High Availability Kubernetes CI/CD Pipeline

Author: Duc Minh Nguyen

Description:
This project demonstrates a complete end-to-end CI/CD pipeline using Jenkins, Kubernetes, and Terraform. It ensures high availability, automated deployments, and comprehensive monitoring. The initial study and development time for this project was around 6 months, completed during my winter break.

** Required Server:

• 3 Master Instances
• 1 Load Balancer
• 3 Worker Instances
• 1 Installer Instances installing Jenkin Slave
• 1 Jenkin Master Instances
• 1 Sonarqube Instances

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Features

Demo Video, Follow in order

1.1.mp4

[SECOND VIDEO OVER HERE] https://youtu.be/JuYIE03daUA

3.1.mp4

Docker image after build

Project Structure

1. K8S_Terraform
   Contains Terraform scripts to set up a basic Kubernetes cluster.
   [Refer to the README.md inside for setup instructions]

2. K8S_Terraform_HighAvailability
   Terraform scripts for setting up a high availability Kubernetes cluster.
   [Refer to the README.md inside for setup instructions]

3. Taint_Toleration
   Guide and scripts for Kubernetes taint and toleration configuration.
   [Refer to the README.md inside for setup instructions]

4. K8S_Monitoring
   Configuration for monitoring the Kubernetes cluster using Prometheus and Grafana.
   [Refer to the README.md inside for setup instructions]

5. Jenkin_Pipeline
   Jenkins pipeline configuration for continuous integration and deployment.
   [Refer to the README.md inside for setup instructions]

6. Ansible
   Ansible playbooks for automating configuration tasks. However, not much here, it was just some few basic configures [Refer to the README.md inside for setup instructions]

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How to Get Started

1. Clone this repository.
2. Navigate to each folder and follow the specific README.md for detailed setup and deployment instructions.
3. Ensure you have the necessary tools installed:
   • Terraform
   • Kubernetes (kubectl)
   • Jenkins
   • Docker
   • Ansible

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Features

• High availability Kubernetes cluster with automatic failover.
• CI/CD pipeline using Jenkins for automated builds, code scanning with SonarQube, and deployment.
• Dockerized applications with images published to Docker Hub.
• Continuous monitoring with Prometheus, Grafana, and alerting using Alertmanager.

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Feel free to reach out if you have any questions or need further guidance!