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Amazon Web Services

Amazon Web Services (AWS) provides cloud infrastructure, databases, analytics, developer tools, security, AI, machine learning and business applications through a global pay-as-you-go platform.

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Page last updated
22 August 2026
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About Amazon Web Services

Amazon Web Services (AWS) is Amazon's cloud computing business. AWS began offering cloud infrastructure services in 2006 and today provides a broad portfolio spanning compute, storage, databases, networking, analytics, developer tooling, security, artificial intelligence, machine learning, business applications and industry-specific services. Amazon Web Services, Inc. is the U.S. AWS contracting entity for many customers and publishes its address at 410 Terry Avenue North, Seattle, Washington 98109-5210. AWS operates as a major segment of Amazon.com, Inc. rather than as a separately listed public company. For the quarter ended June 30, 2026, Amazon reported AWS segment net sales of $42.2 billion, up 37% year over year, and AWS operating income of $16.6 billion. Amazon said that pace represented AWS's fastest year-over-year growth in 18 quarters and an annualized revenue run rate of about $169 billion. The business model differs from a conventional seat-based software subscription. Most AWS services are consumption based, with charges tied to resources such as compute time, storage, requests, network transfer, database capacity, model tokens or specialized infrastructure. AWS also offers Savings Plans, reservations, free-tier programs, private pricing and enterprise agreements. This gives buyers flexibility but makes architecture and cost management central procurement concerns. AWS's product strategy is built around a broad service catalogue rather than one monolithic application. Its June 2026 overview states that more than 200 services are available across compute, storage, databases, analytics, networking, security, management, developer tools and enterprise applications. The platform also increasingly emphasizes generative AI and agents through Amazon Bedrock, Amazon Bedrock AgentCore, Amazon Nova, Amazon SageMaker AI and related services. Global infrastructure is part of the company's value proposition and a major buyer consideration. AWS currently states that its cloud spans 39 geographic Regions and more than 120 Availability Zones, with additional Regions and Availability Zones announced. Regions are isolated geographic areas and most contain multiple Availability Zones, allowing customers to design workloads for resilience, regulatory requirements and latency. Service availability, pricing and some features can differ by Region. Security and compliance are shared responsibilities rather than features a buyer can assume are handled automatically. AWS provides identity, encryption, logging, network controls, compliance programs and specialized security services, while customers remain responsible for how they configure workloads, data access and application controls. Organizations adopting AWS broadly should plan identity architecture, account structure, logging, incident response, data residency, backup, cost controls and governance before large-scale migration. AWS is particularly strong for organizations that need a large range of infrastructure and managed services under one provider, want global deployment choices, or expect to combine traditional cloud workloads with data and AI services. The trade-off is complexity. A broad AWS estate can involve many service-specific pricing models, IAM policies, Regions, networking decisions and operational dependencies. Buyers should compare total architecture cost, internal cloud skills, support requirements and lock-in risk rather than choosing solely on individual service pricing. This company profile stays focused on AWS as the vendor and operating business. Portfolio structure belongs on the AWS brand page, while detailed capabilities, pricing and alternatives for individual services belong on their respective product pages.

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Amazon Bedrock

Amazon Bedrock is AWS's managed generative AI platform for accessing foundation models, building AI applications, grounding models with enterprise data, applying guardrails and developing production agents.

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