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On this page
  • Overview
  • Core Services
  • Compute
  • Storage
  • Databases
  • Networking
  • DevOps & Management
  • Differences Between AWS, Azure, and Google Cloud
  • 1. Market Position and History
  • 2. Service Philosophy and Strengths
  • 3. Management Interfaces and Tools
  • 4. Architectural Differences
  • 5. Certification and Learning Path
  • Well-Architected Framework
  • Getting Started with AWS
  • Use Cases
  • Related Topics
  • References
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  1. Cloud Platforms

AWS

Amazon Web Services (AWS) - The pioneer of cloud computing offerings

Overview

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully-featured services from data centers globally. Founded in 2006, AWS was the first major cloud computing platform to market, effectively pioneering the industry and maintaining its position as the market leader with approximately 32% market share as of May 2025.

AWS provides infrastructure as a service (IaaS), platform as a service (PaaS), and packaged software as a service (SaaS) offerings that help organizations move faster, lower IT costs, and scale applications.

Core Services

AWS organizes its vast service portfolio into several key categories:

Compute

  • EC2 (Elastic Compute Cloud): Virtual servers in the cloud

  • Lambda: Serverless computing platform

  • ECS/EKS: Container orchestration services

  • Elastic Beanstalk: PaaS for deploying applications

Storage

  • S3 (Simple Storage Service): Object storage

  • EBS (Elastic Block Store): Block storage for EC2

  • EFS (Elastic File System): Managed file storage for EC2

  • Glacier: Low-cost archival storage

Databases

  • RDS: Managed relational database service

  • DynamoDB: Managed NoSQL database

  • ElastiCache: In-memory caching

  • DocumentDB: MongoDB-compatible document database

  • Redshift: Data warehousing

Networking

  • VPC: Virtual Private Cloud

  • Route 53: DNS and domain registration

  • CloudFront: Content Delivery Network (CDN)

  • API Gateway: API creation and management

DevOps & Management

  • CloudFormation: Infrastructure as code

  • CloudWatch: Monitoring and observability

  • AWS Systems Manager: Operations management

  • CodePipeline/CodeBuild/CodeDeploy: CI/CD services

Differences Between AWS, Azure, and Google Cloud

1. Market Position and History

  • AWS: First-mover in cloud computing (2006), largest market share (~32% in 2025)

  • Azure: Microsoft's cloud platform (2010), second largest (~22% in 2025), strongest enterprise integration

  • Google Cloud: Later entrant focusing on data analytics and AI (2011), third largest (~10% in 2025)

2. Service Philosophy and Strengths

AWS

  • Breadth of Services: Offers the most extensive range of services and features

  • Global Infrastructure: Largest global footprint with most regions and availability zones

  • Maturity: Most mature service offerings with proven track records

  • Open Source Approach: Strong support for open source technologies

Azure

  • Enterprise Integration: Seamless integration with Microsoft's enterprise software (Windows Server, Active Directory, etc.)

  • Hybrid Cloud: Strong hybrid cloud capabilities with Azure Stack and Arc

  • Microsoft Ecosystem: Deep integration with Microsoft tools (.NET, Visual Studio, etc.)

  • Enterprise Agreements: Leveraging existing Microsoft EA agreements

Google Cloud

  • Data Analytics & AI: Superior offerings in big data, analytics, and machine learning

  • Network Performance: Built on Google's high-performance global network

  • Kubernetes: Native platform as Kubernetes originator

  • Pricing Model: Innovative pricing with sustained use discounts

3. Management Interfaces and Tools

  • AWS: AWS Management Console, CLI, CloudFormation (IaC)

  • Azure: Azure Portal, CLI, PowerShell, Azure Resource Manager (ARM), Bicep

  • Google Cloud: Google Cloud Console, gcloud CLI, Cloud Deployment Manager

4. Architectural Differences

  • AWS: Service-centric approach with thousands of individual services

  • Azure: More integrated platform with solutions built around Microsoft ecosystem

  • Google Cloud: Platform-focused with emphasis on containerization and serverless

5. Certification and Learning Path

  • AWS: Most recognized certification program with specialized paths

  • Azure: Strong enterprise-focused certification path

  • Google Cloud: More specialized certifications around data and ML/AI

Well-Architected Framework

AWS provides the Well-Architected Framework, a set of best practices for building secure, high-performing, resilient, and efficient infrastructure. It is organized around six pillars:

  1. Operational Excellence

  2. Security

  3. Reliability

  4. Performance Efficiency

  5. Cost Optimization

  6. Sustainability

Getting Started with AWS

For organizations new to AWS, consider:

  • AWS Free Tier: Experiment with many AWS services for free (within limits)

  • AWS Training and Certification: Official learning paths

  • Well-Architected Tool: Review your architectures against best practices

  • AWS Solutions Architects: Engage with AWS experts for guidance

Use Cases

AWS is particularly well-suited for:

  • Startups: Rapid scaling without upfront investment

  • Large-Scale Web Applications: High availability and global distribution

  • Enterprise Workloads: Migration of legacy applications

  • Big Data Processing: With services like EMR, Redshift, and Athena

  • Disaster Recovery: Geographic redundancy and backup solutions

Related Topics

References

PreviousTips & TricksNextAuthentication

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- Managing access to AWS resources

- Implementation recommendations

- Managing AWS with Terraform

- Regulatory frameworks for AWS

- SRE implementation for AWS

☁️
AWS Authentication
AWS Best Practices
Terraform AWS Scenarios
Cloud Compliance
AWS VM Log Monitoring
AWS Official Documentation
AWS Architecture Center
AWS Well-Architected Framework