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Cloud Computing · AWS vs Azure

AWS vs Azure for Cloud Engineers: A Practical Comparison

AWS and Azure solve the same problems with different names, tools and identity models. This practical comparison maps core services side by side, with working CLI and Terraform examples for both.

Tracks
Service Mapper · Live Interactive
Area
—
Cloud area
Need
—
What you need
Services
—
AWS / Azure
Account → Network → Compute → Storage
Click a cloud area to see how the need maps to AWS and Azure services.

Home / Tutorials / Career Guides / AWS vs Azure for Cloud Engineers: A Practical Comparison

Cloud Computing · AWS vs Azure

AWS vs Azure for Cloud Engineers: A Practical Comparison

SERVICES IDENTITY NETWORK TOOLING Core Services EC2 / VM S3 / Blob Services Identity IAM roles Entra ID, RBAC Identity Networking VPC / VNet SG / NSG Network Tooling AWS CLI / az Terraform both Tooling
AWS and Azure compared across core services, identity, networking and tooling.

Quick summary — AWS vs Azure for cloud engineers

AWS and Azure offer equivalent core services for compute, storage, networking and databases, but differ in naming, account structure and identity: AWS uses IAM within accounts, while Azure uses Entra ID with role-based access across subscriptions and resource groups. Learn one deeply first, guided by your target job listings.

In this guide you will learn:

  1. Core service mapping — between AWS and Azure.
  2. Identity and account structure — differences.
  3. Networking and tooling — side by side.
  4. A guide to choosing — which to learn first.
  5. Interview questions — on multi-cloud basics.

SECTION 01Core services side by side

Most cloud engineering work uses a small set of core services: virtual machines, object storage, managed databases, serverless functions and containers. AWS and Azure both provide all of these. Once you understand the concept behind each service, switching between providers is mostly a matter of learning new names, consoles and command options. Here is a practical mapping:

Need AWS Azure Concept to learn
Virtual machines EC2 Azure Virtual Machines Images, sizes, disks, SSH access
Object storage S3 Blob Storage Buckets / containers, access policies
Managed SQL database RDS Azure SQL Database, Azure Database for PostgreSQL Backups, high availability, private access
Serverless and containers Lambda, EKS Azure Functions, AKS Events, scaling, Kubernetes
#!/usr/bin/env bash
# Create a private storage bucket and upload a file (AWS)
set -euo pipefail
REGION=ap-south-1
BUCKET=example-portfolio-bucket-$RANDOM

aws s3api create-bucket --bucket "$BUCKET" --region "$REGION" \
  --create-bucket-configuration LocationConstraint="$REGION"
aws s3api put-public-access-block --bucket "$BUCKET" \
  --public-access-block-configuration \
  BlockPublicAcls=true,IgnorePublicAcls=true,BlockPublicPolicy=true,RestrictPublicBuckets=true
echo "hello" > hello.txt
aws s3 cp hello.txt "s3://$BUCKET/hello.txt"
aws s3 ls "s3://$BUCKET/"
create_storage.sh
Key insight: Learn the concept first, then the provider's name for it. Interviewers often ask 'what is the Azure equivalent of S3?' to test exactly this.

SECTION 02Identity and account structure

Identity and organisation are where AWS and Azure differ most, and where beginners get confused. AWS organises resources into accounts and controls access with IAM users, roles and policies. Azure organises resources into subscriptions and resource groups, and uses Microsoft Entra ID for identities with role-based access control assigned at different scopes. Understanding these structures is essential before building anything:

Topic AWS Azure What to remember
Top-level structure Organizations and accounts Management groups and subscriptions Both separate billing and access
Grouping resources Tags, separate accounts Resource groups (plus tags) Azure resources must belong to a resource group
Identities IAM users and roles Entra ID users, groups, managed identities Prefer roles / managed identities over keys
Permissions JSON IAM policies RBAC role assignments at a scope Least privilege in both
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "ReadOnlyOneBucket",
      "Effect": "Allow",
      "Action": ["s3:GetObject", "s3:ListBucket"],
      "Resource": [
        "arn:aws:s3:::example-portfolio-bucket",
        "arn:aws:s3:::example-portfolio-bucket/*"
      ]
    }
  ]
}
access
Key insight: In AWS you mostly write policies; in Azure you mostly assign built-in roles at the right scope. The goal, least privilege, is the same.

SECTION 03Networking and tooling

Both providers let you build private networks with subnets, routing and firewall rules, and both support the same infrastructure-as-code tools. Terraform works with both, so many engineers learn Terraform once and then apply it to either provider. Each also has its own native tooling: CloudFormation on AWS and Bicep or ARM templates on Azure. Here is the comparison:

Need AWS Azure Shared concept
Private network VPC with subnets Virtual Network (VNet) with subnets CIDR ranges, public vs private subnets
Firewall rules Security groups, network ACLs Network security groups (NSGs) Allow only needed ports
Native IaC CloudFormation Bicep, ARM templates Declarative templates
Cross-cloud IaC Terraform AWS provider Terraform AzureRM provider Same Terraform workflow
provider "aws" {
  region = "ap-south-1"
}

resource "aws_vpc" "main" {
  cidr_block = "10.0.0.0/16"
  tags = { Name = "portfolio-vpc" }
}

resource "aws_subnet" "private" {
  vpc_id     = aws_vpc.main.id
  cidr_block = "10.0.1.0/24"
  tags = { Name = "private-subnet" }
}

resource "aws_security_group" "web" {
  vpc_id = aws_vpc.main.id
  ingress {
    from_port   = 443
    to_port     = 443
    protocol    = "tcp"
    cidr_blocks = ["0.0.0.0/0"]
  }
}
network.tf
Key insight: The Terraform workflow (init, plan, apply, destroy) is the same for both providers. Only the resource names and arguments change.

SECTION 04Choosing which to learn first

You do not need to learn both at once. Use these templates to decide and plan:

Collect 20 cloud engineer listings in your target city or remote.
Count how many mention:

- AWS only
- Azure only
- Both or 'any major cloud'

Also note: which companies or industries prefer which.
Learn the provider your listings mention most, first.
aws-or-azure.md

SECTION 05Tips for learning AWS and Azure

These habits make multi-cloud learning manageable:

  • Concepts before consoles — learn what a service does before where to click.
  • Go deep in one first — breadth across clouds is easier after depth in one.
  • Use Terraform — one workflow across both providers.
  • Control costs — use free tiers, budgets and delete resources after labs.
  • Keep a mapping sheet — update it as you learn each new service.
Pro tip: Rebuild one small project on both providers and document the differences in the README. It answers multi-cloud interview questions with real proof.

SECTION 06Interview Q&A — AWS and Azure

Q1What is the Azure equivalent of an AWS VPC?

An Azure Virtual Network (VNet). Both provide private address spaces with subnets, routing and firewall rules.

Q2How does identity differ between AWS and Azure?

AWS uses IAM users, roles and JSON policies within accounts. Azure uses Microsoft Entra ID identities with RBAC role assignments at management group, subscription, resource group or resource scope.

Q3What is a resource group in Azure?

A logical container that holds related Azure resources. Every Azure resource belongs to exactly one resource group, which helps with organisation, access and cleanup.

Q4Why might a team use Terraform instead of native IaC tools?

Terraform works across many providers with one language and workflow, which helps teams using multiple clouds or wanting consistent tooling.

Q5Which cloud should a fresher learn first?

The one most requested in their target job listings. Core concepts transfer, so a strong base in one makes learning the other faster.

SECTION 07Test yourself — AWS and Azure quiz

Five questions. No sign-up.

0 / 5

Pick an answer to see why it is right or wrong.

SECTION 08Frequently asked questions

Is AWS or Azure better for cloud engineers?

Neither is better for everyone. Both offer equivalent core services. The right choice depends on the companies and roles you target, so research current listings in your market.

Should I learn AWS or Azure first as a fresher?

Learn the one most requested in your target listings. Core concepts like networking, identity and storage transfer, so the second provider becomes much easier later.

Are AWS and Azure skills transferable?

Yes, largely. Concepts are similar; names, consoles, identity models and some features differ. Terraform also works with both.

Which certification should I take first, AWS or Azure?

Choose the entry-level or associate certification for the provider your target listings mention most, and pair it with hands-on projects.

Do companies use both AWS and Azure?

Some do, for reasons such as existing Microsoft tools, acquisitions or specific services. Many teams mainly use one provider.

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