Yony Feng, CTO of Peloton, describes how the in-home fitness company relies on AWS to power its on-demand, live leaderboard. Peloton’s leaderboard requires high elasticity, low latency, and real-time processing to deliver customizable rider data for the community of users riding together virtually from the comfort of their homes.
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 »
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Enterprises
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Startups
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Public Sector
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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Ravensbourne University London Case Study
By using AWS Elemental for its video streaming services, Ravensbourne University has been able to reach a higher number of students with higher satisfaction. Ravensbourne is an innovative, industry-focused university located in the heart of London that specializes in the cross-section between creativity and technology. The university uses AWS as a way to educate their broadcast and television students by streaming both live and recorded content.
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Central Group Case Study
By using AWS, Central Group has been able to reduce time to market from six months to one month and improve agility to develop new offerings for its customers. Central Group is one of the largest retail companies in Thailand, with a variety of diverse investments in industries such as property development, brand management, hospitality, and food & beverage industries. The company uses services like AWS Database Migration Service, Amazon Glacier, Amazon S3, and Amazon EMR to migrate data and build its datalakes on AWS, and also runs Magento on AWS to facilitate its omnichannel platform as part of its new digital strategy. Central Group's platform is now highly available and scalable, especially during peak times, delivering a better customer experience for its users.
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Epic Games Case Study
Chris Dyl, director of
platform at Epic Games, discusses how the company uses AWS to power its creation engine, Unreal Engine, and its last-man-standing game, Fortnite. With millions of concurrent players worldwide, Epic relies on AWS to help it achieve the scale and elasticity it needs to provide the best player experience.
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AWS Case Study - FinFabrik
With AWS, FinFabrik can easily make changes and deploy new systems in just 10 minutes, ensuring data privacy and latency targets are met. The fintech uses Amazon Virtual Private Cloud to segregate client networks, Amazon Elastic Container Service to run serverless computing, and AWS Identity and Access Management for account authentication.
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Quantcast Case Study
Quantcast uses AWS to scale up to 1,000 instances per day, save up to 60 percent on compute costs, and deliver reliable services to customers. The company offers real-time bidding and other online advertising services to enterprises throughout the world. Quantcast uses Amazon EC2 Spot Instances to save money and ensure high availability for its services.
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Liulishuo Case Study
Using AWS, Liulishuo has created a stable and reliable online learning platform, which provides tens of millions of users with personalized English language learning services. Liulishuo is a leading AI-driven education technology company dedicated to providing each and every user with personalized and adaptive online learning courses. AWS services employed by Liulishuo include: Amazon EC2, Amazon S3, Amazon EMR, Amazon VPC, Amazon CloudWatch, Amazon RDS, Amazon ElastiCache, AWS Data Transfer, Amazon DynamoDB, AWS Config, AWS Storage Gateway, among others.
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AWS Case Study: ConnectWise
ConnectWise uses AWS to easily detect and resolve application performance issues, troubleshoot problems in minutes instead of hours, and reduce latency and other challenges for customers. The organization provides an online business-management platform that IT services enterprises use to run their organizations more efficiently. ConnectWise uses AWS X-Ray to debug and monitor applications, and Amazon CloudWatch to monitor its overall IT environment.
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red violet Case Study
Software and services company red violet significantly reduces compute costs for large parallel-processing clusters using Amazon EC2 Spot Instances. The company uses cloud computing, proprietary algorithms, and big data to resolve complex data problems. The company uses Amazon EC2 for data processing, relies on Amazon EC2 Spot Instances to keep costs manageable, and counts on Amazon EBS storage to ensure data can persist when Spot Instances are reclaimed.
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Illumina Case Study
Illumina is using AWS to save close to $400,000 monthly, fuel global expansion, and help genomic researchers accelerate time-to-discovery. The company provides hardware and software for genome sequencing and analysis. Illumina runs its BaseSpace Sequence Hub platform on AWS, taking advantage of Amazon EC2 Spot Instances to lower compute and storage costs.
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