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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.


      PhotoVogue uses Amazon API Gateway to boost the user experience up to 90 percent faster.

    Discover what customers are doing with AWS today

    • Elevenia Case Study

      By building its business intelligence (BI) platform on the AWS Cloud, Elevenia has gained the agility required to run real-time analytics and saved nearly $20,000 in monthly fees. Elevenia is a leading customer-to-customer (C2C) e-commerce site based in Indonesia. The company is using Amazon Elastic Container Service and AWS Fargate to automate deployment of containerized applications and Amazon Rekognition to improve image quality on its website.

    • AWS Case Study - Weintek

      Weintek integrates Internet of Things (IoT) capabilities into its HMI service to help customers optimize machine performance. Weintek manufactures human-machine interfaces (HMIs), which allow people to control machine processes and monitor performance through a touchscreen interface. Weintek uses AWS IoT Core to enable the IoT capabilities of HMI and EasyAccess 2.0, with Amazon EC2 instances supporting web and authentication services.

    • FirstGroup Case Study

      By migrating to SAP HANA on AWS, FirstGroup has gained richer insights and encouraged more data analysis among employees. FirstGroup plc is a provider of transport services in the United Kingdom and North America.


    • Verizon Media Case Study - AWS Support

      With brands including Yahoo, HuffPost and TechCrunch, Verizon Media transforms they way people communicate, transact, and stay informed and entertained. Verizon Media saves time, improves agility, and lowers costs thanks to the fast response times, strategic planning programs, and helpful account managers from AWS Support.

    • Siemens Cybersecurity Case Study

      Siemens built an AI-enabled cybersecurity platform on AWS. The company is a global electrification, automation, and digitalization leader. The platform uses Amazon SageMaker to make predictions and act, AWS Glue to extract, transform, and load data, and AWS Lambda to run code in response to events.

    • Siemens IC Case Study

      Siemens built a serverless AWS solution to analyze and reduce power plant alerts. The company provides power, medical, laboratory, and manufacturing solutions. The solution uses AWS Lambda to orchestrate analytics and Amazon DynamoDB to hold the results of analytics processes.

    • Deliveroo Case Study - AWS Support

      AWS Support helped Deliveroo grow quickly.


    • Firefly Learning Case Study

      Delivering its software as a service via the AWS Cloud gives Firefly Learning the ability to onboard schools in one day rather than several weeks, helping students benefit from flexible learning faster. The company’s online learning tool brings together teachers, students, and parents to make learning more effective. Through services such as Amazon RDS and AWS Business Support, Firefly ensures it delivers a consistent user experience with minimal infrastructure management.

    • Sunday Insurance Case Study

      Sunday brings InsurTech to Thailand with the support of AWS—and giving customers lower-cost premiums for a wide range of insurance policies. Sunday applies machine learning to determine risks and delivers highly customized insurance policies. The company runs , an open-source software for data analysis, on Amazon EC2 instances for risk/pricing modeling, and relies on AWS Lambda for executing the machine-learning software code when requests for insurance quotes come in.

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