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    Capital One Cafe
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    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

      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.

      AOL

      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.

      InfoSpace

      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

      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 OMX

      Nasdaq delivers data on demand cost-effectively using AWS.

      Robinhood

      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

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

      Rachio

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

      iRobot

      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.

      DigitalGlobe

      DigitalGlobe uses Amazon SageMaker to handle machine learning at scale.

      Butterfleye

      By combining Butterfleye’s on-camera facial functionality and Amazon Rekognition’s API, the company can identify and tag millions of faces accurately.

      Haptik

      Haptik incorporated Amazon Polly into the Haptik infrastructure. Amazon Polly turns text into lifelike speech. In effect, it lets developers build applications that can talk.  

    • Web & Mobile Apps

      Build and scale high-performance websites and mobile applications.

      Pinterest

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

      Airbnb

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

      Spotify

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

    Discover what customers are doing with AWS today

    • Globe Telecom Case Study

      By migrating the database for a key workload out of Oracle and onto the AWS Cloud, Globe Telecom has freed up 20 processors and 40 cores and will save $1 million in licensing fees. Globe Telecom is the leading provider of mobile and broadband services in the Philippines. The enterprise now runs open-source PostgreSQL using Amazon EC2.

    • Carro Case Study

      Carro is an automotive marketplace and car financing startup based in Singapore, with multiple showrooms across Indonesia, Thailand and Singapore, that leverages AWS for compute, storage and network connectivity. The company uses services such as Amazon Simple Storage Service (S3) and Amazon Relational Database Service (RDS) to store thousands of pictures and over 3TB of information across multiple geographies, which are constantly redundant and scalable. With AWS CloudFront, it is able to deliver website content to its customers in the fastest manner, and AWS Code Pipeline has facilitated continuous integration and continuous delivery services for its customers that translates to continuous deals without any downtime.

    • ViewFin Metaverse Case Study

      With AWS, ViewFin Metaverse is able to build a secure, stable, and dependable blockchain-as-a-service (BaaS) platform to provide blockchain-based digital solutions to customers from a wide range of sectors including finance, business, art, and medical. ViewFin Metaverse is a fintech company focusing on blockchain technologies; its main offerings include Metaverse and Metaverse BaaS. Amazon Web Services used by ViewFin Metaverse include Amazon EC2, Amazon S3, Amazon CloudWatch, Amazon DynamoDB, Amazon RDS, Amazon EMR, Amazon RedShift, Amazon Kinesis, Amazon Kinesis Firehose, Amazon ElastiCache, Amazon Elastic Container Registry (Amazon ECR), AWS IAM, and AWS Developer Support.

    • Prime Video - Boosts Scale and Resilience

      Amazon.com migrated a service that supports Prime Video from Oracle to Amazon Web Services to increase elasticity and reliability while reducing cost. Prime Video is the video-streaming service from Amazon, the world’s leading online retailer. Amazon moved billions of rows of data to Amazon DynamoDB with zero downtime.

    • Amazon Buyer Fraud Case Study

      The Amazon.com Transaction Risk Management Services (TRMS) team migrated 40 TB of data from on-premises Oracle databases to AWS in just six months with only one hour of downtime. TRMS runs the Buyer Fraud Service, which uses machine-learning algorithms to predict and prevent fraudulent transactions on Amazon.com. The TRMS team used a migration stack that included AWS Database Migration Service (DMS) to migrate to a new relational database solution based on PostgreSQL-compatible Amazon Aurora.

    • Amazon Advertising Case Study

      Amazon Advertising Engineering and Development (AED) increased throughput and avoided a three-year project to rebuild performance monitors and management tools by shifting data held in Oracle databases to Amazon RDS. AED builds, manages, and scales the technologies that undergird Amazon's programmatic advertising offerings. The new solution uses PostgreSQL relational databases that are fully managed by Amazon RDS, with Amazon S3 for storing backups.

    • Amazon Items and Offers Case Study

      Amazon migrated its Item Master Service from Oracle to Amazon DynamoDB to improve availability and scalability, reduce operational burden, and improve utilization. Amazon 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.

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