# DevOps Journey #0: Why I Started Learning Cloud and DevOps


## Introduction

Hello everyone,

I'm **Mominur Islam**, an Information Technology graduate and currently working as a **Scholar Trainee at Wipro**. Over the past few months, I have developed a strong interest in Cloud Computing, Linux, Automation, and DevOps technologies.

This article marks the beginning of my **DevOps Journey**. Through this series, I will document my learning experiences, projects, challenges, and achievements as I work toward becoming a Cloud and DevOps Engineer.

My goal is not only to learn but also to share what I learn with others who are on a similar path.

## Why Cloud and DevOps?

Throughout my academic journey and early professional experience, I gradually discovered that what I enjoy most is **solving problems through technology**. Whether it was learning a new tool, building a project, or finding a better way to complete a task, I was always curious about how technology can make people's lives easier.

One of the best examples was my academic project, where I developed a **Hostel and Billing Management System**. The goal was to simplify the process of calculating students' meal costs and expenses. What previously took hours of manual calculations could be completed in a single click with real-time accuracy. Seeing how a technical solution could save time and reduce effort was incredibly satisfying and reinforced my interest in building practical solutions.

As I continued exploring different areas of technology, I realized that DevOps combines many of the things I genuinely enjoy:

*   Problem Solving
    
*   Linux Administration
    
*   Cloud Computing
    
*   Automation
    
*   Scripting
    
*   Infrastructure Management
    
*   Continuous Learning
    

What attracted me to DevOps the most is that it is not about mastering a single tool. Instead, it involves learning various technologies and using them together to solve real-world problems, automate repetitive tasks, improve efficiency, and build reliable systems that can scale.

For someone who enjoys learning new things and continuously improving processes, Cloud and DevOps felt like a natural career path. It perfectly aligns with my curiosity, problem-solving mindset, and passion for creating solutions that make complex tasks simpler.

This is one of the main reasons why I decided to start this journey and document my progress along the way.

## My Current Learning Roadmap

To build a strong foundation, I have organized my learning journey into different stages.

## Phase 1: Linux Fundamentals

*   Linux Commands
    
*   File System Management
    
*   Permissions and Ownership
    
*   Process Management
    
*   Shell Basics
    

## Phase 2: Automation & Scripting

*   Bash Scripting
    
*   Python Basics
    
*   Task Automation
    
*   Linux Automation
    

## Phase 3: Networking Fundamentals

*   OSI & TCP/IP Models
    
*   IP Addressing & Subnetting
    
*   DNS, DHCP & Routing
    
*   HTTP, HTTPS & SSH
    
*   Firewalls & Network Security
    

## Phase 4: Cloud Computing

*   Cloud Fundamentals
    
*   AWS Core Services
    
*   IAM
    
*   EC2
    
*   S3
    
*   Cloud Networking
    

## Phase 5: Version Control

*   Git Fundamentals
    
*   Branching & Merging
    
*   GitHub Workflows
    
*   Collaboration Best Practices
    

## Phase 6: CI/CD

*   Continuous Integration
    
*   Continuous Delivery
    
*   Continuous Deployment
    
*   Pipeline Design
    
*   Automation Workflows
    

## Phase 7: Containerization

*   Docker Fundamentals
    
*   Docker Images & Containers
    
*   Docker Networking
    
*   Docker Compose
    

## Phase 8: Container Orchestration

*   Kubernetes Architecture
    
*   Pods, Deployments & Services
    
*   Scaling Applications
    
*   Cluster Management
    

## Phase 9: DevSecOps

*   Secure Development Practices
    
*   Vulnerability scanning
    
*   Secrets Management
    
*   Container & Cloud Security
    

## Phase 10: Infrastructure as Code (IaC)

*   Terraform
    
*   Ansible
    
*   Infrastructure Provisioning
    
*   Configuration Management
    

## Phase 11: GitOps

*   GitOps Principles
    
*   Argo CD
    
*   Continuous Deployments
    
*   Kubernetes GitOps Workflows
    

## Phase 12: Observability

*   Prometheus
    
*   Grafana
    
*   Logging & Monitoring
    
*   Alerting & Troubleshooting
    

## Phase 13: AI Infrastructure & AIOps

*   AI Infrastructure Fundamentals
    
*   GPU & Compute Platforms
    
*   AIOps Operations
    
*   Intelligent Monitoring & Automation
    

## Phase 14: Real-World Projects

*   End-to-End DevOps Projects
    
*   CI/CD Pipelines
    
*   Cloud Deployments
    
*   Infrastructure Automation
    
*   Monitoring Solutions
    

## What You Can Expect From This Series

This series will focus on practical learning rather than theory alone.

I will share:

*   Concepts explained in simple language
    
*   Hands-on labs and exercises
    
*   Commands and configurations
    
*   Mistakes and lessons learned
    
*   Project walkthroughs
    
*   Certification preparation insights
    
*   Useful resources and references
    

Each article will represent a milestone in my learning journey.

* * *

## My Goal

My long-term goal is to become a skilled **Cloud and DevOps Engineer** capable of designing, automating, and managing modern cloud infrastructure.

I believe that consistency is more important than speed. Even small progress every day can lead to significant growth over time.

This blog series will help me:

*   Track my progress
    
*   Reinforce my learning
    
*   Build a public portfolio
    
*   Connect with like-minded learners and professionals
    

## What's Next?

In the next article, I'll share my experience setting up and using a Linux environment, along with some essential Linux commands.

Stay tuned for:

**DevOps Journey #1: Essential Linux Commands Every Beginner Should Know**

> ### **A Special Thank you for reading this far............**