Deploy A E-Comm Website Using Shell Script | Full DevOps Course (60 Days) | Day 6

Project 1: Deploy PHP & MySQL Website Using Shell Script – Step-by-Step Automation

In this beginner-friendly DevOps project, you'll learn how to deploy a full PHP and MySQL website on a Linux server using a custom shell script. This video walks you through:

✅ Installing Apache, PHP, and MySQL
✅ Writing and running a Bash script for deployment
✅ Configuring virtual hosts
✅ Testing the deployed website

This is perfect for DevOps beginners, Linux learners, and anyone looking to automate deployments using real-world scripting.

🧠 What you’ll learn:
- How to automate LAMP stack setup
- Deploy PHP code with MySQL database
- Run shell scripts to simplify server provisioning
- Real hands-on experience with scripting

📌 No DevOps experience? No problem! This is step-by-step and practical.

🔔 Subscribe for more real-world DevOps projects and tutorials every day at 6 PM!

Course module : https://github.com/devopssteps/complete-60-days-devops-course

#php #mysql #shellscript #deployment #devopsproject #linuxautomation

CloudOps Steps is your go-to channel to learn DevOps, Cloud Computing, and Real-World Projects step by step.

On this channel, you will learn how to become a DevOps Engineer with practical, hands-on tutorials using industry tools like Docker, Kubernetes, Jenkins, Terraform, Ansible, AWS, and Linux.

We focus on real-world DevOps projects, including:
- CI/CD pipeline setup (Jenkins, GitHub Actions)
- Docker & Kubernetes deployment
- AWS cloud projects (EC2, S3, RDS, EKS)
- Infrastructure as Code using Terraform
- Configuration management with Ansible
- Monitoring with Prometheus & Grafana

Whether you are a beginner or experienced IT professional, this channel will help you:

Learn DevOps step by step
- Build real-world projects
- Prepare for DevOps interviews
- Become job-ready in DevOps & Cloud

🎯 Perfect for:
DevOps beginners, Cloud engineers, Software developers, System administrators

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DevOps tutorials, Cloud computing, AWS projects, CI/CD pipelines, Kubernetes hands-on labs, and automation tools.

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