In March 2006, AWS launched with a simple but radical idea: give anyone with a credit card and an internet connection access to enterprise-grade information technology on demand, with efficient, pay-as-you-go pricing. No massive upfront investment in hardware and software required. Just technology, on demand, for everyone.

20 years on, we remain pioneers with that founding idea, that technology should be easy to access and in the hands of the customer, still driving everything we do.

Before cloud computing, companies made huge upfront investments in hardware and security, rewrote software to fit proprietary systems, and often found themselves locked into a single vendor for years.

Cloud computing fundamentally changed that. Startups that would’ve needed millions in upfront capital could now launch with a credit card. Businesses could scale up during peak demand and scale down when things were quiet, paying only for what they used. Companies could experiment with new products without betting the business on expensive infrastructure, enter new markets quickly, and pivot when needed.

The impact went beyond individual businesses. Cloud computing put powerful technology within the reach of everyone. A developer in Bangalore could build and deploy applications using the same tools as a team in Silicon Valley. A researcher in São Paulo could access powerful computing resources for data analysis without needing to wait for time in a university computer lab. Small businesses could compete with Fortune 500 companies on technology capabilities.

As customers began building on AWS, they told us what they needed: a diverse array of services, enterprise grade security and performance, and the ability to work across multiple IT environments. We listened. We use open standards, publish our APIs, and make our software development kits available under open source licenses. These were deliberate choices driven by what customers told us they needed: freedom in how they use our services and the ability to move quickly and adapt as their needs change.

Take containers. We embraced Kubernetes—an open source tool originally developed by Google—because our customers told us they wanted that flexibility. That’s the pattern we’ve followed for 20 years: listening to what customers need and building solutions that give them more freedom, not less.

Over the past 20 years, we’ve continuously invested in making it easier for customers to work across multiple IT environments, if they need to.

We’ve eliminated data transfer fees globally for customers who want to move their data to another environment. We’ve invested in migration tools that work regardless of where a customer is moving to or from. And we’ve published detailed documentation on data formats and structures.

We continue to support open source communities including Linux, Kubernetes, PostgreSQL, Apache, and others. For example, Valkey, is an open source, high-performance, in-memory datastore for caching and messaging that AWS helped to launch, and is now backed by the Linux Foundation.

We’ve also built tools and services specifically designed to help customers migrate workloads to AWS, from AWS, or between different environments entirely. These changes are about giving customers the freedom to build on their own terms while maintaining the highest levels of data security and privacy.

We’ve launched more than 240 services and reduced our prices at least 161 times. But what matters most isn’t just the number, quality, and price performance of services, it’s how each innovation creates new possibilities for customers.

Nowhere is this clearer than in AI, where we’ve developed tools that expand access and choice. Amazon Bedrock gives customers access to more than 100 foundation models from dozens of companies—not just Amazon’s own models, but those from Anthropic, Cohere, Meta, Mistral AI, Open AI, and many others. Customers can choose the models that work best for them, switch between them easily, and build applications that help them innovate for their end users.

We’re also embracing industry wide open protocols like the Model Context Protocol (MCP) and Agent-to-Agent (A2A) that make it easier for AI applications to work across different environments. We have developed an AWS MCP Server that gives AI agents and coding assistants secure, authenticated access to all AWS services through a small, fixed set of tools, helping agents complete work faster, using validated best practices, with fewer tokens. We’re members of the MCP steering committee and collaborate with other framework developers because we believe open standards benefit everyone—customers, developers, and the industry.

AWS Interconnect – multicloud enables customers to establish private, resilient, high-speed network connections with dedicated bandwidth between AWS and other cloud environments. We’re starting with Google Cloud and expanding to Microsoft Azure later in 2026, and with one free, local interconnect for each Region, we’re making multi-cloud strategies simpler than ever.

As we mark 20 years of the cloud, we’re excited about what’s ahead. AI is rapidly transforming how customers use technology, creating opportunities for growth and innovation that would have seemed extraordinary when we launched our first storage service, Amazon S3, in 2006.

Today, our global infrastructure spans dozens of regions, delivering enterprise-grade reliability and security that enables organizations to deploy resilient, low-latency applications at scale. Over two decades of operational excellence means our services are engineered for performance, security, and scalability—empowering businesses to move faster, optimize costs, and scale with confidence.

Throughout this journey, one principle has guided us: customers should have the freedom to choose the solutions that work best for them. That means building services that enable customer choice, supporting standards that promote interoperability, and continuously innovating to deliver better value and efficiency.

We’ve been making IT more open and accessible for 20 years. Here’s to 20 more.

Next, find out how Amazon is building AI that takes action in the real world.