Using AWS, 3M Health Information Systems (HIS) processes millions of electronic records per day, maintains scale, and meets the necessary HIPAA security qualifications. 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 uses AWS Professional Services and AWS Support to help develop advanced services and healthcare applications.
Blackboard uses the AWS Cloud to transform digital learning worldwide. Learn more »
Online content provider Netflix can support seamless global service by using AWS. Learn more »
Workday supports enterprise applications for more than 1,300 businesses using AWS. 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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Centratech Systems Case Study
Since moving to the AWS IoT environment, Centratech Systems has reduced training time for new customers from six hours to one, and has vastly expanded its customer base through an estimated 66 percent reduction in device costs. Centratech Systems is an Australian provider of wireless monitoring and control systems used by local governments to manage water, pumping, and electricity applications. The company relies on Amazon EC2 instances to host its software used with legacy hardware, and it has recently shifted to the AWS IoT platform to manage newer, lighter, and less costly smart devices in the field.
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Gujarat Technological University Case Study
Using AWS, Gujarat Technological University (GTU) in India has eliminated outages and established a highly available infrastructure to support 30,000 concurrent website users. GTU provides business, engineering, pharmacy, and software development courses to about 500,000 students per year from about 500 locations across India. GTU uses Amazon EC2 for its website, applications, and services, while Amazon S3 and Amazon EBS provide storage, and Amazon Glacier is used for long-term archiving and backup.
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Capital One Case Study
Capital One is using AWS as a central part of its technology strategy. As a result, the bank plans to reduce its data center footprint from eight to three by 2018. Capital One is one of the nation’s largest banks and offers credit cards, checking and savings accounts, auto loans, rewards, and online banking services for consumers and businesses. It is using or experimenting with nearly every AWS service to develop, test, build, and run its most critical workloads, including its new flagship mobile-banking application. Capital One selected AWS for its security model and for the ability to provision infrastructure on the fly, the elasticity to handle purchasing demands at peak times, its high availability, and its pace of innovation.
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Here EFS Case Study
HERE moved its binary-artifact repository to the AWS Cloud, enabling it to centralize artifact-repository management for its development teams worldwide for greater innovation and faster time-to-market. HERE is one of the world’s leading location-data companies, providing a variety of services ranging from in-car navigation to shipping logistics. The company uses Amazon EFS to store more than 20 TB of software artifacts, and runs a JFrog Artifactory platform for managing binary artifacts on Amazon EC2 instances.
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Aftership Case Study
Based in Hong Kong, AfterShip provides automated shipment tracking as a service, supporting 300 shipping services worldwide and handling over 30 million packages every month. AfterShip is using Amazon EC2 Spot Instances and Amazon ElastiCache to run API services, serving over a billion API requests per month.
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Amplframe Case Study
Founded in 2016, Amplframe is a photography community platform in Taiwan where avid photographers can list and explore various lenses. The website features photos uploaded by users—categorized by different types of lenses. Using AWS enables Amplframe to support an increase in website traffic, with 18,000 visits over a period of seven months.
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TIBCO CodeBuild Case Study
TIBCO Simplr streamlined DevOps workflows, cut its server footprint by 40 percent, and decreased system response time to seconds by containerizing its suite of SaaS connectors using Amazon ECS. TIBCO Simplr makes it easy for nontechnical users to connect cloud applications, build online forms, and automate application workflows with an intuitive, cloud-based service. The TIBCO Simplr platform is architected as microservices running in Docker containers orchestrated by Amazon ECS across a cluster of Amazon EC2 instances.
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PetaBencana.id Case Study
By using AWS, the University of Wollongong’s PetaBencana platform provides communities with real-time, crowd-sourced flood information through its IoT water-level sensors, leveraging solar power and power management to make the sensors suitable for long-term, wide-scale deployment in Jakarta, Indonesia and other cities. PetaBencana.id, formerly PetaJakarta, is a free web-based platform that harnesses the power of social media to gather, sort, and display information about disasters in real time in a manner that removes the need for expensive and time-consuming data processing. Since its debut in 2013, PetaBencana has been used by millions of residents to make time-critical decisions about safety and navigation during emergency flood events, and it was adopted by the National Emergency Management Agency to monitor flood events, improve response times, and share time-critical information with residents.
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Government of Ontario Case Study
Using AWS, the Government of Ontario makes government information and services accessible to the 14 million people in Ontario, Canada's largest province. The Government of Ontario looks after healthcare, education, transportation, and the environment for the province. With the mandate to provide citizens with services clearly, quickly, and reliably, the Ontario Digital Services team turned to AWS to experiment with its website, Ontario.ca. By shifting the website to the AWS Cloud, the site stopped going down, the organization had a disaster-recovery solution and autoscaling capabilities, all without requiring an expensive infrastructure purchase.
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