Nous essayons de réduire les vulnérabilités dans ce projet. Nous avons mis en place un workflow de scan de vulnérabilités en utilisant Trivy. Le badge ci-dessus montre le statut du dernier scan.

Pour exécuter le projet, suivez ces étapes :

1. Assurez-vous que Docker et Docker Compose sont installés sur votre système.
2. Clonez le dépôt : git clone https://github.com/seb34000/T-NSA810.git
3. Naviguez vers le répertoire du projet : cd T-NSA810
4. Démarrez le projet en utilisant Docker Compose : docker-compose up --build

C'est tout ! Le projet devrait maintenant être opérationnel.

This guide provides step-by-step instructions to deploy a sample application on Kubernetes using Minikube.

Ensure you have the following installed on your machine:

• Docker
• Minikube
• Kubectl
• Helm
• Argo CD CLI

You will need to set the following environment variables:

• GIT_USER: Your GitHub username.

1. Clone the Repository

   git clone https://github.com/yourusername/your-repo.git
   cd your-repo

2. Prepare the Environment

   export GIT_USER=your_github_username

3. Run the Deployment Script

   The provided script automates the deployment process. Save the script below as kube-start.sh and make it executable.

   chmod +x kube-start.sh
   sudo ./kube-start.sh

   when asked by argocd you will need to put your github token as github password

4. Access the Argo CD UI

   Once the script completes, you can access the Argo CD UI using the URL provided in the script output. It will look something like:

   http://<minikube-ip>:<node-port>
   

   You can log in using the username admin and the password adminadmin.

5. Verify Deployment

   You can verify that your application is running correctly by checking the Argo CD dashboard and using kubectl commands to inspect the deployed resources.

   kubectl get pods -n nsa

• If you encounter issues with Minikube or Kubernetes, refer to their official documentation for troubleshooting tips:

  • Minikube Troubleshooting
  • Kubernetes Troubleshooting

• Ensure Docker is running and you have sufficient resources allocated to Minikube (CPU, Memory).

To delete the Minikube cluster and all deployed resources, run:

minikube delete