IT CAREER ROADMAP

From IT Support to Leadership – Grow Your Skills, Build Your Future

The 7 Stages of Growth

1. L1 Help Desk Support

• Experience: 0 – 1 Years

• Key Skills:

  • Hardware & Software Troubleshooting

  • Windows OS

  • Microsoft 365 Basics

  • Remote Support Tools

  • Ticketing Systems

  • Customer Service

• Recommended Certifications:

  • ITIL 4 Foundation

  • CompTIA A+

  • Microsoft 365 Fundamentals (MS-900)

2. Desktop Support

• Experience: 1 – 2 Years

• Key Skills:

  • Windows 10/11

  • Hardware Support

  • Microsoft 365 Applications

  • Active Directory Basics

  • Networking Basics

  • Imaging & Deployment

  • User Account Management

• Recommended Certifications:

  • CompTIA Network+

  • Microsoft 365 Fundamentals (MS-900)

  • ITIL 4 Foundation

3. EUC Engineer

• Experience: 2 – 4 Years

• Key Skills:

  • Microsoft Intune

  • Entra ID (Azure AD)

  • M365 Administration

  • Windows Autopilot

  • SCCM / MECM

  • Application Packaging

  • PowerShell Basics

  • Endpoint Security

• Recommended Certifications:

• MD-102: Microsoft 365 Endpoint Administrator

• MS-102: Microsoft 365 Administrator

• SC-300: Identity and Access Administrator

4. System Administrator

• Experience: 4 – 6 Years

• Key Skills:

  • Windows Server

  • Active Directory Management

  • Group Policy

  • DNS, DHCP

  • File & Print Services

  • Backup & Recovery

  • Virtualization (VMware / Hyper-V)

  • Monitoring & Performance

• Recommended Certifications:

  • AZ-104: Azure Administrator

  • Windows Server Hybrid Administrator (AZ-800 / AZ-801)

  • VMware VCP (Optional)

5. Cloud Engineer

• Experience: 6 – 8 Years

• Key Skills:

  • Microsoft Azure

  • Azure Virtual Desktop

  • Azure Virtual Machines

  • Storage & Networking

  • Identity & Access Management

  • Automation (PowerShell)

  • IaC (ARM / Bicep)

• Recommended Certifications:

  • AZ-104: Azure Administrator

  • AZ-305: Azure Solutions Architect Expert

  • AZ-400: DevOps Engineer Expert (Optional)

6. Security Engineer

• Experience: 7 – 10 Years

• Key Skills:

  • Security Principles

  • Microsoft Defender Suite

  • Microsoft Sentinel (SIEM)

  • Identity Protection

  • Conditional Access

  • Zero Trust

  • Vulnerability Management

  • Incident Response

• Recommended Certifications:

  • SC-200: Security Operations Analyst

  • SC-300: Identity and Access Administrator

  • SC-100: Cybersecurity Architect (Optional)

7. Solutions Architect / IT Manager

• Experience: 10+ Years

• Key Skills:

  • Solution Design & Architecture

  • Cloud Strategy & Governance

  • IT Infrastructure Planning

  • Security Architecture

  • Vendor & Stakeholder Management

  • Budgeting & Cost Optimization

  • Leadership & Team Management

  • Communication & Business Alignment

• Recommended Certifications:

  • AZ-305: Azure Solutions Architect Expert

  • TOGAF / ITIL 4 Managing Professional (MP)

  • PMP (Optional)

🏆 SUCCESS FORMULA

• 📖 Keep Learning Continuously — Stay updated with evolving tech trends.

• 🧪 Build a Home Lab & Get Hands-on — Practice tools in a safe environment.

• 🎯 Work on Real Projects & Automate — Apply logic and script repetitive tasks.

• 🤝 Network, Share & Give Back — Connect with peers and mentor others.

• 📈 Stay Consistent & Keep Growing — Growth takes time and daily effort.

Your Career Growth Depends on Your Daily Commitment to Learn, Apply and Evolve.

𝗟𝗶𝗻𝘂𝘅 𝗕𝗼𝗼𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 – 𝗙𝗿𝗼𝗺 𝗣𝗼𝘄𝗲𝗿 𝗢𝗻 𝘁𝗼 𝗟𝗼𝗴𝗶𝗻

Have you ever wondered what actually happens when you press the Power Button on a Linux machine?

Within a few seconds, Linux performs a series of well-defined steps before presenting you with the login screen. Understanding this process is essential for every 𝗟𝗶𝗻𝘂𝘅 𝗔𝗱𝗺𝗶𝗻𝗶𝘀𝘁𝗿𝗮𝘁𝗼𝗿, 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗦𝘆𝘀𝘁𝗲𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗮𝗻𝗱 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹.

Here's a quick breakdown:

𝟭. 𝗣𝗼𝘄𝗲𝗿 𝗢𝗻
The system receives power and initializes the hardware.

𝟮. 𝗕𝗜𝗢𝗦/𝗨𝗘𝗙𝗜
Performs the POST (Power-On Self-Test), checks hardware components, and identifies bootable devices.

𝟯. 𝗗𝗲𝘁𝗲𝗰𝘁 𝗕𝗼𝗼𝘁 𝗗𝗲𝘃𝗶𝗰𝗲
The firmware selects the boot device based on the configured boot order.

𝟰. 𝗚𝗥𝗨𝗕 (𝗕𝗼𝗼𝘁 𝗟𝗼𝗮𝗱𝗲𝗿)
GRUB reads its configuration, loads the Linux kernel, and initializes the required boot parameters.

𝟱. 𝗞𝗲𝗿𝗻𝗲𝗹 𝗜𝗻𝗶𝘁𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻
The Linux kernel takes control, detects hardware, mounts the root filesystem, and starts the first userspace process.

𝟲. 𝘀𝘆𝘀𝘁𝗲𝗺𝗱 (𝗣𝗜𝗗 𝟭)
The first process in userspace, responsible for initializing the system and managing all services.

𝟳. 𝗧𝗮𝗿𝗴𝗲𝘁 𝗙𝗶𝗹𝗲𝘀 & 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀
systemd activates the required targets and starts essential services such as networking, SSH, logging, and other background processes.

𝟴. 𝗟𝗼𝗴𝗶𝗻 𝗦𝗰𝗿𝗲𝗲𝗻
Once all critical services are running, the system is ready, and users can log in.

𝗪𝗵𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗹𝗲𝗮𝗿𝗻 𝘁𝗵𝗲 𝗟𝗶𝗻𝘂𝘅 𝗕𝗼𝗼𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀?

 • Troubleshoot boot failures
 • Recover systems using GRUB or Rescue Mode
 • Understand Kernel and systemd interactions
 • Prepare for certifications like RHCSA, RHCE, and LFCS
 • Build a strong foundation for DevOps, Cloud, and Linux Administration

Mastering the Linux boot process isn't just about passing certifications it's about understanding what happens behind the scenes every time a Linux server starts.

AWS Main Concepts (Easy & Beginner Friendly)

1. IAM (Identity and Access Management) 

What it is:
IAM controls who can access AWS and what they can do.

Example:

• Create users for employees.
• Give Admin access to managers.
• Give Read-Only access to interns.

Use Case:
A company allows developers to manage EC2 servers but prevents them from deleting S3 files.

2. EC2 (Elastic Compute Cloud) 

What it is:
EC2 provides virtual servers in the cloud to run applications.

Example:

• Host a website.
• Run a web application.
• Create a Linux server for DevOps practice.

Use Case:
You launch an Ubuntu EC2 instance and deploy your portfolio website.

3. S3 (Simple Storage Service) 

What it is:
S3 stores files, images, videos, backups, and documents securely.

Example:

• Store website images.
• Save database backups.
• Host a static website.

Use Case:
Upload your portfolio website files to an S3 bucket and make it publicly accessible.

4. VPC (Virtual Private Cloud) 

What it is:
VPC creates your own private network inside AWS.

Example:

• Public subnet for web servers.
• Private subnet for databases.

Use Case:
Users can access your website, but the database remains hidden from the internet.

5. Security Groups 

What it is:
Security Groups act like a firewall for AWS resources.

Example Rules:

• Allow HTTP (80)
• Allow HTTPS (443)
• Allow SSH (22)

Use Case:
Allow website visitors on port 80 and 443 while only administrators can access port 22.

6. Load Balancer 

What it is:
Distributes incoming traffic across multiple servers.

Benefits:

• High availability
• Better performance
• No single point of failure

Use Case:
10,000 users visit your website. The Load Balancer shares traffic between multiple EC2 servers.

7. Auto Scaling 

What it is:
Automatically adds or removes EC2 servers based on demand.

Example:

• High traffic → Add servers
• Low traffic → Remove servers

Use Case:
During a festival sale, Auto Scaling launches extra servers automatically.

8. RDS (Relational Database Service)

What it is:
Managed database service for MySQL, PostgreSQL, MariaDB, etc.

Benefits:

• Automatic backups
• Easy maintenance
• High availability

Use Case:
Store customer information for an e-commerce website without managing database servers manually.

9. Lambda 

What it is:
Runs code without managing servers.

How it works:
Event → Lambda Function → Output

Use Case:
When a user uploads an image to S3, Lambda automatically resizes it.

10. CloudWatch 

What it is:
Monitors AWS resources and applications.

Monitors:

• CPU usage
• Memory usage
• Logs
• Alarms

Use Case:
Send an alert when EC2 CPU usage exceeds 80%.

11. Route 53 

What it is:
AWS DNS service that connects domain names to AWS resources.

Example:

• google.com → IP Address
• mywebsite.com → EC2 Server

Use Case:
Connect your purchased domain name to your website hosted on AWS.

12. CloudFront 

What it is:
Content Delivery Network (CDN) that delivers content faster worldwide.

Benefits:

• Faster website loading
• Lower latency
• Global caching

Use Case:
Visitors from India, USA, and Europe receive website content from the nearest AWS edge location.

Remember:
IAM → VPC → Security Groups → EC2 → Load Balancer → Auto Scaling → RDS → S3 → Lambda → CloudWatch → Route 53 → CloudFront
These are the most important AWS services every AWS Cloud/DevOps beginner should understand first.

User

  ↓

Route 53 (DNS)

  ↓

CloudFront (CDN)

  ↓

Load Balancer

  ↓

Auto Scaling Group

  ↓

EC2 Instances

  ↓

RDS Database

Files & Images → S3

Monitoring → CloudWatch

Permissions → IAM

Network Security → VPC + Security Groups

Automation → Lambda

Python Roadmap For DevOps Engineer

 Simple guide E-Book for Python using in DevOps

Day-01 : Overview of Python in DevOps
Day-02 : Data Types
Day-03 : Keywords and Variables
Day-04 : Functions, Modules and Packages
Day-05 : CLI Arguments & Env Variables
Day-06 : Operators in Python
Day-07 : Condition Handlings
Day-08 : List & Tuples
Day-09 : Loops
Day-10 : Working with Lists
Day-11 : Dictionaries & Sets
Day-12 : File Operations
Day-13 : Boto3 Overview
Day-14 : JIRA Integration
Day-15 : JIRA & GitHub Integration
Day-16 : Basic Interview Questions

— Day 1 —

Overview of Python in DevOps

Overview of DevOps

DevOps is a modern software development culture that focuses on improving collaboration between development and operations teams. Its main goals are automation, continuous integration, continuous delivery (CI/CD), faster releases, and reliable systems. DevOps helps organizations deliver high-quality software quickly and efficiently.

Python in DevOps

Python has become one of the most popular scripting languages for DevOps engineers. Its simplicity, flexibility, and large ecosystem of libraries make it ideal for automation, configuration management, cloud integration, and system monitoring tasks.

Four Pillars of Any Programming Language

• Keywords — Reserved words that define the structure and logic of the language
• Data Types — Define the type of data a program can store and process
• Operators — Used to perform operations on variables and values
• Logical Reasoning Skills — Ability to think logically and solve problems using code

Key Advantages of Python in DevOps

Ease of Use

• Python’s simple and readable syntax makes it easy to learn and use for both beginners and experienced DevOps engineers.

Cross-Platform Compatibility

• Python scripts can run on multiple operating systems such as Linux, Windows, and macOS, ensuring consistency across environments.

Rich Library Ecosystem

• Python offers extensive libraries for API interaction, infrastructure automation, cloud management, and data handling, making it suitable for many DevOps use cases.

Community and Support

• Python has a strong global community, providing quick problem-solving, documentation, and access to a wide range of tools and learning resources.

Core Use Cases of Python in DevOps

1. Automation of CI/CD Pipelines

Python is widely used to automate build, test, and deployment stages in CI/CD pipelines.

How it’s used:

• Trigger builds
• Run automated tests
• Manage deployment scripts
• Interact with CI/CD tools

Tools: Jenkins, GitLab CI, CircleCI

Real DevOps Example:

• A Python script triggers Jenkins jobs, checks build status, and sends Slack notifications when a deployment fails or succeeds.

2. Infrastructure as Code (IaC)

Python helps in provisioning and managing infrastructure in a repeatable and automated way.

How it’s used:

• Create EC2 instances
• Manage VPCs, Load Balancers
• Automate cloud resource provisioning

Tools: Terraform, AWS Boto3 SDK

Real DevOps Example:

• A Python script using Boto3 automatically creates EC2 instances and attaches EBS volumes based on demand.

3. Configuration Management

Python ensures consistent configuration across multiple environments (Dev, QA, Prod).

How it’s used:

• Maintain server configurations
• Apply configuration changes automatically
• Reduce configuration drift

Real DevOps Example:

• Python scripts ensure all Linux servers have the same packages, users, and environment variables.

4. System Monitoring & Alerts

Python scripts monitor system health and send alerts when thresholds are breached.

How it’s used:

• CPU, memory, disk monitoring
• Log monitoring
• Alert generation

Tools: Nagios, Prometheus, Grafana

Real DevOps Example:

• A Python script checks disk usage every 5 minutes and emails admins if usage exceeds 80%.

5. Log Management and Analysis

Python parses and analyzes logs for errors and performance issues.

How it’s used:

• Log parsing
• Error detection
• Real-time analysis

Real DevOps Example:

• Python scans application logs and identifies repeated 500 errors, then raises alerts.

6. API Integration

Python interacts with external services through REST APIs.

How it’s used:

• Cloud service integration
• Monitoring tools integration
• Automation via APIs

Services: AWS, Azure, DataDog, Splunk

Real DevOps Example:

• Python pulls metrics from DataDog API and generates custom performance reports.

7. Cloud Automation

Python automates cloud operations across multiple cloud providers.

How it’s used:

• Auto-scaling
• Resource cleanup
• Deployment automation

Clouds: AWS, Google Cloud, Azure

Real DevOps Example:

• Python automatically stops unused EC2 instances at night to reduce cloud costs.

8. Container Management and Orchestration

Python helps manage containers and Kubernetes clusters.

How it’s used:

• Manage Docker containers
• Interact with Kubernetes APIs
• Automate deployments

Tools: Docker, Kubernetes

Real DevOps Example:

• Python script scales Kubernetes pods based on CPU usage.

Tools and Libraries for Python in DevOps

Boto3

• AWS SDK for Python
• Automates EC2, S3, RDS, IAM

Example:
Creating EC2 instances automatically.

Ansible

• Python-based configuration management tool
• Used for deployment and orchestration

Example:
Deploy applications to multiple servers using Ansible playbooks.

Requests

• Simplifies API interactions

Example:
Calling cloud APIs to fetch server health status.

Kubernetes Python Client

• Manages Kubernetes clusters via API

Example:
Scaling pods or restarting failed containers automatically.

Best Practices for Using Python in DevOps

Modularity

• Write reusable and maintainable scripts.

Error Handling

• Use try-except blocks for graceful failure handling.

Version Control

• Use Git to track changes in automation scripts.

Logging and Monitoring

• Implement logging for debugging and performance tracking.

Security Considerations

• Never hardcode passwords or API keys.
• Use environment variables or secret managers.