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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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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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.
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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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Bridestory Case Study
By decoupling its monolithic architecture to containers on the AWS Cloud, Bridestory has reduced deployment time from three weeks to one day and has achieved a failure rate of just 1 percent. Bridestory is an Indonesia-based web and mobile application that provides brides with wedding inspirations and links to potential vendors. The company uses Amazon Elastic Container Service to manage its microservices infrastructure and Amazon Relational Database Service to store transaction data for processing.
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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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