Cloud Computing · AWS vs Azure
AWS vs Azure for Cloud Engineers: A Practical Comparison
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:
- Core service mapping — between AWS and Azure.
- Identity and account structure — differences.
- Networking and tooling — side by side.
- A guide to choosing — which to learn first.
- 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://$BUCKET/"
#!/usr/bin/env bash
# Create a storage account, container and upload a file (Azure)
set -euo pipefail
RG=portfolio-rg
LOC=centralindia
ACCOUNT=portfoliostore$RANDOM
az group create --name "$RG" --location "$LOC"
az storage account create --name "$ACCOUNT" --resource-group "$RG" \
--location "$LOC" --sku Standard_LRS --allow-blob-public-access false
az storage container create --name files --account-name "$ACCOUNT" --auth-mode login
echo "hello" > hello.txt
az storage blob upload --account-name "$ACCOUNT" --container-name files \
--name hello.txt --file hello.txt --auth-mode login
az storage blob list --account-name "$ACCOUNT" --container-name files \
--auth-mode login --output table
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/*"
]
}
]
}
#!/usr/bin/env bash
# Give a user read-only access to blobs in ONE storage account
set -euo pipefail
USER=asha@example.onmicrosoft.com
SCOPE=$(az storage account show --name portfoliostore123 \
--resource-group portfolio-rg --query id --output tsv)
az role assignment create \
--assignee "$USER" \
--role "Storage Blob Data Reader" \
--scope "$SCOPE"
az role assignment list --assignee "$USER" --output table
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"]
}
}
provider "azurerm" {
features {}
}
resource "azurerm_resource_group" "rg" {
name = "portfolio-rg"
location = "centralindia"
}
resource "azurerm_virtual_network" "main" {
name = "portfolio-vnet"
address_space = ["10.0.0.0/16"]
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
}
resource "azurerm_subnet" "private" {
name = "private-subnet"
resource_group_name = azurerm_resource_group.rg.name
virtual_network_name = azurerm_virtual_network.main.name
address_prefixes = ["10.0.1.0/24"]
}
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.
Phase 1 Core concepts: networking, identity, compute, storage
Phase 2 First provider deeply: hands-on labs, one project
Phase 3 Terraform for that provider
Phase 4 Second provider: map services, rebuild the same project
Phase 5 Interview practice: explain both side by side
Concept AWS Azure
Virtual machine EC2 Virtual Machines
Object storage S3 Blob Storage
Private network VPC VNet
Firewall rules Security group NSG
Identity IAM Entra ID + RBAC
Kubernetes EKS AKS
Serverless Lambda Functions
Native IaC CloudFormation Bicep / ARM
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.
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 / 5Pick 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.
SECTION 09Related reads
Classroom & online · Noida
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