Application Deployment on AWS using Jenkins, GitHub and Terraform ​

Goal

Automate the deployment process of applications on AWS using Jenkins, GitHub, and Terraform to improve efficiency, minimize configuration errors, and ensure consistent infrastructure provisioning. This automation will streamline the deployment workflow, provide robust state management, and enhance collaboration through continuous integration and delivery (CI/CD).

Scenario

The DevOps team of NovaTech manages a web application using AWS EC2 instances and NGINX as the web server. They aim to automate the creation, management, and deletion of their cloud environments for development, testing, and production. To do this efficiently:

1. Automation Tools: They use Jenkins and Terraform to automate the provisioning and decommissioning of AWS resources.

2. Containerized Deployment: NGINX is consistently deployed in containers on all EC2 instances.

3. Service Automation: SymphonyAI Service Automation is used to streamline the entire Automation lifecycle.

This setup allows the team to swiftly manage resources, ensure consistent application deployments, and minimize manual work.

Solution

Leverage Service Automation to establish an automated deployment process using Jenkins, GitHub, and Terraform. This approach involves configuring webhooks for continuous integration, defining infrastructure as code with Terraform, and provisioning/deploying NGINX containers on AWS EC2 instances. By automating these workflows, you optimize the deployment pipeline, minimize manual errors, and enhance the efficiency and reliability of your services.

Service Automation ensures that changes are implemented swiftly and consistently across all environments, facilitating agile development practices and improving overall service delivery.

Here's an exciting sneak peek into the Application Deployment of AWS using Jenkins, GitHub and Terraform flow!

For an in-depth understanding of Application Deployment on AWS using Jenkins, GitHub and Terraform with SymphonyAI Service Automation refer the below segment:

Step 1: Trigger Jenkins Job Remotely to Provision or Delete AWS Resources

Goal: Automate the provisioning or deletion of AWS resources using Jenkins jobs, triggered remotely for efficient deployment.

Solution:

1. Setup Jenkins on a Dedicated Server or EC2 Instance: Install and configure Jenkins, ensuring secure access and reliable performance.

2. Configure GitHub Webhooks: Set up webhooks to trigger Jenkins jobs automatically on code commits or pull requests.

3. Use Jenkins API: Enable remote job triggers using the Jenkins API, allowing integration with external scripts or automation tools.

Step 2: Provisioning and Deletion of AWS Resources Using Terraform

Goal: Use Terraform for Infrastructure as Code (IaC) to manage AWS resources systematically and reliably.

Solution:

1. Define Infrastructure with Modular Terraform Configurations: Create scripts for VPCs, EC2 instances, and IAM roles, making them reusable for different setups.

2. Store Terraform State in an S3 Bucket: Manage state files in an S3 backend with DynamoDB for state locking to prevent concurrency issues.

3. Setup Jenkins Pipeline for Terraform Execution: Automate resource provisioning and deletion through a well-defined Jenkins pipeline, ensuring consistent deployment and state management.

Step 3: Deployment of NGINX Container on EC2 Instances

Goal: Automate the deployment of an NGINX container on AWS EC2 instances to deliver a scalable and efficient web solution.

Solution:

1. Provision EC2 Instances Using Terraform: Define instance configurations, including AMI selection, instance type, and IAM roles.

2. Automate NGINX Deployment with EC2 User Data Scripts: Install Docker, pull the latest NGINX image, and run the container on instance initialization.

3. Implement Validation in Jenkins: Add steps to the Jenkins pipeline for automated verification of the NGINX deployment and notify stakeholders upon successful completion.