Logo Mohammed Ibrahim

Azure vs AWS: Understanding the Constructs and Concepts Across Cloud Providers

Translating Cloud Concepts Between Azure and AWS for Engineers and Architects 🔄

Aug 3, 2025 - 3 minute read
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Azure vs AWS: Understanding the Constructs and Concepts Across Cloud Providers

When working across cloud platforms, it’s common to hit a wall of terminology confusion. Microsoft Azure and Amazon Web Services (AWS) offer similar capabilities—compute, storage, networking, identity, security—but they often use different names, approaches, and abstractions for the same underlying concepts.

For cloud engineers, architects, or DevOps professionals who juggle both environments (or are transitioning from one to the other), understanding these conceptual mappings is essential. In this post, we’ll walk through the key constructs of Azure and AWS side by side, helping you translate your knowledge across platforms.

☁️ Account Hierarchy and Resource Organization

ConceptAzureAWS
Top-level billing/accountAzure Tenant (AAD)AWS Account
Subdivision for resourcesSubscriptionOrganizational Units (OUs) / multiple Accounts
Resource groupingResource GroupTags, CloudFormation stacks
Management across multiple entitiesManagement GroupsAWS Organizations

💻 Compute

ConceptAzureAWS
Virtual MachinesVirtual Machines (VMs)EC2 Instances
Managed containersAzure Container Instances (ACI)AWS Fargate
Container orchestrationAzure Kubernetes Service (AKS)Amazon Elastic Kubernetes Service (EKS)
App hosting (PaaS)App ServiceElastic Beanstalk, App Runner
Serverless computeAzure FunctionsAWS Lambda

📦 Storage

ConceptAzureAWS
Object StorageBlob Storage (Storage Account)S3
File StorageAzure FilesEFS
Disk StorageManaged DisksEBS
Archive StorageCool/Archive Blob TiersS3 Glacier

🔗 Networking

ConceptAzureAWS
Virtual NetworkVirtual Network (VNet)Virtual Private Cloud (VPC)
SubnetsSubnets (inside VNet)Subnets (inside VPC)
Public IPPublic IP ResourceElastic IP
Load BalancerAzure Load Balancer, Application GatewayElastic Load Balancer (ELB)
DNSAzure DNS, Traffic ManagerRoute 53

🔐 Identity and Access Management (IAM)

ConceptAzureAWS
Identity systemAzure Active Directory (AAD)AWS IAM, IAM Identity Center
Role-based accessRole-Based Access Control (RBAC)IAM Policies & Roles
Federated IdentityAAD B2B/B2CCognito, STS
Service identityManaged IdentityIAM Role (EC2 Profile / Task Role)

🛠️ Infrastructure as Code (IaC)

ConceptAzureAWS
Native IaCARM Templates, BicepCloudFormation
Cross-platform IaCTerraform, Pulumi, AnsibleSame
Resource deployment modelDeclarative (ARM/Bicep)Declarative (CloudFormation)

🔍 Monitoring & Observability

ConceptAzureAWS
Metrics & LogsAzure Monitor, Log AnalyticsCloudWatch, CloudTrail
Application performanceApplication InsightsX-Ray, CloudWatch APM
Cost analysisCost Management + BillingCost Explorer, Budgets

🧠 Summary Table: Azure to AWS Translation Cheat Sheet

AzureAWS
TenantAWS Organization
SubscriptionAWS Account
Resource GroupTags / CloudFormation Stack
VMEC2
Blob StorageS3
VNetVPC
App ServiceElastic Beanstalk / App Runner
Azure FunctionsAWS Lambda
Azure ADIAM / Identity Center
Log AnalyticsCloudWatch Logs
Azure MonitorCloudWatch
BicepCloudFormation / CDK

🧭 Final Thoughts

Both Azure and AWS provide robust cloud ecosystems capable of running virtually any workload. The core difference lies in how they abstract and organize their services. Azure tends to favor integrated, centralized constructs with clear hierarchies, while AWS emphasizes modularity, isolation, and flexibility.

For engineers straddling both worlds, it’s not just about mapping service names—it’s about understanding the philosophy behind each platform. Once you internalize that, the clouds stop looking like rivals and start feeling like different dialects of the same powerful language.