3M Health Information Systems (HIS) Case Study
By going all in on AWS, 3M Health Information Systems (HIS) provisions compute resources in minutes instead of weeks, develops and deploys software in one week instead of six, and innovates faster. 3M HIS enables customers to efficiently document, code, classify, store, and measure healthcare delivery with integrated software and services, enabling complete, compliant, and accurate payments. 3M HIS customers also analyze the total cost, quality, and outcomes for patients and populations, using 3M data-analytics applications. 3M HIS runs several advanced applications on AWS.
abof Case Study
Running its infrastructure in AWS has enabled abof to achieve 99.999 percent availability and an average page loading time of 1.5 seconds, while obtaining the agility needed to thrive in the competitive online fashion industry in India. abof is Indian conglomerate Aditya Birla Group’s initial venture into e-commerce; the business provides apparel, footwear, and accessories for men and women. The business is using Amazon EC2 to run IBM WebSphere Commerce Suite and an IBM DB2 database, Amazon S3 to store website images and video, Amazon RDS to run a MySQL database supporting an in-house developed logistics system, and Amazon CloudFront to deliver content to users across India and internationally.
AirAsia Case Study
AirAsia is Asia’s leading low-cost airline with it’s regional headquarters based in Malaysia. AirAsia flies to over 120 destinations across Asia, Australia and the Middle East with an estimated 60 million pax flown annually. AirAsia utilises services such as Amazon CloudWatch, AWS Lambda and AWS X-ray which offers detailed performance insights and boosts operational efficiency. Since moving its website and booking platform to AWS, they have been able to better cope with customer demands; auto-scaling to receive almost 10 million to 40 million requests per day on normal and peak seasons respectively.
Aircel Case Study
Using AWS, Aircel reduced development time for its Aircel Backup app by 60%, and ensured its Aircel e-money platform delivered the security and reliability to maintain high levels of customer satisfaction. Aircel offers a range of voice and data services and is the fastest-growing telecommunications provider in India. Today, the company runs its Aircel e-money platform and Aircel Backup app on AWS, using Amazon EC2 instances for web and databases services, and relies on Amazon S3 for storage and CloudWatch services for real-time alert configuration.
Alert Logic Powers Security-as-a Service Business With Amazon S3
Using AWS, Alert Logic gains data protection and geographic redundancy, and reduces the cost of its footprint by more than 50 percent compared to an on-premises data center. Alert Logic is a cloud-security provider based in Houston, Texas. The company uses Amazon S3 to store and analyze data for its security-as-a-service solution.
Allergan Case Study
Allergan easily supports 10 percent annual business growth and launches new websites and online campaigns in one day instead of several weeks using AWS. Allergan is a global pharmaceutical firm that creates and markets brands to consumers throughout the world. The organization runs more than 400 product websites and marketing applications on AWS. The top 10 percent of Allergan’s AWS-hosted websites—by visitor volume—are built in Sitecore CMS.
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.
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.
Amazon Database Migration Case Study
Amazon migrated 5,000 databases from Oracle to AWS, cutting its annual database operating costs by more than half and reducing the latency of most critical services by 40 percent. Amazon is the world’s leading online retailer and provides a wide range of cloud services through its Amazon Web Services (AWS) division. For databases supporting critical services and requiring high availability, Amazon is using Amazon DynamoDB and Amazon Aurora; for noncritical services, Amazon RDS for PostgreSQL and MySQL; and for inexpensive, long-term storage of relational and non-relational data, Amazon S3.
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.
Amazon Fulfillment Technologies Aurora Case Study
Amazon migrated its Inventory Management Services from Oracle Database to Amazon Aurora to improve availability and scalability and reduce its operational burden. Amazon is the world’s leading online retailer and provides a wide range of cloud services through its Amazon Web Services (AWS) division. The company moved 700 Oracle instances to Amazon Aurora with PostgreSQL compatibility, achieving greater throughput, scalability, and resiliency.
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.
Amazon Migration Analytics Case Study
Amazon migrated its analytics system from Oracle to AWS to enable greater agility, reduce operational cost and effort, and support growing performance needs. Amazon is the world’s leading online retailer and provides a wide range of cloud services through its Amazon Web Services (AWS) division. The company built a high-performance analytics infrastructure in the cloud using Amazon S3, Amazon Redshift, Amazon EMR, and a range of other AWS services.
Amazon Prime Video Case Study
Amazon Prime Video used the AWS Cloud and AWS Elemental to stream live NFL games to millions of global fans, ensure reliability and low latency, and help advertisers optimize ad performance. The online streaming, video-on-demand service offers original content as well as movies and TV shows for purchase. To stream 11 live NFL games, Amazon Prime Video took advantage of the scalability and performance of Amazon DynamoDB and other AWS services, including AWS Elemental MediaTailor.
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