AWS

Overview

AWS (Amazon Web Services) is the world's largest cloud infrastructure provider, launched by Amazon in 2006. AWS offers over 200 cloud services spanning compute (EC2), storage (S3), databases (RDS/DynamoDB), machine learning (SageMaker), containers (EKS/ECS), serverless (Lambda), and IoT. With 30+ availability regions and 100+ edge locations worldwide, AWS serves customers across all major markets. The AWS Marketplace offers thousands of third-party software solutions for one-click deployment.

AWS's core philosophy is "pay-as-you-go"—converting large-scale infrastructure capital expenditure into elastic variable operating expenditure. This fundamentally changed how enterprises acquire compute resources, shortening from months of procurement to launching servers in minutes in any global region. For teams evaluating selection, AWS's service breadth and global coverage make it an essential benchmark in cloud infrastructure selection.

Key Strengths

• Broadest Global Infrastructure Coverage: 30+ availability regions and 100+ edge locations across 245+ countries and territories. Each region consists of multiple availability zones interconnected by high-bandwidth fiber, providing low-latency, highly redundant infrastructure. This makes AWS the preferred platform for global business deployment. During server selection, AWS's rich instance types (general, compute, memory, storage, GPU) offer flexible configurations for different workloads. Combine with the server benchmark guide for workload validation.
• Most Extensive Cloud Service Ecosystem: 200+ services across IaaS, PaaS, and SaaS. Compute (EC2, ECS/EKS, Lambda, Elastic Beanstalk), storage (S3, EBS, Glacier, FSx), databases (RDS, Aurora, DynamoDB, ElastiCache, Redshift), AI/ML (SageMaker, Bedrock, Rekognition), networking (CloudFront, Route 53, VPC, Direct Connect), and security (IAM, KMS, WAF, GuardDuty). Full SDK/API support for Python, Java, Node.js, Go, .NET, Ruby, with CloudFormation and Terraform for infrastructure-as-code.
• Enterprise Security & Compliance: Over 300 security compliance certifications including SOC 1/2/3, PCI DSS Level 1, ISO 27001/27017/27018, HIPAA, and GDPR—among the most globally. AWS follows a shared responsibility model. For hardening, IAM provides fine-grained permissions, Security Hub unified visibility, GuardDuty continuous threat detection, and CloudTrail API audit logging. See the website security checklist 2026.
• Powerful AI/ML Capabilities: Full-stack AI/ML from infrastructure to model services: SageMaker covers data labeling, training, deployment, and monitoring; Bedrock provides one-stop API access to Anthropic Claude, Stability AI, and Amazon Titan foundation models; Amazon Q offers enterprise generative AI assistant. Deep integration with cloud infrastructure gives AWS a natural platform advantage for AI applications.

Product Ecosystem

Compute Services

EC2 virtual machines, ECS/EKS container services, Lambda serverless functions, and Elastic Beanstalk PaaS, covering compute needs of all scales.

Storage Services

S3 object storage, EBS block storage, Glacier archival storage, and FSx file storage covering the full data lifecycle.

Database Services

RDS managed relational databases, Aurora high-performance MySQL/PostgreSQL-compatible, DynamoDB NoSQL, ElastiCache caching, and Redshift data warehouse.

AI/ML Services

SageMaker ML platform, Bedrock foundation models, Rekognition image/video analysis, Polly speech synthesis, and Lex conversational AI.

Networking & CDN

CloudFront CDN, Route 53 DNS, VPC virtual private cloud, and Direct Connect, coordinated with CDN acceleration for optimal access.

Limitations

• High Service Complexity: The vast product line, billing, and configuration systems have a learning curve for new users and SMBs; some advanced features require dedicated operations expertise.
• Cost Management Challenges: Without budget management and cost optimization, usage-based billing can grow quickly; ongoing cost control practices are needed.
• No Mainland China Regions: AWS has no self-operated regions in mainland China; domestic access latency is high. China-facing businesses should combine local cloud platforms or use compliant access solutions.

Use Cases

• Global Enterprise Applications (★★★★★): Broadcast global coverage for multinational enterprises and global SaaS, e-commerce, and content businesses.
• Data-Intensive & AI/ML Applications (★★★★★): SageMaker, Bedrock, and Redshift product lines suit big data and AI/ML workloads.
• Cloud-Native & Containerized Deployment (★★★★): Mature EKS/ECS and Lambda ecosystem for cloud-native and serverless architectures.
• Startups & Individual Developers (★★★★): Free tier and usage-based billing for low-cost onboarding, ideal for development testing and early projects.
• China-Focused Users (★★): No local regions with high domestic latency; combine local cloud platforms—see the cross-border website guide.

Pricing

AWS offers on-demand, reserved instances, and Savings Plans. The free tier provides 750 hours/month EC2, 5GB S3, and 25GB DynamoDB for one year. See the official site for current prices.

FAQ

• AWS vs Azure/GCP? AWS has the largest market share and broadest service portfolio; Azure integrates well with the Microsoft ecosystem; GCP excels in AI/ML and data analytics. Choose based on business scenarios and existing ecosystems—see the cloud server configuration guide.
• Is it suitable for Chinese users? AWS has no self-operated mainland China regions with high domestic latency. China-facing businesses should combine local cloud platforms or use the Beijing/Ningxia regions (partner-operated) for compliant access—see the cross-border website guide.
• How can new users start at low cost? The free tier offers 750 hours/month EC2, 5GB S3, and more for one year, plus usage-based billing for low-cost validation—see website hosting cost-saving tips.
• Is it easy to deploy WordPress and other apps? Yes. AWS Marketplace offers thousands of one-click applications including WordPress, LAMP, databases, and containers—see shared hosting vs cloud server.