☁️ Introduction to AWS & Public Cloud | Complete Beginner Guide for DevOps Engineers 🚀
📌 Introduction
Cloud computing has completely changed the way organizations build, deploy, and manage applications. Instead of purchasing expensive physical servers and maintaining data centers, companies can now use cloud platforms like AWS, Azure, and Google Cloud to access computing resources whenever required.
In this blog, we will understand:
What is Cloud Computing?
Evolution from Traditional Data Centers to Cloud
What is Virtualization?
Public Cloud vs Private Cloud
Why AWS is Popular?
Benefits of AWS for DevOps Engineers
How to Create an AWS Account
This blog is part of the AWS Zero to Hero for DevOps Engineers journey, where we will learn AWS concepts practically with real-world examples.
☁️ What is Cloud Computing?
Cloud Computing is the delivery of IT resources like servers, storage, databases, networking, and software over the internet on demand.
Instead of buying and managing physical hardware, organizations can rent resources from cloud providers and pay only for what they use.
Traditional Data Center Approach
Earlier, companies followed an on-premises infrastructure model:
Company → Buys Servers → Setup Data Center → Maintain Hardware → Deploy Applications
Challenges:
High hardware cost 💰
Requires physical space
Manual maintenance
Limited scalability
Hardware failure risks
Example:
A company launching a new application needs:
Servers
Storage
Network devices
Security systems
IT administrators
Setting up everything can take weeks or months.
🚀 Evolution from Data Centers to Cloud
Cloud computing evolved because organizations needed faster, cheaper, and scalable infrastructure.
Traditional Infrastructure
Physical Server
|
|
Operating System
|
|
Application
One physical server usually runs one application, causing resource wastage.
🖥️ What is Virtualization?
Virtualization is the technology that allows multiple virtual machines to run on a single physical server.
Example:
One powerful physical server can create:
Physical Server
|
|
Hypervisor
|
-----------------
| | |
VM-1 VM-2 VM-3
Linux Linux Windows
Benefits:
✅ Better hardware utilization
✅ Reduced infrastructure cost
✅ Easy resource management
✅ Faster deployment
Virtualization became the foundation of modern cloud computing.
☁️ What is Public Cloud?
A Public Cloud is a cloud environment where infrastructure is owned and managed by third-party cloud providers.
Examples:
Cloud providers manage:
Physical servers
Networking equipment
Data centers
Hardware maintenance
Security infrastructure
Users only consume required services.
🏢 What is Private Cloud?
A Private Cloud is a cloud infrastructure dedicated to a single organization.
Example:
A banking organization creates and manages its own cloud environment.
Architecture:
Organization
|
Private Cloud
|
Applications & Data
Advantages:
✅ More control
✅ Higher customization
✅ Better compliance management
Challenges:
❌ Expensive infrastructure
❌ Requires skilled administrators
❌ Maintenance responsibility is on the organization
🆚 Public Cloud vs Private Cloud
| Feature |
Public Cloud |
Private Cloud |
| Ownership |
Cloud Provider |
Organization |
| Cost |
Low initial cost |
High investment |
| Maintenance |
Managed by provider |
Managed internally |
| Scalability |
Very high |
Limited |
| Example |
AWS, Azure, GCP |
Enterprise Private Cloud |
| Best For |
Startups, enterprises |
Organizations requiring complete control |
🌟 Why Choose Public Cloud?
Public cloud became popular because it solves many infrastructure problems.
1. Pay-As-You-Go Model 💰
You pay only for the resources you consume.
Example:
Instead of purchasing a server worth ₹5 lakh:
Create cloud server
Use it for required time
Stop it when not needed
Pay only usage cost
2. Scalability 🚀
Cloud allows applications to increase or decrease resources according to demand.
Example:
During a festival sale:
Normal Traffic
|
Increase Users
|
Automatically Add More Servers
After traffic decreases:
Remove Extra Resources
Save Cost
3. No Hardware Maintenance
Cloud providers handle:
Server maintenance
Hardware replacement
Data center management
Network infrastructure
Developers and DevOps engineers can focus on applications.
☁️ Why AWS?
AWS is one of the most widely used cloud platforms globally.
Reasons AWS is Popular:
1. Cloud Market Leader
AWS was one of the first major cloud providers and has a large ecosystem.
2. Huge Number of Services
AWS provides services for:
Compute
Storage
Networking
Databases
Security
Monitoring
Machine Learning
Containers
Examples:
| Requirement |
AWS Service |
| Virtual Server |
EC2 |
| Storage |
S3 |
| Database |
RDS |
| Networking |
VPC |
| Kubernetes |
EKS |
| Monitoring |
CloudWatch |
3. Career Opportunities 🚀
AWS knowledge is highly valuable for:
DevOps Engineers
Cloud Engineers
Solutions Architects
SRE Engineers
Many organizations use AWS for production workloads.
🔄 Cloud Repatriation Concept
Cloud repatriation means moving workloads back from cloud environments to on-premises infrastructure.
Reasons:
Cost optimization
Compliance requirements
Specific business needs
However, most organizations continue using cloud because of:
✅ Flexibility
✅ Scalability
✅ Faster deployment
✅ Managed services
👨💻 Why AWS is Important for DevOps Engineers?
Modern DevOps engineers work heavily with cloud environments.
AWS helps DevOps engineers manage:
Infrastructure
Automation
Containers
CI/CD
CodePipeline
CodeBuild
CodeDeploy
Monitoring
🛠️ Creating an AWS Account
To start learning AWS, we need an AWS account.
Requirements:
✅ Email address
✅ Phone number
✅ Payment card for verification
AWS provides a Free Tier that allows beginners to practice many services without immediate charges within free usage limits.
Steps to Create AWS Account
Step 1: Visit AWS Website
Go to AWS official website and select:
Create AWS Account
Step 2: Enter Account Details
Provide:
Email address
Account name
Password
Step 3: Verify Identity
AWS verifies:
AWS requires payment details for identity verification.
Note:
Adding a card does not mean automatic charges if you stay within Free Tier limits.
Step 5: Select Support Plan
For beginners:
Choose:
Basic Support Plan (Free)
Step 6: Login to AWS Console
After successful setup:
You can access:
AWS Management Console
|
|
AWS Services Dashboard
🎯 Real-World Example
Imagine you want to build an e-commerce website.
Without Cloud:
You need:
Buy servers
Install software
Configure networking
Maintain hardware
Time: Weeks/Months
With AWS:
You can:
Create EC2 server
Store images in S3
Use RDS database
Configure Load Balancer
Monitor using CloudWatch
Time: Minutes
🔥 Key Takeaways
✅ Cloud computing provides IT resources over the internet.
✅ Virtualization made cloud computing possible.
✅ Public cloud removes hardware management responsibility.
✅ AWS is one of the leading cloud platforms.
✅ DevOps engineers must understand AWS services.
✅ AWS provides scalable, flexible, and cost-effective infrastructure.
☁️ AWS IAM Deep Dive with Practical Implementation
🔐 Introduction to AWS Identity and Access Management (IAM)
AWS Identity and Access Management (IAM) is one of the most important security services in AWS that helps organizations control who can access AWS resources and what actions they can perform.
In simple words:
IAM answers two important questions:
Who are you? → Authentication
What are you allowed to do? → Authorization
Example:
Imagine an office building:
Similarly, AWS IAM verifies users and provides permissions to access AWS services.
🤔 Why Do We Need IAM in AWS?
When an AWS account is created, it comes with a Root User that has complete access to all AWS services.
Using the root user for daily activities is dangerous because:
It has unlimited permissions.
Any mistake can impact the entire AWS account.
If credentials are compromised, attackers can access everything.
Therefore, AWS recommends:
✅ Create separate IAM users
✅ Assign only required permissions
✅ Follow the Principle of Least Privilege
🔑 Authentication vs Authorization
Understanding these two concepts is very important for AWS security.
🔹 Authentication (Who are you?)
Authentication verifies the identity of a user or application.
Examples:
Example:
A developer logs into AWS using IAM credentials.
AWS verifies:
Is this user valid?
🔹 Authorization (What can you do?)
Authorization decides what actions the authenticated user can perform.
Example:
A developer may have permission to:
✅ Create EC2 instances
✅ View S3 buckets
But may not have permission to:
❌ Delete databases
❌ Modify IAM policies
AWS uses policies to define these permissions.
🏗️ AWS IAM Core Components
AWS IAM mainly consists of four important components:
Users
Groups
Policies
Roles
👤 1. IAM Users
An IAM User represents an individual person or application that needs access to AWS.
Examples:
Developer
Tester
Database Administrator
DevOps Engineer
Example:
A company has:
Developers
|
|-- Rahul
|-- Amit
|-- Priya
Each employee can have their own IAM user.
Benefits:
✅ Individual access control
✅ Activity tracking
✅ Better security
✅ Easy permission management
👥 2. IAM Groups
An IAM Group is a collection of IAM users with similar permissions.
Instead of assigning permissions individually to every user, we create groups.
Example:
Development Group
Users:
- Rahul
- Amit
- Priya
Permissions:
- EC2 Access
- S3 Access
When a new developer joins:
Instead of creating permissions again:
Create User → Add User to Development Group
The user automatically gets required permissions.
Common Groups:
Developers
QA Team
Administrators
Database Team
Security Team
📜 3. IAM Policies
Policies define what actions a user, group, or role can perform.
IAM policies are written in JSON format.
A policy contains:
Effect → Allow or Deny
Action → AWS operation
Resource → AWS resource
Example:
A policy allowing S3 access:
{
"Effect": "Allow",
"Action": [
"s3:*"
],
"Resource": "*"
}
Meaning:
Allow
|
|-- All S3 actions
|
|-- On all resources
🎭 4. IAM Roles
IAM Roles provide temporary permissions to AWS services or users.
Unlike users:
Roles do not have passwords.
Roles provide temporary credentials.
Mostly used by applications and AWS services.
Example:
A web application running on EC2 needs access to S3.
Bad approach:
Store AWS Access Keys inside application code
Security risk ❌
Better approach:
EC2 Instance
|
|
IAM Role
|
|
S3 Access Permission
The application automatically gets permission through the role.
🔄 IAM Workflow
The complete IAM access flow:
User/Application
|
|
Authentication
|
|
IAM Policy Evaluation
|
|
Authorization
|
|
AWS Resource Access
Example:
Developer wants to create an S3 bucket.
Flow:
Developer Login
|
|
IAM verifies identity
|
|
Checks attached policies
|
|
Allow/Deny request
|
|
Create S3 Bucket
🛡️ Principle of Least Privilege
One of the most important AWS security principles.
Meaning:
Give users only the permissions they actually need.
Example:
A developer only needs:
Read + Write access to S3
Do not provide:
Administrator Access
because unnecessary permissions increase security risks.
🚨 IAM Security Best Practices
1. Never Use Root User Daily
Root account should only be used for:
Account setup
Billing configuration
Critical operations
For daily tasks:
Use IAM users.
2. Enable MFA
Multi-Factor Authentication adds an extra security layer.
Example:
Password + Mobile OTP
Even if a password is leaked, attackers cannot access the account easily.
3. Use IAM Roles Instead of Hardcoded Credentials
Avoid:
AWS_ACCESS_KEY=xxxxx
AWS_SECRET_KEY=xxxxx
inside application code.
Use:
Application
|
|
IAM Role
|
|
AWS Services
4. Regularly Review Permissions
Remove:
Unused users
Old access keys
Unnecessary permissions
🧪 Practical Implementation Explained
Creating IAM User
Steps:
AWS Console
|
IAM Service
|
Users
|
Create User
Provide:
Username
Access type
Permissions
Example: Developer Access Scenario
Company requirement:
A developer needs access to S3.
Without IAM:
Share AWS Root Credentials
Problem:
❌ No tracking
❌ Security risk
❌ Complete account access
With IAM:
Create user:
Developer Rahul
Attach policy:
AmazonS3FullAccess
Now:
Rahul can:
✅ Create buckets
✅ Upload files
✅ Manage objects
But cannot:
❌ Delete EC2 instances
❌ Modify IAM users
🌎 Real-World DevOps Scenario
Scenario:
A company has multiple teams:
Organization
├── Developers
├── QA Engineers
├── DevOps Team
└── Security Team
Each team requires different permissions.
Solution:
IAM Groups
Developer Group
|
└── EC2 + S3 Access
QA Group
|
└── Testing Environment Access
DevOps Group
|
└── Full Infrastructure Access
This provides:
✅ Better security
✅ Easy management
✅ Clear responsibility
🔥 IAM in DevOps Real World
DevOps engineers use IAM for:
CI/CD Pipelines
Example:
Jenkins needs permission to deploy applications.
Solution:
Jenkins
|
IAM Role
|
AWS Deployment Permissions
Kubernetes / EKS
Applications running inside Kubernetes need AWS access.
Solution:
Pod
|
IAM Role
|
AWS Services
Infrastructure Automation
Tools like:
Terraform
Ansible
CloudFormation
use IAM permissions to create and manage AWS resources.
📌 Important AWS IAM Interview Questions
Q1. What is AWS IAM?
Answer:
AWS IAM is a security service that helps manage users, permissions, and access control for AWS resources.
It provides authentication and authorization to securely manage AWS services.
Q2. Difference between IAM User and IAM Role?
| IAM User |
IAM Role |
| Permanent identity |
Temporary identity |
| Has username/password |
No password |
| Used by humans |
Used by applications/services |
| Long-term credentials |
Temporary credentials |
Q3. What is an IAM Policy?
Answer:
IAM Policy is a JSON document that defines permissions.
It specifies:
Q4. Why should we not use AWS Root User?
Answer:
Root user has unlimited permissions.
Using it daily increases security risks.
AWS recommends creating IAM users with limited permissions.
Q5. What is the Principle of Least Privilege?
Answer:
It means providing only the minimum permissions required to complete a task.
Example:
A developer who only needs S3 access should not receive administrator permissions.
🎯 Key Takeaways
✅ IAM manages AWS access securely
✅ Authentication verifies identity
✅ Authorization controls permissions
✅ Users represent individuals
✅ Groups simplify permission management
✅ Policies define access rules
✅ Roles provide temporary permissions
✅ Always follow least privilege security practices
☁️ AWS EC2 Deep Dive | Launch Your First Cloud Server & Deploy Jenkins 🚀
🚀 Introduction to Amazon EC2
Amazon EC2 (Elastic Compute Cloud) is one of the most important services in AWS that provides virtual servers in the cloud.
In simple words:
EC2 allows you to create and manage virtual machines on AWS without purchasing or maintaining physical hardware.
Instead of buying a physical server:
Traditional Infrastructure:
Company
|
|
Physical Server
|
|
Application
AWS provides:
AWS Cloud:
User
|
|
EC2 Instance (Virtual Server)
|
|
Application
With EC2, you can:
✅ Launch servers within minutes
✅ Choose CPU, memory, and storage according to requirements
✅ Scale resources whenever needed
✅ Pay only for what you use
🤔 Why Do We Need EC2?
Before cloud computing, organizations had to:
Buy physical servers
Setup data centers
Maintain hardware
Manage networking
Handle server failures
Problems:
❌ High infrastructure cost
❌ Long setup time
❌ Difficult scaling
❌ Hardware maintenance overhead
AWS EC2 solves these problems:
✅ On-demand servers
✅ Flexible pricing
✅ Easy scaling
✅ Global availability
⚡ What Does "Elastic" Mean in EC2?
The word Elastic means the ability to increase or decrease resources based on requirements.
Example:
An e-commerce website during normal days:
Users: 10,000
Required:
2 EC2 Instances
During a festival sale:
Users: 1,00,000
Required:
20 EC2 Instances
EC2 allows organizations to scale resources according to traffic.
Benefits:
✅ Better performance
✅ Reduced cost
✅ High availability
🏗️ EC2 Instance Architecture
An EC2 instance contains:
EC2 Instance
+-------------------+
| Operating System |
| Ubuntu / Linux |
+-------------------+
| Application |
| Jenkins |
+-------------------+
| CPU |
| Memory |
| Storage |
+-------------------+
🧩 Important EC2 Components
1. Amazon Machine Image (AMI)
AMI is a template used to create EC2 instances.
It contains:
Operating System
Software configuration
Required settings
Examples:
Ubuntu AMI
Amazon Linux AMI
Windows Server AMI
When launching an EC2 instance:
AMI
|
|
Creates
|
|
EC2 Instance
2. Instance Type
Instance type defines the hardware configuration of an EC2 machine.
It decides:
CPU power
Memory
Network performance
Storage capability
Example:
t2.micro
CPU:
1 vCPU
Memory:
1 GB RAM
🖥️ EC2 Instance Types
AWS provides different instance families.
1. General Purpose Instances
Balanced CPU, memory, and networking.
Used for:
Web servers
Development environments
Testing
Examples:
t2.micro
t3.medium
Beginner projects usually use:
t2.micro
because it is suitable for learning.
2. Compute Optimized Instances
Designed for CPU-intensive workloads.
Used for:
Gaming servers
Scientific calculations
Batch processing
Example:
C Series
3. Memory Optimized Instances
Designed for applications requiring high memory.
Used for:
Databases
Big data applications
Cache systems
Example:
R Series
4. Storage Optimized Instances
Designed for high-speed storage.
Used for:
Data processing
Large databases
Analytics workloads
5. Accelerated Computing Instances
Uses GPUs for heavy processing.
Used for:
Machine learning
AI workloads
Video processing
🌎 AWS Regions and Availability Zones
What is an AWS Region?
A Region is a geographical location where AWS has data centers.
Examples:
Asia Pacific (Mumbai)
US East (North Virginia)
Europe (Ireland)
What is an Availability Zone?
Availability Zone (AZ) is an isolated data center inside a region.
Example:
Mumbai Region
|
|
+--- Availability Zone A
|
+--- Availability Zone B
|
+--- Availability Zone C
Benefits:
✅ High availability
✅ Disaster recovery
✅ Low latency
🔐 EC2 Security
Security is managed using:
Security Groups
A Security Group acts like a virtual firewall.
It controls:
Incoming traffic
Outgoing traffic
Example:
Default:
SSH Port 22
Blocked
Allow:
Port 22 → SSH Access
Port 8080 → Jenkins Access
Port 80 → Website Access
🔑 Key Pair in EC2
AWS uses key pairs for secure authentication.
A key pair contains:
Public Key
+
Private Key (.pem file)
Example:
jenkins-key.pem
Used for SSH login.
🔗 Connecting to EC2 Using SSH
Command:
ssh -i jenkins-key.pem ubuntu@<public-ip>
Before connecting:
Change permission:
chmod 600 jenkins-key.pem
Why?
Because AWS requires private keys to be accessible only by the owner.
🚀 Practical Project: Deploy Jenkins on AWS EC2
Now let's deploy Jenkins on an EC2 instance.
Architecture:
Developer
|
|
AWS EC2 Instance
|
|
Ubuntu Server
|
|
Jenkins Application
|
|
CI/CD Pipeline
Step 1: Launch EC2 Instance
Configuration:
AMI:
Ubuntu
Instance Type:
t2.micro
Storage:
Default
Security Group:
SSH - Port 22
Custom TCP - Port 8080
Step 2: Connect to EC2
Using SSH:
ssh -i key.pem ubuntu@public-ip
Successful login:
ubuntu@ip-172-xx-xx
Now we are inside our cloud server.
Step 3: Update System Packages
Run:
sudo apt update
Why?
To get the latest package information.
Step 4: Install Java
Jenkins requires Java.
Install:
sudo apt install openjdk-17-jdk
Verify:
java -version
Output:
openjdk version 17
Step 5: Install Jenkins
Add Jenkins repository:
curl -fsSL https://pkg.jenkins.io/debian-stable/jenkins.io.key | sudo tee \
/usr/share/keyrings/jenkins-keyring.asc
Install Jenkins:
sudo apt install jenkins
Start Jenkins:
sudo systemctl start jenkins
Enable on startup:
sudo systemctl enable jenkins
Check status:
sudo systemctl status jenkins
Jenkins runs on:
Port 8080
Allow inbound traffic:
Custom TCP
Port:
8080
Source:
0.0.0.0/0
Now Jenkins can be accessed externally.
Step 7: Access Jenkins Dashboard
Open browser:
http://<EC2-Public-IP>:8080
Example:
http://13.xx.xx.xx:8080
Jenkins login page appears.
🔑 Get Jenkins Initial Password
Run:
sudo cat /var/lib/jenkins/secrets/initialAdminPassword
Copy password and complete setup.
🌍 Real-World DevOps Scenario
Scenario:
A company wants to automate application deployment.
Previously:
Developer
Manual Deployment
Production Server
Problems:
❌ Slow deployment
❌ Human errors
❌ No automation
Solution:
Developer
|
|
GitHub
|
|
Jenkins on EC2
|
|
Build + Test + Deploy
|
|
Production
Benefits:
✅ Automated deployments
✅ Faster releases
✅ Better reliability
🏢 How Companies Use EC2?
EC2 is commonly used for:
Web Applications
Example:
Frontend
Backend API
Database
CI/CD Servers
Tools:
Jenkins
GitLab Runner
GitHub Actions Runner
Development Servers
Developers create temporary environments for testing.
Running:
Prometheus
Grafana
ELK Stack
📌 Important EC2 Commands
Check server information:
uname -a
Check disk:
df -h
Check memory:
free -h
Check running services:
systemctl status
Install packages:
sudo apt install <package>
🎯 EC2 Interview Questions
Q1. What is Amazon EC2?
Answer:
Amazon EC2 is a cloud computing service that provides scalable virtual servers in AWS.
It allows users to run applications without managing physical infrastructure.
Q2. What is the difference between Region and Availability Zone?
Answer:
Region is a geographical AWS location.
Availability Zone is an isolated data center inside a region.
Example:
Mumbai Region
AZ-A
AZ-B
AZ-C
Q3. What is Security Group in EC2?
Answer:
Security Group is a virtual firewall that controls inbound and outbound traffic for EC2 instances.
Q4. Why do we use Key Pair in EC2?
Answer:
Key pairs provide secure SSH authentication without using passwords.
Q5. How do you access Jenkins deployed on EC2?
Answer:
Jenkins runs on port 8080.
We allow port 8080 in Security Group and access:
http://EC2-Public-IP:8080
🚀 Key Takeaways
✅ EC2 provides virtual servers in AWS
✅ Elasticity allows scaling resources
✅ Instance types decide performance
✅ Regions and AZs provide availability
✅ Security Groups protect servers
✅ Key pairs provide secure access
✅ Jenkins can be deployed easily on EC2
✅ EC2 is one of the most important AWS services for DevOps engineers
🚀 Continue Your Learning Journey
Thank you for taking the time to read this article.
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Hritik Ranjan
💡 AI Enthusiast ☁️ DevOps Learner 🔐 Cybersecurity Advocate 💻 Software Developer
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