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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.

      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

      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

      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.

      PhotoVogue

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

    Discover what customers are doing with AWS today

    • Autodesk EC2 Spot Instances Case Study

      Autodesk creates design software that requires significant compute capacity for rendering. For Autodesk, the Rendering-as-a-Service (RaaS) workload was its single largest when measured by total spend. The company now relies on Amazon EC2 Spot Instances for significant cost savings on its RaaS function.

    • Pratilipi-Case-Study

      Startup Pratilipi attracts more than six million monthly active users, with its nine-person engineering team conducting 4,500 code deployments in a year after migrating to microservices on AWS. Pratilipi operates a storytelling platform for users to upload books, short stories, and essays written in India’s multiple official languages. The company uses Amazon ECS to orchestrate its microservices and Amazon Kinesis to collate user data, which is stored in a data lake built using Amazon S3.

    • MilesWeb-Case-Study

      MilesWeb migrated its websites to AWS—reducing latency by 30 percent and management costs by 30 percent. MilesWeb hosts websites for more than 10,000 customers around the world. The websites run on Amazon Lightsail and Amazon EC2 M5 Instances that includes static IP addresses, server monitoring, solid-state disk block storage, and firewall protection.

    • Karza-Case-Study

      Karza Technologies has reduced its IT costs by migrating from its existing CSP to AWS and adopting AWS Lambda. Karza Technologies helps financial institutions screen counterparties more effectively. The company runs its big-data databases like Hadoop, Amazon Elasticsearch, Cassandra and JanusGraph on Amazon EC2, and uses AWS Lambda and Amazon API Gateway for exposing APIs.

    • GLAM Case Study

      Gardens, Libraries and Museums (GLAM) digitized its collections and reduced storage costs by 50-60 percent and avoided a management cost increase of 13 percent with Amazon Web Services (AWS). GLAM consists of four University museums and the Botanic Garden & Harcourt Arboretum. It has created a digital record of its collections, which it stores in Amazon S3 via the AWS Storage Gateway and retains the data long-term in Amazon Glacier.

    • The Royal Netherlands Meteorological Institute (KNMI Case Study

      KNMI launches an IT infrastructure in weeks to tackle airborne hazards using AWS. KNMI is the Dutch national weather service and a partner in the EUNADICS-AV project, whose goal is to make data on airborne hazards, like volcanic eruptions, easily available to airlines. KNMI is using AWS Lambda to run code for processing atmospheric data and Amazon DynamoDB for storing file metadata.

       

    • AWS Case Study: JobAdder

      By migrating to the AWS Cloud, JobAdder has saved more than 50 percent on document storage costs and increased the rate of product releases by fourfold. JobAdder is an Australian independent software vendor offering recruiting software that simplifies hiring by automating low-value-added tasks. The company uses Amazon S3 to store 4 TB of documents, AWS Lambda to perform serverless operations such as scanning such documents for malware, and Amazon SNS to support its event-driven architecture.

    • Maryland Department of Human Services Case Study

      The Maryland Department of Human Services (DHS) uses AWS to host a new social services delivery platform that drives cross-agency collaboration, improves service delivery to state residents, ensures data integrity, and reduces costs. The organization, through its 24 local departments of social services, provides critical services to more than 2 million residents annually. DHS uses services including Amazon EC2 and Amazon ECS to build and host MD THINK, a secure human services platform.

    • AWS Case Study - Neat

      Neat is complying with Hong Kong financial regulations by keeping customer accounts safe with AWS. The fintech company offers an online alternative to a traditional bank account. The company’s core fintech application is located inside an Amazon VPC and it uses Amazon GuardDuty for threat detection services.

    • AWS Case Study: ST Unitas

      ST Unitas is an EdTech company founded in 2010 with a vision of “removing the gap between the world’s rich and poor through education.” ST Unitas generated around 420 billion KRW (360 million USD) in annual sales in just seven years and has approximately 70 leading brands, including Youngdangi (for standardized English tests such as TOEIC and TOEFL) and Gongdangi (for civil service exams). The company also launched an artificial intelligence (AI)-based education service called STELLA in 2018, which was designed to help each student overcome their learning weaknesses, as well as a knowledge platform called CONECTS. With these, ST Unitas is expanding its services from education to knowledge.

      Taking over the Princeton Review in 2017, one of the top education institutions in the US, ST Unitas is growing into a global EdTech company. To handle the vast amount of video content and education data, the company is using machine learning on AWS. ST Unitas aims to provide services tailored to its customers’ needs through more organized and stable big data management.

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