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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IDEXX Case Study
IDEXX uses AWS to deliver a wide range of solutions for veterinary practices. IDEXX is a global leader in veterinary diagnostic equipment and reference laboratory services. The company uses AWS IoT to identify equipment-maintenance needs, stores and serves millions of images weekly with its Image Manager service leveraging Amazon S3, and built an enterprise data lake using Amazon EMR.
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ShootProof Case Study
ShootProof relies on AWS to deliver photos to photographers five times faster, improve the customer experience, and focus more on developing new features. The company is an online marketplace used by tens of thousands of photographers monthly. ShootProof uses Amazon EFS for fully managed, centralized file storage for its digital media packaging workflow system.
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AWS Case Study - PayEasy
PayEasy saves TWD$25 million (US$810,000) and two hours of management time a day by migrating its Oracle RAC database to the AWS Cloud. PayEasy is a leading online retailer in Taiwan, with 5 million registered users. When the existing on-premises infrastructure for PayEasy’s mission-critical Oracle database was going end-of-life, the company migrated the database to the AWS Cloud and Amazon RDS for Oracle, with AWS WAF as the web firewall.
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FICO Lambda Case Study
FICO uses AWS to unlock innovation, deploy software in a day instead of weeks, ensure compliance, and cut costs. The company provides predictive analytics and decision management software solutions to financial services institutions worldwide. FICO runs its Decision Management Suite on AWS Lambda and other AWS services.
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Autodesk Log Analytics Case Study
Autodesk uses AWS to detect and fix application problems faster, improve log file analytics, and create an enterprise unified log data solution with a small IT team. The company creates software used by organizations in the architecture, engineering, construction, manufacturing, media, and entertainment industries. Autodesk created a unified log data solution on AWS, taking advantage of Amazon Elasticsearch Service and other AWS services.
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SKF Case Study
Using AWS, SKF is optimizing its production processes, reducing costs, and providing a better experience to its customers. SKF is a bearing manufacturer founded in Sweden in 1907. SKF uses AWS machine learning, data lakes, databases, and more to help it speed innovation.
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innogy Czech Case Study
innogy Czech uses AWS to support critical SAP systems, speed software deployments, provision new systems in weeks instead of months, and recruit and retain new talent. The utilities company provides gas, electricity, and other services to 1.6 million customers across the Czech Republic. innogy Czech runs its SAP systems on the AWS Cloud.
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CAF Case Study
Spanish rail solutions company CAF delivers predictive maintenance capabilities for its LeadMind Platform in just eight weeks with AWS. CAF Rail Services help customers reduce the life-cycle costs of its trains. AWS IoT Core collates sensor data from trains, Amazon Kinesis ingests the data, and then Amazon Redshift stores it for analysis.
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Amazon FLASH Case Study
Amazon migrated its transactional subledger from Oracle to AWS to maintain its core mission of delivering timely, complete, and accurate financial reports as transaction volumes continue to grow. Amazon migrated critical databases to Amazon DynamoDB and used a lift-and-shift approach to migrate relational databases to Amazon RDS.
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California Polytechnic State University Case Study
How does a world-class technology university navigate the migration from an on-premises data center to a future-proofed IT infrastructure in the cloud? California Polytechnic State University (Cal Poly) is one of the top engineering schools in the nation, but the university was struggling with legacy technology that put data at risk. Cal Poly is in the midst of an evolving cloud-migration journey. The university invested in cloud-based training for its IT staff and decided to go all in on the AWS Cloud, breaking free from a lift-and-shift mentality, and found success in adopting a people-first, technology-second strategy. As the world’s first university-based innovation program powered by AWS, the Cal Poly Digital Transformation Hub (DxHub) is dedicated to connecting public sector organizations with engaged students and world-class technology expertise. With a "learn-by-doing" approach, the DxHub aims to improve digital experiences for students and citizens globally.
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