Amazon Web Services (AWS)
AWS provides a broad set of global cloud-computing products and services that help organizations move faster, reduce IT costs, scale, and build, deploy, and operate applications. Its infrastructure and APIs serve startups, enterprises, governments, developers, and organizations across industries.
At a Glance
- Startups and developers
- Small and medium-sized businesses
- Large enterprises and multinational corporations
- Government and public-sector organizations
- +1 more
AI Tools by Amazon Web Services (AWS)
(9)
Agent Toolkit for AWS
AWS MCP Server and Skills for Agents
Strands Decider
Open Source Agent Decision Model
Strands Agents
AWS Open Source Agent SDK
Alexa AI
Alexa Integration SDK for Developers
Amazon Mechanical Turk
Human Task Crowdsourcing Platform
AgentCore
AWS Bedrock Agent Orchestration
Kiro
Spec Driven AI Dev IDE
Amazon Q Developer
AI Assistant for AWS Developers
AWS Aurora
Cloud Native Relational Database
Discussions
SMYour AI Agent Just Hit a 402: Understanding AWS's New Machine Payment System
AWS just introduced AI Traffic Monetization for AWS WAF, which lets websites charge AI agents before serving them content. It's a way for publishers to recover the cost of AI crawler traffic. The more interesting part a signal of change. For decades, websites assumed requests came from humans. Now r…
Latest News
Amazon QuickSight now integrates with Visier's Vee agent for workforce intelligence
AWS Deadline Cloud now supports custom scripting for job submission workflows
Meta to Deploy Millions of AWS Graviton Cores for Next-Gen AI
AWS Backup expands support for Amazon Aurora PITR to six Regions
Products & Services
Resizable on-demand virtual compute capacity, with a wide range of instance types, operating systems, networking, and purchasing options.
Scalable object storage for data lakes, backups, application data, analytics, and AI workloads.
Managed relational databases plus purpose-built databases such as Aurora, DynamoDB, Neptune, Redshift, and ElastiCache.
Global content delivery and edge services for low-latency delivery of websites, APIs, video, and applications.
Market Position
AWS is the leading hyperscale public-cloud provider by infrastructure-market share and breadth of services, with a first-mover ecosystem, extensive global infrastructure, and the largest catalog of cloud primitives. Its principal competitors are Microsoft Azure and Google Cloud, with Oracle Cloud, IBM Cloud, Alibaba Cloud, and specialized AI/cloud providers also competing in selected workloads. AWS differentiates through service breadth, mature infrastructure, developer ecosystem, partner marketplace, operational scale, and deep enterprise and public-sector adoption, while rivals compete strongly through Microsoft software integration, Google's data/AI strengths, and Oracle's database footprint.
Leadership
Founders
Andy Jassy
Amazon executive who took charge of building the cloud-infrastructure business in 2003 and led AWS from its creation; he later became Amazon CEO.
Chris Pinkham
Amazon engineer and manager who co-wrote the late-2003 internal paper proposing standardized, automated computing infrastructure; he later co-founded Nimbula.
Benjamin Black
Amazon engineer who co-wrote the late-2003 internal paper that articulated the infrastructure-as-a-service concept that became EC2.
Executive Team
Matt Garman
Chief Executive Officer, Amazon Web Services
Amazon veteran and former AWS sales and marketing leader who became AWS CEO in 2024.
Swami Sivasubramanian
Vice President, Agentic AI
Long-time Amazon/AWS executive who has led database, analytics, machine-learning, and AI product organizations and now leads AWS Agentic AI.
Board of Directors
Founding Story
Amazon's retail engineering teams found that internal infrastructure was fragmented and difficult to scale. In 2003, Andy Jassy's team developed an 'Internet OS' vision of reusable infrastructure building blocks; engineers Chris Pinkham and Benjamin Black proposed standardizing and automating that infrastructure and selling it to other companies. Amazon launched S3 in March 2006 and EC2 later that year, making powerful storage and compute available on demand to developers of all sizes.
Business Model
Revenue Model
Usage-based cloud consumption: customers pay for the compute, storage, networking, database, AI, and other services they consume. AWS also monetizes enterprise support, professional services, training/certification, private pricing, committed-use discounts, and AWS Marketplace transactions.
Pricing Tiers
Introductory access for eligible new customers; usage outside free offers is charged at standard rates.
No upfront commitment; customers pay only for services consumed and can stop without termination fees.
Lower prices than On-Demand in exchange for a specified hourly commitment for AWS Compute or Machine Learning.
Reserved Instances, volume discounts, and private pricing are available for qualifying workloads and customers.
Target Markets
- Startups and developers
- Small and medium-sized businesses
- Large enterprises and multinational corporations
- Government and public-sector organizations
- Financial services, healthcare and life sciences, retail, media, gaming, automotive, manufacturing, telecommunications, travel, energy, and education
- Web and mobile application hosting
- Enterprise migration, modernization, hybrid cloud, and disaster recovery
- Data lakes, analytics, data warehousing, and business intelligence
- Machine learning, generative AI, foundation-model applications, and agentic workflows
- Serverless APIs, event-driven systems, and microservices
- Media processing, content delivery, gaming, and real-time applications
- Nissan
- Bayer
- United Airlines
- TUI Group