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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Globe Telecom Case Study
By migrating the database for a key workload out of Oracle and onto the AWS Cloud, Globe Telecom has freed up 20 processors and 40 cores and will save $1 million in licensing fees. Globe Telecom is the leading provider of mobile and broadband services in the Philippines. The enterprise now runs open-source PostgreSQL using Amazon EC2.
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Carro Case Study
Carro is an automotive marketplace and car financing startup based in Singapore, with multiple showrooms across Indonesia, Thailand and Singapore, that leverages AWS for compute, storage and network connectivity. The company uses services such as Amazon Simple Storage Service (S3) and Amazon Relational Database Service (RDS) to store thousands of pictures and over 3TB of information across multiple geographies, which are constantly redundant and scalable. With AWS CloudFront, it is able to deliver website content to its customers in the fastest manner, and AWS Code Pipeline has facilitated continuous integration and continuous delivery services for its customers that translates to continuous deals without any downtime.
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ViewFin Metaverse Case Study
With AWS, ViewFin Metaverse is able to build a secure, stable, and dependable blockchain-as-a-service (BaaS) platform to provide blockchain-based digital solutions to customers from a wide range of sectors including finance, business, art, and medical. ViewFin Metaverse is a fintech company focusing on blockchain technologies; its main offerings include Metaverse and Metaverse BaaS. Amazon Web Services used by ViewFin Metaverse include Amazon EC2, Amazon S3, Amazon CloudWatch, Amazon DynamoDB, Amazon RDS, Amazon EMR, Amazon RedShift, Amazon Kinesis, Amazon Kinesis Firehose, Amazon ElastiCache, Amazon Elastic Container Registry (Amazon ECR), AWS IAM, and AWS Developer Support.
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Prime Video - Boosts Scale and Resilience
Amazon.com migrated a service that supports Prime Video from Oracle to Amazon Web Services to increase elasticity and reliability while reducing cost. Prime Video is the video-streaming service from Amazon, the world’s leading online retailer. Amazon moved billions of rows of data to Amazon DynamoDB with zero downtime.
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Amazon Buyer Fraud Case Study
The Amazon.com Transaction Risk Management Services (TRMS) team migrated 40 TB of data from on-premises Oracle databases to AWS in just six months with only one hour of downtime. TRMS runs the Buyer Fraud Service, which uses machine-learning algorithms to predict and prevent fraudulent transactions on Amazon.com. The TRMS team used a migration stack that included AWS Database Migration Service (DMS) to migrate to a new relational database solution based on PostgreSQL-compatible Amazon Aurora.
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Amazon Advertising Case Study
Amazon Advertising Engineering and Development (AED) increased throughput and avoided a three-year project to rebuild performance monitors and management tools by shifting data held in Oracle databases to Amazon RDS. AED builds, manages, and scales the technologies that undergird Amazon's programmatic advertising offerings. The new solution uses PostgreSQL relational databases that are fully managed by Amazon RDS, with Amazon S3 for storing backups.
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Amazon Items and Offers Case Study
Amazon migrated its Item Master Service from Oracle to Amazon DynamoDB to improve availability and scalability, reduce operational burden, and improve utilization. Amazon used AWS Database Migration Service to migrate 150 TB of data in just two months with zero downtime, and now relies on Amazon DynamoDB to process more than five billion catalog updates every day without significant manual effort.
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