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    Capital One Cafe
    How Capital One Reduced its Data-Center Footprint, Expanded its Use of Microservices, and Reimagined Banking Using AWS

    How did Capital One get to the point where, in 2015, it announced that all new company applications would run in—and all existing applications would be systematically rearchitected for—the cloud? Although Capital One, a technology company that offers financial services, is different in important ways from other companies in its industry, its path to the AWS Cloud and its cloud-first approach to software development offers useful tips for large, non-cloud-native, highly-regulated enterprises mapping out their own cloud journeys.

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    Peloton relies on AWS to power its on-demand, live leaderboard. Learn More>>

    Cerner chose AWS to power its machine learning and artificial intelligence. Learn More>>

    Expedia is all in on AWS, with plans to migrate 80 percent of its mission-critical apps. Learn more »

    Atlassian uses AWS to scale its issue-tracking software applications and enhance its disaster recovery and availability. Learn more »

    • Enterprises

    • Startups

    • Public Sector

    • Big Data

      Collect and process colossal amounts of data quickly and cost-efficiently.

      Financial Industry Regulatory Authority

      FINRA uses AWS to capture, analyze, and store a daily influx of 75 billion records.


      Unilever uses AWS to launch and analyze digital marketing campaigns faster.

      The Kellogg Company

      Kellogg's uses AWS to to deliver spend analyses and data simulations in minutes.

    • Data Center Migration

      Migrate your on-premises workloads to AWS.


      Using AWS, AOL has been able to move mission-critical workloads to the cloud, extend its global reach, and save millions of dollars on energy resources.

      Conde Nast

      In just three months, Condé Nast was able to migrate over 500 servers, one petabyte of storage, various mission critical applications, and over 100 database servers into the AWS Cloud.


      Using AWS, InfoSpace migrated its full data center within 6 months and can now easily manage its Microsoft stack on AWS.

    • Enterprise Solutions

      Run common and custom business applications securely and reliably.

      General Electric

      GE is migrating more than 9,000 workloads, including 300 disparate ERP systems, to AWS while reducing its datacenter footprint.

      Brooks Brothers

      Brooks Brothers runs its SAP and CRM solutions on AWS, gaining agility and cost savings.


      Intuit is saving money by moving its business applications to AWS.

    • Financial Services

      Accelerate agility, enable innovation, and protect sentitive data.

      Pacific Life Insurance

      Pacific Life uses AWS as part of a hybrid computing environment to control IT costs.


      Nasdaq delivers data on demand cost-effectively using AWS.


      Robinhood built its brokerage trading platform and a massively scalable securities trading app on AWS.

    • Healthcare & Life Sciences

      Enable agile research, collaboration, product development, and sales.

      Centers for Disease Control

      Using AWS, the CDC shares health information widely while avoiding hardware investments.

      Siemens Healthcare Diagnostics

      Siemens has built a secure, HIPAA-compliant, scalable platform on AWS.

      Brisol-Myers Squibb

      BMS used AWS to build a frugal, secure, self-provisioning research portal.

    • Internet of Things (IoT)

      Easily and securely connect devices to the cloud.


      Enel is saving on compute and storage costs, reduced provisioning time, and has transformed its business.


      Rachio processes millions of IoT messages daily and has cut development costs by 40 percent using AWS. 


      iRobot uses AWS to support its vision for products used in connected homes, including its popular Roomba vacuum cleaners.

    • Machine Learning (ML) & Artificial Intelligence (AI)

      Machine Learning in the hands of every developer and data scientist.

      Capital One

      Using AWS, Capital One turns data into insights through machine learning, allowing the company to innovate quickly on behalf of its customers.


      Intuit uses Amazon SageMaker to train its machine-learning models quickly and at scale, cutting the time needed to deploy the models by 90 percent.

      Formula 1

      Formula 1 uses Amazon SageMaker to analyze race data in real time, then shares the insights with television viewers.


    • Web & Mobile Apps

      Build and scale high-performance websites and mobile applications.


      Pinterest uses AWS to manage multiple petabytes of data and perform daily refreshes of its massive search index.


      Airbnb's web and mobile apps run on AWS and scale automatically to support demand.


      Spotify uses AWS's scalable IT to support usage peaks and can launch new features faster.

    Discover what customers are doing with AWS today

    • Amazon Prime Video DynamoDB Case Study

      Amazon migrated its Item Master Service from Oracle to Amazon DynamoDB to improve availability and scalability, reduce the operational burden, and improve utilization. Amazon is the world’s leading online retailer and provides a wide range of cloud services through its Amazon Web Services (AWS) division. The company used AWS Database Migration Service to migrate 150 TB of data in just two months with zero downtime, and now relies on Amazon DynamoDB to process more than five billion catalog updates every day without significant manual effort.

    • Engie Case Study

      As an international energy provider, ENGIE structures its activities around the three key sectors of electricity, natural gas, and energy services. With 150,000 employees in more than 70 countries around the world, ENGIE provides its customers with high-technology solutions in response to their needs to meet the energy challenges of tomorrow. ENGIE is committed to responsible growth of its businesses in response to the central challenges of the transition toward a low-carbon economy, including providing access to sustainably-generated energy, combating and reducing the effects of climate change, and making responsible use of natural resources.

    • Desire2Learn Case Study

      D2L relies on AWS to ensure high availability for educational applications used by millions of learners, to protect student data, and to spin up dev and test environments in minutes. Based in Canada, D2L provides leading learning-management systems for schools worldwide. The organization runs its Brightspace Learning Environment and other key applications on AWS.

    • Modjoul Case Study

      Modjoul uses AWS to provide safety data to customers five times faster, process data from thousands of safety belts in near-real time, and help customers ensure their employees are safe. The organization seeks to improve companies’ safety records by providing data and actionable insights to eliminate employee injuries. Modjoul uses the AWS IoT Platform to transmit data from thousands of its SmartBelt devices to the AWS Cloud.

    • Amazon Database Migration Case Study

      Amazon migrated 5,000 databases from Oracle to AWS, cutting its annual database operating costs by more than half and reducing the latency of most critical services by 40 percent. Amazon is the world’s leading online retailer and provides a wide range of cloud services through its Amazon Web Services (AWS) division. For databases supporting critical services and requiring high availability, Amazon is using Amazon DynamoDB and Amazon Aurora; for noncritical services, Amazon RDS for PostgreSQL and MySQL; and for inexpensive, long-term storage of relational and non-relational data, Amazon S3.

    • Mikros Case Study

      Mikros Image produces animations in under 20 months, spins up 2,000 nodes in less than two minutes, and iterates three times faster using AWS. The company is a visual-effects and animation studio that produces feature films and television shows worldwide. Mikros used the AWS Cloud to support its animation-rendering work for the feature film Sherlock Gnomes.

    • AWS Case Study: Woongjin Thinkbig

      Woongjin Thinkbig is a specialized educational service company that provides digital educational and cultural content. The organization recently launched a customized learning service built using artificial intelligence and an integrated data-analytics platform. The organization used Amazon Kinesis and Amazon EMR to analyze large data sets and provide meaningful results to customers.

    • White Ops Case Study

      White Ops uses AWS to process one million queries per second, double its business growth, and help customers identify and stop ad fraud. The organization protects digital advertisers and web app owners from ad fraud and other automated threats. To support its mission of eliminating cybercrime, White Ops runs its solutions—including the MediaGuard real-time predictive API—using Amazon EC2 and Amazon EMR.

    • Pentair Case Study

      Pentair increases beer filtration system performance by 10 percent, reduces costs, and increases predictability for filtration processes. The company is a global provider of water filtration systems equipped with sensors to breweries, fish farms, and other industrial and commercial customers. Pentair runs its beer membrane filtration system on AWS IoT, taking advantage of AWS Greengrass to ensure location data connections are not lost and using AWS IoT Core to process data from remote facilities.

    • easyJet Case Study

      easyJet uses AWS to handle more than 900,000 bookings per hour while optimizing costs and creating better traveler experiences for 90 million passengers per year.

    Ready to get started building and scaling your startup on AWS?

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