In today’s software development landscape, speed and reliability are paramount. Continuous Integration and Continuous Deployment (CI/CD) pipelines offer a way to automate and streamline your development and deployment processes. In this guide, we’ll show you how to set up a complete CI/CD pipeline for a React YouTube app clone using GitLab.
Picture this: you’re creating a YouTube-like platform where users can explore videos and channels. It’s a fantastic project, but managing the development workflow can be complex. That’s where GitLab CI/CD comes in, offering a straightforward and powerful solution to automate your work.
This step-by-step tutorial is for developers and tech enthusiasts looking to make their projects more efficient with CI/CD. By the end, you’ll know how to set up a robust CI/CD pipeline, including automated testing, code quality checks, and secure containerization. Let’s embark on this journey together and see how CI/CD can transform your development experience while building a React YouTube app clone.
Ready? Let’s simplify CI/CD and make your development life easier!
YouTube video:
Step 1: Create an API key for Youtube.
Step 2: Create a Repository and push it to GitLab.
Step 3: Launch an Ec2 instance and run Sonarqube on it.
Step 4A: Create a .gitlab-ci.yml
File.
Step 4B: Add the required variables for the project.
Step 5: Install Gitlab Runner on Ec2.
Step 6: Run the Application on the Docker container.
Step 7: Access the Application on Browser.
Step 1: Create an API key from Rapid API
Open a new tab in the browser and search for rapidapi.com
It will automatically provide your mail and select a mail to create an account
Account is created
Now in the search bar search for YouTube and select YouTube v3
Copy API and save it for further use at the docker stage.
docker build — build-arg REACT_APP_RAPID_API_KEY=<API-KEY> -t ${imageName} .
Second way:
Open a new tab in the browser and search for rapidapi.com
You will see the page like this and click on signUp
Now click on Sign Up with Google
Select your mail here
It will automatically create your account now
Now in the search bar search for YouTube and select YouTube v3
Copy API and save it for further use at the docker stage.
docker build — build-arg REACT_APP_RAPID_API_KEY=<API-KEY> -t ${imageName} .
Step 2: Create a Repository and push it to GitLab
Go to GitLab.com and login to your account
Click on New Project
Click on Create Blank Project
Provide a name for the Project
Keep Visibility to the public
Uncheck the Readme and create the Project.
Use the below commands to push code to GitLab
Files pushed to GitLab
Step 3: Launch an Ec2 instance and run Sonarqube on it
Log into AWS Console: Sign in to your AWS account.
Launch an Instance:
Choose “EC2” from services. Click “Launch Instance.”
Choose an AMI: Select an Ubuntu image.
Choose an Instance Type: Pick “t2.medium.”
Key Pair: Choose an existing key pair or create a new one.
Configure Security Group:
Create a new security group. Add rules for HTTP, and HTTPS, and open all ports for learning purposes. Add Storage: Allocate at least 10 GB of storage.
Launch Instance: Review and launch the instance.
Access Your Instance: Use SSH to connect to your instance with the private key.
Keep in mind, that opening all ports is not recommended for production environments; it’s just for educational purposes.
Connect to Your EC2 Instance and install docker:
Run the below commands to install the docker
sudo apt-get update
sudo apt-get install docker.io -y
sudo usermod -aG docker $USER #my case is ubuntu
newgrp docker
sudo chmod 777 /var/run/docker.sock
After the docker installation, we will create a Sonarqube container (Remember to add 9000 ports in the security group).
Run this command on your EC2 instance to create a SonarQube container:
docker run -d --name sonar -p 9000:9000 sonarqube:lts-community
Now copy the IP address of the ec2 instance
Enter username and password, click on login and change password
username admin
password admin
Update New password, This is Sonar Dashboard.
Step 4A: Create a .gitlab-ci.yml
File.
Now go to GitLab click on ‘+’ and click on Newfile
File name .gitlab-ci.yml
Content
stages:
- npm
Install dependecy:
stage: npm
image:
name: node:16
script:
- npm install
Commit the changes and it will automatically start the build
Now click on Build and Pipelines
Now click on Running.
Click on Install dependency
You will build output
Now add the Sonarqube stage to the pipeline
Go to the Sonarqube dashboard and click on Manually.
Provide the name of the Project and click on Setup
Select the CI tool as GitLab CI
Select Other because we are using the JS App
It will provide code and we need to create a file inside our repo
Go to Gitlab and click on + and Newfile
Filename is sonar-project.properties
Paste the content that you got from Sonarqube
The file looks like this and click on commit changes
Go to Sonarqube and click on continue
Now it will provide Variables to add to our GitLab
Step 4B: Add the required variables for the project.
Variables Generated
Now go to GitLab
Click on settings and CI/CD
Click on Expand in variables
Click on Add variable
Now go back to Sonarqube and copy the Key
Click on Generate a token
Again Click on Generate
Copy the token
Now come back to GitLab and add them like the below image and click on add variable.
Sonar token is added
Now go to the Sonarqube Dashboard again
Let’s add another variable, copy them
Now go to GitLab and click on Add variable
Add the copied values like the below image
Two variables were added.
Now go back to the Sonarqube Dashboard
Click on continue
It will provide and CI configuration file copy it and use it inside our .gitlab-ci.yml
file
Now go back to GitLab and edit the .gitlab-ci.yml
file
Full file (update with your content)
stages:
- npm
- sonar
Install dependecy:
stage: npm
image:
name: node:16
script:
- npm install
sonarqube-check:
stage: sonar
image:
name: sonarsource/sonar-scanner-cli:latest
entrypoint: [""]
variables:
SONAR_USER_HOME: "${CI_PROJECT_DIR}/.sonar" # Defines the location of the analysis task cache
GIT_DEPTH: "0" # Tells git to fetch all the branches of the project, required by the analysis task
cache:
key: "${CI_JOB_NAME}"
paths:
- .sonar/cache
script:
- sonar-scanner
allow_failure: true
only:
- main
Commit changes and it will automatically start the build.
Click on Build → Pipelines
Click on Running
Now click on Sonarqube-check
Build output
Now add the next stage of the Trivy file scan
Update the .gitlab-ci.yml
file
stages:
- npm
- sonar
- trivy file scan
Install dependecy:
stage: npm
image:
name: node:16
script:
- npm install
sonarqube-check:
stage: sonar
image:
name: sonarsource/sonar-scanner-cli:latest
entrypoint: [""]
variables:
SONAR_USER_HOME: "${CI_PROJECT_DIR}/.sonar" # Defines the location of the analysis task cache
GIT_DEPTH: "0" # Tells git to fetch all the branches of the project, required by the analysis task
cache:
key: "${CI_JOB_NAME}"
paths:
- .sonar/cache
script:
- sonar-scanner
allow_failure: true
only:
- main
Trivy file scan:
stage: trivy file scan
image:
name: aquasec/trivy:latest
entrypoint: [""]
script:
- trivy fs .
Commit changes and go to pipeline stages
Click on the Trivy file scan
Build output
Add the Docker build and push stage
Before that Add docker credentials to GitLab Variables as secrets.
Go to the docker hub and create a Personal Access token
Click on your profile name and Account Settings
Now click on Security → New Access Token
Provide a name → Generate
Now copy the token and keep it safe
Now go back to Gitlab
Click on settings and CI/CD
Click on Expand in variables
Click on Add variable
Use your DockerHub username in value and Add variable
Key DOCKER_USERNAME
Click on Add variable again
Key DOCKER_PASSWORD
For value use the Generated Personal Access token and add a variable.
Variables added.
Now add the below stage to the Configuration .gitlab-ci.yml
file
Added Docker and Trivy image scan stages
stages:
- npm
- sonar
- trivy file scan
- docker
- trivy image scan
Install dependecy:
stage: npm
image:
name: node:16
script:
- npm install
sonarqube-check:
stage: sonar
image:
name: sonarsource/sonar-scanner-cli:latest
entrypoint: [""]
variables:
SONAR_USER_HOME: "${CI_PROJECT_DIR}/.sonar" # Defines the location of the analysis task cache
GIT_DEPTH: "0" # Tells git to fetch all the branches of the project, required by the analysis task
cache:
key: "${CI_JOB_NAME}"
paths:
- .sonar/cache
script:
- sonar-scanner
allow_failure: true
only:
- main
Trivy file scan:
stage: trivy file scan
image:
name: aquasec/trivy:latest
entrypoint: [""]
script:
- trivy fs .
Docker build and push:
stage: docker
image:
name: docker:latest
services:
- docker:dind
script:
- docker build --build-arg REACT_APP_RAPID_API_KEY=f0ead79813mshb0aa7ddf114a7dap1adb3djsn483b017de1a9 -t youtubev1 .
- docker tag youtubev1 sevenajay/youtubev1:latest
- docker login -u $DOCKER_USERNAME -p $DOCKER_PASSWORD
- docker push sevenajay/youtubev1:latest
Scan image:
stage: trivy image scan
image:
name: aquasec/trivy:latest
entrypoint: [""]
script:
- trivy image sevenajay/youtubev1:latest
Added stages
Commit changes and it will automatically start building.
Go to Pipelines view
Now click on Docker build and push
Build view
Go to Dockerhub and see the image
Now come back to GitLab and click on Trivy image scan
Output raw
Step 5: Install Gitlab Runner on Ec2
Go to GitLab and Click on Settings and CI/CD
Click on Expand at Runners
Click on Three dots and then click on Show Runner installation
Click on Linux and amd64 and copy the commands
Now come back to Putty or Mobaxtreme
Create a new file
sudo vi gitlab-runner-installation
Paste the below commands into it
# Download the binary for your system
sudo curl -L --output /usr/local/bin/gitlab-runner https://gitlab-runner-downloads.s3.amazonaws.com/latest/binaries/gitlab-runner-linux-amd64
# Give it permission to execute
sudo chmod +x /usr/local/bin/gitlab-runner
# Create a GitLab Runner user
sudo useradd --comment 'GitLab Runner' --create-home gitlab-runner --shell /bin/bash
# Install and run as a service
sudo gitlab-runner install --user=gitlab-runner --working-directory=/home/gitlab-runner
sudo gitlab-runner start
Provide executable permissions and run the script
sudo chmod +x <file-name>
./<file-name>
Installation completed
Start the GitLab runner
sudo gitlab-runner start
Now run the below command or your command to register the runner
Update the token is enough
sudo gitlab-runner register --url https://gitlab.com/ --registration-token <token>
Provide the details for registering the runner
Provide Enter for GitLab.com
For token we already added with token, so click on Enter again
Description as your wish
Tags also and you can use multiple tags by providing a comma after each tag
Maintenance note is just optional
For executors use Shell
Runner added successfully.
Start the GitLab runner
sudo gitlab-runner start
Run the GitLab runner
sudo gitlab-runner run
Go to GitLab and refresh the page once or click on Enable for this project
Now the runner is active and waiting for jobs
Click on the Pencil mark to edit
Click on the Check box to indicate whether this runner can pick jobs without tags.
Click on save changes.
Step 6: Run the Application on the Docker container
Now edit the .gitlab-ci.yml
file for the deploy stage
The complete file
stages:
- npm
- sonar
- trivy file scan
- docker
- trivy image scan
- run container
Install dependecy:
stage: npm
image:
name: node:16
script:
- npm install
sonarqube-check:
stage: sonar
image:
name: sonarsource/sonar-scanner-cli:latest
entrypoint: [""]
variables:
SONAR_USER_HOME: "${CI_PROJECT_DIR}/.sonar" # Defines the location of the analysis task cache
GIT_DEPTH: "0" # Tells git to fetch all the branches of the project, required by the analysis task
cache:
key: "${CI_JOB_NAME}"
paths:
- .sonar/cache
script:
- sonar-scanner
allow_failure: true
only:
- main
Trivy file scan:
stage: trivy file scan
image:
name: aquasec/trivy:latest
entrypoint: [""]
script:
- trivy fs .
Docker build and push:
stage: docker
image:
name: docker:latest
services:
- docker:dind
script:
- docker build --build-arg REACT_APP_RAPID_API_KEY=f0ead79813mshb0aa7ddf114a7dap1adb3djsn483b017de1a9 -t youtubev1 .
- docker tag youtubev1 sevenajay/youtubev1:latest
- docker login -u $DOCKER_USERNAME -p $DOCKER_PASSWORD
- docker push sevenajay/youtubev1:latest
Scan image:
stage: trivy image scan
image:
name: aquasec/trivy:latest
entrypoint: [""]
script:
- trivy image sevenajay/youtubev1:latest
deploy:
stage: run container
tags:
- youtube #use your own tags
script:
- docker run -d --name youtube -p 3000:3000 sevenajay/youtubev1:latest
Commit changes, it will automatically start to build
Click on Build → Pipelines
Click on Running
The last stage is added to the Pipeline
If you get an error like this
Go to GitLab and click on deploy job
Let’s see what is the error
If you get an error like this, click on that link
It will open a new tab and provide a solution for that
Now go to Mobaxtreme and stop the Runner
Go to root and use the below commands
sudo su
sudo vi /home/gitlab-runner/.bash_logout
You will see file like this
Comment them
Save and exit from that file and restart GitLab runner
sudo gitlab-runner restart
exit
Now start and Run the GitLab runner
sudo gitlab-runner start
sudo gitlab-runner run
Now go to GitLab → Build → Pipelines
Click on Run Pipeline
Again Click on Run Pipeline
Build completed and click on Deploy job
See the output it ran a container on ec2
Now go to MobaXtreme or Putty and Provide the below command to see running containers.
docker ps
Container running.
Step 7: Access the Application on Browser
Copy the Public IP of the ec2 instance and paste it into the Browser.
Don’t forget to open the 3000 port in the Security Group
<Public-ip:3000>
Output
Step 8: Termination
Delete the personal Access token of the docker.
Delete the containers.
docker stop <container name>
docker rm <container name>
3.Delete the Ec2 instance.
And there you have it, folks! You’re now the DevOps master of your YouTube app deployment universe. We’ve journeyed through code, quality, security, containers, and automation, all with GitLab as our trusty sidekick. Now it’s your turn to unleash the power of DevOps and take your YouTube app to the next level!
So, what’s next on your development adventure? Whether it’s conquering new projects, exploring even cooler tech, or simply celebrating with a well-deserved coffee break, remember that DevOps is all about making your life easier and your code better. Embrace the joy of seamless deployments, keep learning, and never stop having fun in the ever-evolving world of software development. 🚀😎
If you enjoyed this Blog, don’t forget to hit that like button, share with your fellow tech enthusiasts, and subscribe for more exciting DevOps adventures. And as always, stay curious, stay creative, and keep coding with a smile! 😄✨