DevOps help for Cloud Platform Engineers
  • Welcome!
  • Quick Start Guide
  • About Me
  • CV
  • Contribute
  • 🧠DevOps & SRE Foundations
    • DevOps Overview
      • Engineering Fundamentals
      • Implementing DevOps Strategy
      • DevOps Readiness Assessment
      • Lifecycle Management
      • The 12 Factor App
      • Design for Self Healing
      • Incident Management Best Practices (2025)
    • SRE Fundamentals
      • Toil Reduction
      • System Simplicity
      • Real-world Scenarios
        • AWS VM Log Monitoring API
    • Agile Development
      • Team Agreements
        • Definition of Done
        • Definition of Ready
        • Team Manifesto
        • Working Agreement
    • Industry Scenarios
      • Finance and Banking
      • Public Sector (UK/EU)
      • Energy Sector Edge Computing
  • 🛠️DevOps Practices
    • Platform Engineering
    • FinOps
    • Observability
      • Modern Practices
  • 🚀Modern DevOps Practices
    • Infrastructure Testing
    • Modern Development
    • Database DevOps
  • 🛠️Infrastructure as Code (IaC)
    • Terraform
      • Cloud Integrations - Provider-specific implementations
        • Azure Scenarios
          • Azure Authetication
            • Service Principal
            • Service Principal in block
            • Service Principal in env
        • AWS Scenarios
          • AWS Authentication
        • GCP Scenarios
          • GCP Authentication
      • Testing and Validation
        • Unit Testing
        • Integration Testing
        • End-to-End Testing
        • Terratest Guide
      • Best Practices
        • State Management
        • Security
        • Code Organization
        • Performance
      • Tools & Utilities - Enhancing the Terraform workflow
        • Terraform Docs
        • TFLint
        • Checkov
        • Terrascan
      • CI/CD Integration - Automating infrastructure deployment
        • GitHub Actions
        • Azure Pipelines
        • GitLab CI
    • Bicep
      • Getting Started - First steps with Bicep [BEGINNER]
      • Template Specs
      • Best Practices - Guidelines for effective Bicep implementations
      • Modules - Building reusable components [INTERMEDIATE]
      • Examples - Sample implementations for common scenarios
      • Advanced Features
      • CI/CD Integration - Automating Bicep deployments
        • GitHub Actions
        • Azure Pipelines
  • 💰Cost Management & FinOps
    • Cloud Cost Optimization
  • 🐳Containers & Orchestration
    • Containerization Overview
      • Docker
        • Dockerfile Best Practices
        • Docker Compose
      • Kubernetes
        • CLI Tools - Essential command-line utilities
          • Kubectl
          • Kubens
          • Kubectx
        • Core Concepts
        • Components
        • Best Practices
          • Pod Security
          • Security Monitoring
          • Resource Limits
        • Advanced Features - Beyond the basics [ADVANCED]
          • Service Mesh
            • Istio
            • Linkerd
          • Ingress Controllers
            • NGINX
            • Traefik
            • Kong
            • Gloo Edge
            • Contour
        • Tips
          • Status in Pods
          • Resource handling
          • Pod Troubleshooting Commands
        • Enterprise Architecture
        • Health Management
        • Security & Compliance
        • Virtual Clusters
      • OpenShift
  • Service Mesh & Networking
    • Service Mesh Implementation
  • Architecture Patterns
    • Data Mesh
    • Multi-Cloud Networking
    • Disaster Recovery
    • Chaos Engineering
  • Edge Computing
    • Implementation Guide
      • Serverless Edge
      • IoT Edge Patterns
      • Real-Time Processing
      • Edge AI/ML
      • Security Hardening
      • Observability Patterns
      • Network Optimization
      • Storage Patterns
  • 🚀CI/CD & Release Management
    • Continuous Integration
    • Continuous Delivery
      • Deployment Strategies
      • Secrets Management
      • Blue-Green Deployments
      • Deployment Metrics
      • Progressive Delivery
      • Release Management for DevOps/SRE (2025)
  • CI/CD Platforms
    • Tekton
      • Build and Push Container Images
      • Tekton on NixOS Setup
    • Flagger
    • Azure DevOps
      • Pipelines
        • Stages
        • Jobs
        • Steps
        • Templates - Reusable pipeline components
        • Extends
        • Service Connections - External service authentication
        • Best Practices for 2025
        • Agents and Runners
        • Third-Party Integrations
        • Azure DevOps CLI
      • Boards & Work Items
    • GitHub Actions
      • GitHub SecOps: DevSecOps Pipeline
    • GitLab
      • GitLab Runner
  • GitOps
    • GitOps Overview
      • Modern GitOps Practices
      • GitOps Patterns for Multi-Cloud (2025)
      • Flux
        • Progressive Delivery
        • Use GitOps with Flux, GitHub and AKS
  • Source Control
    • Source Control Overview
      • Git Branching Strategies
      • Component Versioning
      • Kubernetes Manifest Versioning
      • GitLab
      • Creating a Fork
      • Naming Branches
      • Pull Requests
      • Integrating LLMs into Source Control Workflows
  • ☁️Cloud Platforms
    • Cloud Strategy
      • AWS to Azure
      • Azure to AWS
      • GCP to Azure
      • AWS to GCP
      • GCP to AWS
    • Landing Zones in Public Clouds
      • AWS Landing Zone
      • GCP Landing Zone
      • Azure Landing Zones
    • Azure
      • Best Practices
        • Azure Best Practices Overview
        • Azure Architecture Best Practices
        • Azure Naming Standards
        • Azure Tags
        • Azure Security Best Practices
      • Services
        • Azure Active Directory (AAD)
        • Azure Monitor
        • Azure Key Vault
        • Azure Service Bus
        • Azure DNS
        • Azure App Service
        • Azure Batch
        • Azure Machine Learning
        • Azure OpenAI Service
        • Azure Cognitive Services
        • Azure Kubernetes Service (AKS)
        • Azure Databricks
        • Azure SQL Database
      • Monitoring
      • Administration Tools - Platform management interfaces
        • Azure PowerShell
        • Azure CLI
      • Tips & Tricks
    • AWS
      • Authentication
      • Best Practices
      • Tips & Tricks
      • Services
        • AWS IAM (Identity and Access Management)
        • Amazon CloudWatch
        • Amazon SNS (Simple Notification Service)
        • Amazon SQS (Simple Queue Service)
        • Amazon Route 53
        • AWS Elastic Beanstalk
        • AWS Batch
        • Amazon SageMaker
        • Amazon Bedrock
        • Amazon Comprehend
    • Google Cloud
      • Services
        • Cloud CDN
        • Cloud DNS
        • Cloud Load Balancing
        • Google Kubernetes Engine (GKE)
        • Cloud Run
        • Artifact Registry
        • Compute Engine
        • Cloud Functions
        • App Engine
        • Cloud Storage
        • Persistent Disk
        • Filestore
        • Cloud SQL
        • Cloud Spanner
        • Firestore
        • Bigtable
        • BigQuery
        • VPC (Virtual Private Cloud)
  • 🔐Security & Compliance
    • DevSecOps Overview
      • DevSecOps Pipeline Security
      • DevSecOps
        • Real-life Examples
        • Scanning & Protection - Automated security tooling
          • Dependency Scanning
          • Credential Scanning
          • Container Security Scanning
          • Static Code Analysis
            • Best Practices
            • Tool Integration Guide
            • Pipeline Configuration
        • CI/CD Security
        • Secrets Rotation
      • Supply Chain Security
        • SLSA Framework
        • Binary Authorization
        • Artifact Signing
      • Security Best Practices
        • Threat Modeling
        • Kubernetes Security
      • SecOps
      • Zero Trust Model
      • Cloud Compliance
        • ISO/IEC 27001:2022
        • ISO 22301:2019
        • PCI DSS
        • CSA STAR
      • Security Frameworks
      • SIEM and SOAR
  • Security Architecture
    • Zero Trust Implementation
      • Identity Management
      • Network Security
      • Access Control
  • 🔍Observability & Monitoring
    • Observability Fundamentals
  • 🧪Testing Strategies
    • Testing Overview
      • Modern Testing Approaches
      • End-to-End Testing
      • Unit Testing
      • Performance Testing
        • Load Testing
      • Fault Injection Testing
      • Integration Testing
      • Smoke Testing
  • 🤖AI Integration
    • AIops Overview
      • Workflow Automation
      • Predictive Analytics
      • Code Quality
  • 🧠AI & LLM Integration
    • Overview
      • Claude
        • Installation Guide
        • Project Guides
        • MCP Server Setup
        • LLM Comparison
      • Ollama
        • Installation Guide
        • Configuration
        • Models and Fine-tuning
        • DevOps Usage
        • Docker Setup
        • GPU Setup
        • Open WebUI
      • Copilot
        • Installation Guide
        • VS Code Integration
        • CLI Usage
      • Gemini
        • Installation Guides - Platform-specific setup
          • Linux Installation
          • WSL Installation
          • NixOS Installation
        • Gemini 2.5 Features
        • Roles and Agents
        • NotebookML Guide
        • Cloud Infrastructure Deployment
        • Summary
  • 💻Development Environment
    • DevOps Tools
      • Pulumi
      • Operating Systems - Development platforms
        • NixOS
          • Install NixOS: PC, Mac, WSL
          • Nix Language Deep Dive
          • Nix Language Fundamentals
            • Nix Functions and Techniques
            • Building Packages with Nix
            • NixOS Configuration Patterns
            • Flakes: The Future of Nix
          • NixOS Generators: Azure & QEMU
        • WSL2
          • Distributions
          • Terminal Setup
      • Editor Environments
      • CLI Tools
        • Azure CLI
        • PowerShell
        • Linux Commands
          • SSH - Secure Shell)
            • SSH Config
            • SSH Port Forwarding
        • Linux Fundametals
        • Cloud init
          • Cloud init examples
        • YAML Tools
          • How to create a k8s yaml file - How to create YAML config
          • YQ the tool
  • 📚Programming Languages
    • Python
    • Go
    • JavaScript/TypeScript
    • Java
    • Rust
  • Platform Engineering
    • Implementation Guide
  • FinOps
    • Implementation Guide
  • AIOps
    • LLMOps Guide
  • Should Learn
    • Should Learn
    • Linux
      • Commands
      • OS
      • Services
    • Terraform
    • Getting Started - Installation and initial setup [BEGINNER]
    • Cloud Integrations
    • Testing and Validation - Ensuring infrastructure quality
      • Unit Testing
      • Integration Testing
      • End-to-End Testing
      • Terratest Guide
    • Best Practices - Production-ready implementation strategies
      • State Management
      • Security
      • Code Organization
      • Performance
    • Tools & Utilities
    • CI/CD Integration
    • Bicep
    • Kubernetes
      • kubectl
    • Ansible
    • Puppet
    • Java
    • Rust
    • Azure CLI
  • 📖Documentation Best Practices
    • Documentation Strategy
      • Project Documentation
      • Release Notes
      • Static Sites
      • Documentation Templates
      • Real-World Examples
  • 📋Reference Materials
    • Glossary
    • Tool Comparison
    • Tool Decision Guides
    • Recommended Reading
    • Troubleshooting Guide
    • Development Setup
Powered by GitBook
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
Edit on GitHub
  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

Last updated 16 days ago

- 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