context: .
dockerfile: Dockerfile.prod
volumes:
- ./src:/app/src
ports:
- "5000:5000"
command: >
sh -c "yarn build && serve -s build"
env_file:
- .env
volumes:
nginx_secrets:
If you noticed, we've changed the nginx
service. Now, we are using the docker-nginx-certbot
image. It'll automatically create and renew SSL certificates using the Let's Encrypt free CA (Certificate authority) and its client certbot
.
And our React server is running the build app. Using yarn build
, it'll create a production optimized app which we'll serve.
And finally, we'll add the Dockerfile.prod
file
FROM node:14-alpine AS builder
WORKDIR /app
COPY package.json ./
COPY yarn.lock ./
RUN yarn install --frozen-lockfile
COPY . .
Create a new directory user_conf.d
inside the nginx
directory and create a new file nginx.conf
.
upstream webapp {
server react_app:5000;
}
server {
listen 443 default_server reuseport;
listen [::]:443 ssl default_server reuseport;
server_name dockerawsreact.koladev.xyz;
server_tokens off;
client_max_body_size 20M;
ssl_certificate /etc/letsencrypt/live/dockerawsreact.koladev.xyz/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/dockerawsreact.koladev.xyz/privkey.pem;
ssl_trusted_certificate /etc/letsencrypt/live/dockerawsreact.koladev.xyz/chain.pem;
ssl_dhparam /etc/letsencrypt/dhparams/dhparam.pem;
location / {
proxy_pass http://webapp;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Host $host;
proxy_redirect off;
}
}
Make sure to replace dockerawsreact.koladev.xyz
with your own domain name...
And no troubles! I'll explain what I've done.
server {
listen 443 default_server reuseport;
listen [::]:443 ssl default_server reuseport;
server_name dockerawsreact.koladev.xyz;
server_tokens off;
client_max_body_size 20M;
So as usual, we are listening on port 443
for HTTPS.
We've added a server_name
which is the domain name. We set the server_tokens
to off to not show the server version on error pages.
And the last thing, we set the request size to a max of 20MB. It means that requests larger than 20MB will result in errors with HTTP 413 (Request Entity Too Large).
Now, let's write the job for deployment in the Github Action.
...
deploy:
name: Deploying
needs: [test]
runs-on: ubuntu-20.04
steps:
- name: SSH & Deploy
uses: appleboy/ssh-action@master
with:
host: ${{ secrets.SSH_AWS_SERVER_IP }}
username: ${{ secrets.SSH_SERVER_USER }}
key: ${{ secrets.SSH_PRIVATE_KEY }}
passphrase: ${{ secrets.SSH_PASSPHRASE }}
script: |
cd ~/.scripts
./docker-deploy.sh
Notice the usage of Github Secrets here. It allows the storage of sensitive information in your repository. Check this documentation for more information.
We also using here a GitHub action that requires the name of the host, the username, the key, and the passphrase. You can also use this action with a password but it'll require some configurations.
Feel free to check the documentation of this action for more detail.
Also, notice the needs: [build]
line. It helps us make sure that the precedent job is successful before deploying the new version of the app.
Once it's done, log via ssh in your server and create a .env file.
cd app/
vim .env # or nano or whatever
And finally, create a .env.nginx
file. This will contain the required configurations to create an SSL certificate.
# Required
CERTBOT_EMAIL=
# Optional (Defaults)
STAGING=1
DHPARAM_SIZE=2048
RSA_KEY_SIZE=2048
ELLIPTIC_CURVE=secp256r1
USE_ECDSA=0
RENEWAL_INTERVAL=8d
Add your email address. Notice here that STAGING
is set to 1. We will test the configuration first with Let’s encrypt staging environment! It is important to not set staging=0 before you are 100% sure that your configuration is correct.
This is because there is a limited number of retries to issue the certificate and you don’t want to wait till they are reset (once a week).
Declare the environment variables your project will need.
And we're nearly done. :)
Make a push to the repository and just wait for the actions to pass successfully.
And voilà. We're done with the configuration.
if your browser shows an error like this, the configuration is clean! We can issue a production-ready certificate now.
On your server, stop the containers.
docker-compose down -v
edit your .env.nginx
file and set STAGING=0
.
Then, start the containers again.
sudo docker-compose up -d --build
And we're done. :)
Conclusion
In this article, we've learned how to use Github Actions to deploy a dockerized React application on an AWS Lightsail server. Note that you can use these steps on any VPS.
And as every article can be made better so your suggestion or questions are welcome in the comment section. 😉
Check the code of this tutorial here.