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  • Siemens-Logo

    Siemens Innovates in Energy, Healthcare, and Manufacturing Using AWS

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    Pioneering Across Industries

    Siemens is a more than 170-year-old company that started with an idea for improving the telegraph machine. Since its founding, the company has become a transformational leader across the energy, healthcare, and manufacturing industries.


    Democratizing Innovation

    Siemens encourages a culture of experimentation to discover new business opportunities and realize untapped customer value. The company uses AWS to adopt more agile development processes, including decentralized development teams, democratized data, and startup-like working methods.


    Continuing a Tradition of Transformation

    Siemens’ cultural transformation has delivered business results. These include bringing industrial IOT to railways and factories, developing intelligent building infrastructure, and using machine learning in its cybersecurity platform.

  • Logo_FICO

    FICO Uses AWS to Innovate Faster, Reduce Costs, and Expand Global Reach

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    Betting Big on the Cloud

    For years, FICO lacked the agility to quickly develop and deploy its solutions to the market. New products sometimes took years to create and deliver. Seeking to focus on implementing software more efficiently, FICO turned to AWS.


    Breaking the Financial High Score

    FICO chose AWS as its cloud provider in part because of its built-in security. AWS also offered the necessary experience to help FICO navigate its increasingly complex regulatory and compliance requirements.


    Investing in Innovation

    Using AWS, FICO can deliver solutions in a matter of hours instead of weeks. FICO developers now have more time to build and enhance products instead of provisioning and managing servers.

  • Peloton_Logo

    Peloton Powers Connected, At-Home Fitness Community Using AWS

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    Transforming Home Fitness

    Peloton was founded in 2012 by a team of five people, and launched on Kickstarter in 2013. The company was born on AWS and delivered its first bike in 2014. In seven years, Peloton has grown to more than 1.4 million members who collectively have ridden hundreds of million of virtual miles.


    Powering Communities at Scale

    Peloton uses AWS to power the leaderboard in its live-streamed and on-demand fitness classes, and it requires high elasticity, low latency, and real-time processing to deliver customizable rider data for the community of more than 1.4 million members riding together from their homes.


    Launching New Features to Serve Members Better

    Using AWS, Peloton can quickly test and launch new features to improve the unique experience of home-based community fitness.

  • Zillow_Logo final

    Zillow Transforms Real Estate Using AWS

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    Growing Demand for Speed and Scale

    When Zillow created its home-valuation tool—Zestimate—nearly 15 years ago, it had to develop an on-premises machine learning framework to process an array of data. But, as its popularity and complexity grew, Zillow needed a better way to deliver Zestimates on nearly 100 million homes across the country.


    Faster, More Dynamic Home Valuations

    Zillow moved its Zestimate framework to AWS, giving it the speed and scale to deliver home valuations in near-real time. The more dynamic valuations better reflect both the unique features of each home and what’s happening in the local housing market, so customers have the latest data as they explore the buying or selling process.


    Reaching Customers at the Market’s Pace

    In hot housing markets, homes can go from listing to offer in just days. Zillow built AWS technologies into its infrastructure to quickly and reliably deliver hundreds of millions of emails each month, keeping customers apprised of the latest listings, home statuses, and more.

  • GE-Logo

    GE Healthcare Helps Detect Critical Conditions Faster Using Machine Learning on AWS

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    A Mission to Improve Lives

    *510(k) pending at US FDA. Not available for sales in the United States.


    Better Care Using Machine Learning

    GE Healthcare uses AWS and Amazon SageMaker to ingest data, store data compliantly, orchestrate curation work across teams, and build machine-learning algorithms.


    Better, Faster Models

    GE Healthcare reduced the time to train its machine-learning models from days to hours, allowing it to deploy models more quickly and continually improve patient care.

  • PI-Epic_Logo_Final
    Epic Games Uses AWS to Power Worldwide Game Fortnite
    Learn how Epic Games uses AWS to deliver Fortnite to more than 200 million players around the world.
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    Building a Foundation on the Cloud

    Epic Games has been using AWS since 2012 and is now all in on the AWS Cloud, running its worldwide game-server fleet, backend platform systems, databases, websites, analytics pipeline, and processing systems on AWS.


    An Overnight Sensation

    In 2017, Epic Games launched Fortnite, a cross-platform, multiplayer game that became an overnight sensation. In its first year, Fortnite’s user base grew by more than 100 times to 200 million players worldwide.


    Pushing the Boundaries of Scale

    AWS is integral to the success of Fortnite. Using AWS, Epic Games hosts in-game events with hundreds of millions of invited users without worrying about capacity, ingests 125 million events per minute into its analytics pipeline, and handles data-warehouse growth of more than 5 PB per month.


    Providing the Best Gaming Experience

    Using AWS, Epic Games is always improving the experience of its players and offering new, exciting games and game elements. The company plans to expand its use of AWS services in the future, including machine learning and containerized services.

  • LN_NewLogo_NoFanMan_RedBorder_R

    Live Nation Entertainment Innovates Faster, Reduces Costs, and Improves Application Availability Using AWS

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    Seeking a Better Customer Experience

    Live Nation is the global leader in live entertainment that produces concerts, sells tickets, and connects brands to music. In 2016 Live Nation announced it was moving its global IT infrastructure to AWS in an effort to deliver better experiences to its customers.


    An Easy Migration

    The company moved 118 applications and 668 servers to AWS within 17 months without adding headcount or budget.


    Business-Changing Benefits

    By moving to AWS, Live Nation has moved from troubleshooting hardware to delivering on innovative ideas that serve its customers better. Since implementation, Live Nation realized a 58-percent reduction in total cost of ownership, supported 10 times as many projects with the same staff, and saw a 99-percent improvement in application availability.


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Engineered for the Most Demanding Requirements









Learn How Our Customers Build on AWS

Global Network of AWS Regions

Global Map 110520

Regions & Number of Availability Zones

US East
N. Virginia (6), Ohio (3)

US West
N. California (3), Oregon (4)

Asia Pacific
Mumbai (3), Seoul (4), Singapore (3), Sydney (3), Tokyo (4), Osaka-Local (1), Hong Kong SAR (3)

Central (3)

South America
São Paulo (3)

Mainland China
Beijing (2), Ningxia (3)

Frankfurt (3), Ireland (3), London (3), Milan (3), Paris (3), Stockholm (3)

GovCloud (US)
US-East (3), US-West (3)

Middle East
Bahrain (3)

Cape Town (3)


New Regions (Coming Soon)







Wavelength Zones

US East
N. Virginia (4)
US West
Oregon (1)
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