| cloud size | actual Ram | actual hard dick | core |
|---|---|---|---|
| d2.2xlarge |
AWS Availability Zone and regions Each Region has at least three Availability Zones
`Region: Its a geographical location in the region.
`Region have 2 or more availability zone. Availability zones are data centers or group of data centers.
Availability Zone: The geography for an Availability Zone is the specific physical location of its infrastructure.
| REGION | Geography |
|---|---|
| us-east-2 | Ohio, United States of America |
| us-east-1 | Virginia, United States of America |
| us-west-1 | Oregon, United States of America |
| ca-central-1 | Canada |
| ca-west-1 | Canada |
| mx-central-1 | Mexico |
There are others in South America( Brazil), Africa, Asia pacific(Hong Kong, japan, India, Singapore, Australia, Malasiya, Thailand), Germany, Middle east, Europe,
| Zone |
|---|
| d2.2xlarge |
Core Services Comparison
| Service Category | AWS | Azure | Key Difference |
|---|---|---|---|
| Compute | EC2, Lambda, ECS | Virtual Machines, Functions | AWS has more instance types. Azure integrates better with Windows. |
| Storage | S3, EBS, Glacier | Blob Storage, Disk Storage | AWS S3 is more feature-rich. Azure has cheaper archive storage. |
| Databases | RDS, DynamoDB, Redshift | SQL Database, Cosmos DB | Azure Cosmos DB offers multi-model support (SQL, MongoDB, Cassandra). |
| Networking | VPC, CloudFront, Route 53 | Virtual Network, Azure CDN | AWS has more advanced networking features. |
| AI/ML | SageMaker, Rekognition | Azure ML, Cognitive Services | Azure has better enterprise AI integration (Power BI, Office 365). |
| DevOps | CodePipeline, ECR | Azure DevOps, ACR | Azure DevOps is more polished for CI/CD. |
Winner: AWS (more services), but Azure excels in hybrid cloud and Microsoft integrations. Winner: Azure (better for Windows-heavy environments), AWS (better for Linux/open-source).
Which One Should You Learn/Use?
Choose AWS if:
✅ You work with startups or Linux-based systems.
✅ Need the broadest range of services.
✅ Focused on AI/ML (SageMaker) or serverless (Lambda).
Choose Azure if:
✅ Your company uses Microsoft 365, Windows, or .NET.
✅ Need hybrid cloud (Azure Arc).
✅ Working in enterprise/government sectors.
- AWS = Best for scalability, startups, and Linux.
- Azure = Best for Microsoft shops, enterprises, and hybrid cloud.
Hybrid Cloud : combines on-premises infrastructure (private cloud) with public cloud services, allowing data and applications to be shared between them.
- Private Cloud: On-premises data centers or private servers (e.g., VMware, OpenStack).
- Public Cloud: AWS, Azure, or Google Cloud.
-
- Orchestration Layer: Tools like Azure Arc, AWS Outposts, or Google Anthos to manage both environments as a single system.
Example
A bank keeps customer data on-premises (for compliance) but runs its website on AWS.
Multi-Cloud: Multi-cloud means using multiple public cloud providers (e.g., AWS + Azure + GCP)
Ex: AWS for AI, Azure for Windows apps, GCP for data analytics, AWS SageMaker for ML + Google BigQuery for analytics
Benefits:
- Void vendor locking
- Backup across multiple cloud.
- Flexibility to choose best provided services for for different requirement.
Real-World Examples
Hybrid Cloud
- Netflix (AWS for streaming, but uses its own CDN).
- Walmart (Azure for e-commerce, on-prem for inventory).
Multi-Cloud
- Spotify (AWS for hosting, Google Cloud for data analytics).
- Twitter (AWS + GCP for redundancy).
6. Tools to Manage Hybrid & Multi-Cloud
| Tool | Purpose |
|---|---|
| Kubernetes | Run containers across clouds (EKS/AKS/GKE). |
| Terraform | Deploy infrastructure on AWS/Azure/GCP. |
| Azure Arc | Manage on-prem + AWS/GCP from Azure. |
| AWS Outposts | Run AWS services in your data center. |
| Google Anthos |