Enterprise DevOps Platform

Overview

Designed and implemented an enterprise-style DevOps platform that combines Infrastructure as Code, automation, containerization, CI/CD validation, and monitoring into a single workflow.

The platform demonstrates how modern DevOps teams use Terraform, Ansible, Docker, GitHub Actions, NGINX, Prometheus, and Grafana to automate deployments, validate infrastructure, and improve operational visibility.

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Architecture

GitHub Repository
        │
        ▼
GitHub Actions CI/CD
        │
        ▼
Terraform Infrastructure Layer
        │
        ▼
Ansible Automation Layer
        │
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Dockerized NGINX Application
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Prometheus Monitoring
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Grafana Dashboards

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Technologies Used

• Terraform
• Ansible
• Docker
• Docker Compose
• GitHub Actions
• NGINX
• Prometheus
• Grafana
• Linux
• YAML
• HCL
• Bash

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Project Objectives

• Implement Infrastructure as Code using Terraform
• Automate validation tasks with Ansible
• Deploy services using Docker Compose
• Validate repository changes through CI/CD
• Monitor services using Prometheus
• Visualize metrics using Grafana
• Document a complete DevOps workflow

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Repository Structure

enterprise-devops-platform/
│
├── terraform/
│   ├── main.tf
│   ├── variables.tf
│   └── outputs.tf
│
├── ansible/
│   ├── inventory.ini
│   └── deploy.yml
│
├── app/
│   └── index.html
│
├── monitoring/
│   ├── docker-compose.yml
│   └── prometheus.yml
│
├── .github/
│   └── workflows/
│       └── pipeline.yml
│
├── screenshots/
│
└── README.md

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Infrastructure as Code (Terraform)

Terraform was used to define and validate infrastructure resources through reusable configuration files.

Tasks Completed

• Created Terraform variables
• Implemented outputs
• Generated infrastructure reports
• Executed Terraform validation
• Reviewed Terraform state

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Automation (Ansible)

Ansible was used to automate validation and infrastructure checks.

Tasks Completed

• Created inventory configuration
• Built automation playbook
• Validated Docker installation
• Verified application deployment files

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Containerization (Docker)

Docker Compose was used to deploy application and monitoring services.

Services

Service	Port
NGINX	8085
Prometheus	9090
Grafana	3001

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CI/CD (GitHub Actions)

GitHub Actions was used to automate repository validation whenever code is pushed to the main branch.

Tasks Completed

• Repository validation
• Application validation
• Automated workflow execution
• CI pipeline monitoring

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Monitoring

Prometheus and Grafana were deployed to provide monitoring and visualization capabilities.

Monitoring Stack

• Prometheus
• Grafana
• NGINX Service

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Screenshots

Project Structure

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Terraform Initialization

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Terraform Validation

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Terraform Plan

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Terraform Apply

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Terraform State

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Ansible Version

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Ansible Playbook

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Ansible Execution

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Docker Compose Configuration

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Running Containers

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NGINX Application

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Prometheus Dashboard

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Grafana Dashboard

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GitHub Actions Workflow

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GitHub Actions Dashboard

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Successful CI/CD Pipeline

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Commands Used

Terraform

terraform init
terraform fmt
terraform validate
terraform plan
terraform apply
terraform state list

Ansible

ansible-playbook -i inventory.ini deploy.yml

Docker

docker compose up -d
docker ps

Git

git add .
git commit -m "Implemented enterprise DevOps platform"
git push

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Key Outcomes

• Implemented Infrastructure as Code workflows
• Automated validation through Ansible
• Deployed containerized services with Docker
• Integrated GitHub Actions CI/CD automation
• Implemented monitoring using Prometheus and Grafana
• Documented an end-to-end DevOps workflow

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Skills Demonstrated

• DevOps Engineering
• Infrastructure as Code
• Terraform
• Ansible
• Docker
• GitHub Actions
• CI/CD
• Monitoring & Observability
• Linux Administration
• Automation
• Infrastructure Validation