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.
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 »
Discover what customers are doing with AWS today
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AWS Case Study - Spark Networks
By moving to AWS from a legacy data center, Spark Networks was able to reduce time-to-market for its websites by 300 percent. Spark Networks is one of the world’s leading online dating companies, specializing in areas such as religion, age, and vocation. Spark Networks slashed its development times, and by shifting its web infrastructure to the cloud, utilizing Amazon Elastic Block Store and Amazon Elastic Compute Cloud, it also reduced page load durations by up to 75 percent.
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Asianet-Case-Study
Asianet News built a serverless infrastructure with AWS to minimize workload and support 70 percent growth. Asianet News is one of India’s largest media groups. It uses Amazon DynamoDB with Amazon Lambda to support instantaneous scale in traffic without huge infrastructure costs.
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AWS Case Study - WeLend
WeLend has grown its business at least 80 percent year-on-year and saved 15 percent of engineers’ time thanks to intelligent security features on the AWS Cloud. WeLend is a Hong Kong–based online lender using an AI algorithm to make credit decisions in minutes. The startup built its algorithm on Amazon EC2 instances and uses Amazon RDS and Amazon GuardDuty for its application.
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AWS Case Study: Poshmark
When the founders of Poshmark decided to launch a social shopping app, they wanted to bring the app to market quickly and have it scale for large, real-time events. The company took advantage of AWS services, libraries and developer resources to develop and bring the app to market in 8 months. On AWS, Poshmark can scale to support thousands of requests per second during peak periods without the hassle of managing on-premises resources.
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IMImobile-Case-Study
By using AWS Auto Scaling and Elastic Load Balancer, IMIconnect scales up and down automatically based on spikes in actual customer interaction volumes.
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AWS Case Study: WeTransfer
Using AWS, WeTransfer seamlessly handles more than 40 million active users, who transfer about 1 billion files each month, generating traffic peaks of 15 GB of data per second. Based in the Netherlands and the United States, the company provides a file- transfer service that makes it easy for users to send files of up to 20 GB in size. Watch Bastiaan Terhorst, chief product officer of WeTransfer, discuss how AWS has enabled the company to innovate and experiment with new technologies without making huge investments.
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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.
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