Amazon EC2 customers
(CASE STUDIES)
General computing
Acquia
Acquia is the leading open digital experience company. The company provides the world’s most ambitious brands with technology that allows them to embrace innovation and create customer moments that matter. Enterprise companies use Acquia to build, operate, and optimize websites on the only Digital Experience Platform for Drupal. Recently, Acquia refreshed their Amazon EC2 fleet, and the results deeply improved capacity and time to results for Acquia’s customers.
"We can rely on AWS for best-in-class cloud computing power. AWS services, like Amazon EC2, enable our customers to innovate with enterprise scale, security, and reliability all over the world. By running our platform on the latest Amazon EC2 generations, Acquia customers realize up to a 60 percent performance improvement in page load times. These performance improvements on the newest AWS instances allow our customers to achieve even better experiences and innovate faster."
Christina Dulude, Manager, Technical Account Management - Acquia
Allergan
"When the business says ‘go,’ we can do that now. We can stand up virtual servers instantly, instead of taking several weeks, whenever we need more compute and storage capacity to support new websites or online marketing campaigns."
Tomasz Kozlowski, Associate Director, Enterprise Architecture - Allergan
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Orangetheory Fitness
Orangetheory Fitness (OTF) is a science-backed, technology-tracked, coach led fitness franchise. The company offers high-tech group workouts that combine high intensity interval training designed to improve strength and cardio fitness levels. During each workout, members receive multiple readings per second in real time, and then receive a workout summary after class with vitals and stats. Amazon EC2 helps OTF run these latency sensitive calculations to provide OTF customers with the most effective and informative workout possible. Before turning to AWS over Azure in 2017, OTF's growth was constrained due to their technology strategy of local databases in each studio and middleware platform for data aggregation. Since that critical decision to move into the cloud on AWS, OTF has scaled out and doubled their studio count. Using a combination of Amazon EC2 instances, OTF has been able to maintain its growing infrastructure with a very small team. OTF saves time and money, as it can comfortably rely on the capacity, performance and scalability of Amazon EC2 to accommodate over 100,000 daily active users in over 1,000 studios. OTF is able to scale out both horizontally and vertically, faster and easier than ever before, to handle more customer load and support more complex workloads.
"AWS EC2 has allowed us to support a very fast growing number of clients without the need to pre-plan capacity. We are able to automate the provisioning and deployment of servers with a very small staff. This automation has also allowed us to save time and cost by not needing to patch servers once they are in use, we simply terminate the old ones and provision new ones with the latest bits."
Pedro Gonzalez, Enterprise Solutions Architect - Orangetheory Fitness
Reamp
“One of my main duties is to find new ways to reduce costs, while maintaining the same performance levels. Reamp achieved that by using Amazon EC2 A1 instance types.”
Emmanuel Santana, CTO - Reamp
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Accelerated computing
Accelerated computing instances use hardware accelerators, or co-processors, to perform functions, such as floating point number calculations, graphics processing, or data pattern matching, more efficiently than is possible in software running on CPUs.
Nanotronics
Nanotronics uses a wide range of machine learning techniques that encompass reinAI in microscopes to catch microscopic defects in a manufacturing line of products such as microchips and nanotubes. The customer leverages Amazon EC2 P3 instances powered by NVIDIA to expedite processing jobs and achieve more accurate detection rates. With P3 instances coupled with NVIDIA Tesla V100 Tensor Core GPUs, Nanotronics is able to detect microscopic defects up to 15% more accurate than humans and process tens of thousands of images quickly and dynamically according to their own customer demand. These capabilities help Nanotronics provide the best products for its customers.
"Over the last 6 months we have been able to simultaneously build more AI models, and pipelines than the entirety of our our 9 year history. We have solutions architects, computer scientists, and data scientists who benefit from the speed and capabilities, and because of that Nanotronics can invent in ways that would have seemed like science fiction in the past."
Matthew Putman, Co-Founder & CEO - Nanotronics
“Amazon AWS P3 instances allow our research group to quickly prototype and validate deep learning models. We are able to build, test and deploy models faster than ever before.”
Vadim Pinskiy, Vice president of research & development - Nanotronics
Toyota Research Institute
“Using Amazon EC2 P3 instances, we reduced the time to train our models by 75%. This significantly accelerates our research and development velocity as we can quickly incorporate new data and retrain models, explore ideas, increase model accuracy, and introduce new features faster.”
Adrien Gaidon, PhD, Machine Learning Lead - Toyota Research InstituteRead case study >>
Zendesk
The flexibility and power we get from AWS have helped Zendesk push past the cutting edge of deep-learning technology in the customer-service space.
Arwen Griffioen, Data Scientist - Zendesk
Accelerated computing
Accelerated computing instances use hardware accelerators, or co-processors, to perform functions, such as floating point number calculations, graphics processing, or data pattern matching, more efficiently than is possible in software running on CPUs.
Nanotronics
Nanotronics uses a wide range of machine learning techniques that encompass reinAI in microscopes to catch microscopic defects in a manufacturing line of products such as microchips and nanotubes. The customer leverages Amazon EC2 P3 instances powered by NVIDIA to expedite processing jobs and achieve more accurate detection rates. With P3 instances coupled with NVIDIA Tesla V100 Tensor Core GPUs, Nanotronics is able to detect microscopic defects up to 15% more accurate than humans and process tens of thousands of images quickly and dynamically according to their own customer demand. These capabilities help Nanotronics provide the best products for its customers.
"Over the last 6 months we have been able to simultaneously build more AI models, and pipelines than the entirety of our our 9 year history. We have solutions architects, computer scientists, and data scientists who benefit from the speed and capabilities, and because of that Nanotronics can invent in ways that would have seemed like science fiction in the past."
Matthew Putman, Co-Founder & CEO - Nanotronics
“Amazon AWS P3 instances allow our research group to quickly prototype and validate deep learning models. We are able to build, test and deploy models faster than ever before.”
Vadim Pinskiy, Vice president of research & development - Nanotronics
Toyota Research Institute
“Using Amazon EC2 P3 instances, we reduced the time to train our models by 75%. This significantly accelerates our research and development velocity as we can quickly incorporate new data and retrain models, explore ideas, increase model accuracy, and introduce new features faster.”
Adrien Gaidon, PhD, Machine Learning Lead - Toyota Research InstituteRead case study >>
Zendesk
The flexibility and power we get from AWS have helped Zendesk push past the cutting edge of deep-learning technology in the customer-service space.
Arwen Griffioen, Data Scientist - Zendesk
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Computer Vision Lab
Jump! is a startup focusing on the design and deployment of efficient deep learning networks on smartphones. The innovative technology accelerating neural networks is designed by Jump! to bring artificial intelligence and machine learning to smartphones and improve user experience.
“We use Amazon EC2 P3 instances and EBS block storage service to develop network compression methods for accelerating the inference of neural networks. These AWS products allow us to run such compute-intensive tasks as image classification and investigation of large scale deep learning networks. It takes 60% less time to complete our algorithms with Amazon EC2 P3 instances as opposed to other less powerful alternatives. The AWS products are also easy to use - we can run Amazon EC2 instances just like a Linux computer! Also, the AWS support team has been very helpful and fast in addressing our questions.”
- Yawei Li, Chief Scientist
Cost & capacity optimization
Amazon EC2 is free to try. There are four ways to pay for Amazon EC2 instances: On-Demand, Reserved Instances, and Spot Instances. You can also pay for Dedicated Hosts which provide you with EC2 instance capacity on physical servers dedicated for your use. Visit the EC2 Spot customer testimonials page for additional customer feedback.
Cathay Pacific
Cathay Pacific is an international airline that offers scheduled passenger and cargo services to nearly 200 destinations in 49 countries and territories.
“We looked at many public clouds but AWS scored most highly against our key criteria, which included stability, security, and breadth of services.”
Lawrence Fong, GM IT Solutions - Cathay Pacific
Lyft
"By using AWS Spot instances, we've been able to save up to 75 percent a month simply by changing four lines of code. It makes perfect sense for saving money when you're running continuous integration workloads or pipeline processing."
Matthew Leventi, Lead Engineer - LyftRead case study >>
Redfin
By using AWS, Redfin can innovate quickly and cost effectively with a small IT staff while managing billions of property records. he company runs its entire business analytics operation on AWS, using a range of services, including Amazon S3, Amazon DynamoDB, Amazon Redshift, Amazon Kinesis, Amazon Elastic MapReduce, and Amazon EC2 instances, which run on the latest Intel Xeon processors.
Read case study >>
Computer Vision Lab
Jump! is a startup focusing on the design and deployment of efficient deep learning networks on smartphones. The innovative technology accelerating neural networks is designed by Jump! to bring artificial intelligence and machine learning to smartphones and improve user experience.
“We use Amazon EC2 P3 instances and EBS block storage service to develop network compression methods for accelerating the inference of neural networks. These AWS products allow us to run such compute-intensive tasks as image classification and investigation of large scale deep learning networks. It takes 60% less time to complete our algorithms with Amazon EC2 P3 instances as opposed to other less powerful alternatives. The AWS products are also easy to use - we can run Amazon EC2 instances just like a Linux computer! Also, the AWS support team has been very helpful and fast in addressing our questions.”
- Yawei Li, Chief Scientist
Cost & capacity optimization
Amazon EC2 is free to try. There are four ways to pay for Amazon EC2 instances: On-Demand, Reserved Instances, and Spot Instances. You can also pay for Dedicated Hosts which provide you with EC2 instance capacity on physical servers dedicated for your use. Visit the EC2 Spot customer testimonials page for additional customer feedback.
Cathay Pacific
Cathay Pacific is an international airline that offers scheduled passenger and cargo services to nearly 200 destinations in 49 countries and territories.
“We looked at many public clouds but AWS scored most highly against our key criteria, which included stability, security, and breadth of services.”
Lawrence Fong, GM IT Solutions - Cathay Pacific
Lyft
"By using AWS Spot instances, we've been able to save up to 75 percent a month simply by changing four lines of code. It makes perfect sense for saving money when you're running continuous integration workloads or pipeline processing."
Matthew Leventi, Lead Engineer - LyftRead case study >>
Redfin
By using AWS, Redfin can innovate quickly and cost effectively with a small IT staff while managing billions of property records. he company runs its entire business analytics operation on AWS, using a range of services, including Amazon S3, Amazon DynamoDB, Amazon Redshift, Amazon Kinesis, Amazon Elastic MapReduce, and Amazon EC2 instances, which run on the latest Intel Xeon processors.
Read case study >>
Salesforce
“Salesforce DMP, part of Salesforce Marketing Cloud, has acquired and scaled a global customer base without any concern about the limitations on the amount of data it can process. This is true even as our platform captures data from interactions from about three billion devices and about 40 billion page views each month. AWS has provided the tools to make this happen.”
Roopak Gupta, Vice President Software Engineering - Salesforce DMP
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High performance computing
AWS provides the most elastic and scalable cloud infrastructure to run your HPC applications. With virtually unlimited capacity, engineers, researchers, and HPC system owners can innovate beyond the limitations of on-premises HPC infrastructure. Visit the HPC customers page for additional customer feedback and case studies.
BP
“When you can dissolve the barrier that often exists between your IT organization and the business, that's when magic really starts to happen. The speed and elastic capacity that we get from the AWS Cloud—for both Spiral Suite and for the many other workloads we are now running there—are massively changing and transforming how we operate today.“
Claire Dickson, CIO - BP downstream segmentRead case study >>
DNAnexus
DNAnexus chose Amazon Web Services (AWS) as its cloud provider because AWS could deliver tens of thousands of compute cores, store petabytes of data, and offer the reliability, security, and compliance required for highly complex and sensitive research activities.
“The management and analysis of genomic data at the scale needed to power large-scale genome studies requires computational and storage infrastructure that exceeds the capacity of most institutions”
Richard Daly, CEO - DNAnexusRead case study >>
Volkswagen
"The hardware and software combination we explored with Altair on AWS is, in our opinion, ideal for generating training data sets for machine learning methods, like Reduced Order Modeling. It will be the enabling technology for a systematic transition from individual simulations to interactive optimization of entire design spaces – with obvious advantages for the efficiency of our development process and the quality of our products.“
Dr. Henry Bensler, Head of CAE Methods - Volkswagen Group Research Read case study >>
Scalability
Amazon EC2 provides a highly scalable compute capacity in the cloud and enables companies to increase and decrease capacity within minutes, not hours or days.
Netflix
“Like other home entertainment services, Netflix has seen temporarily higher viewing and increased member growth during this unprecedented time. In order to meet this demand our control plane services needed to scale very quickly. This is where the value of AWS cloud and our strong partnership became apparent, both in being able to meet capacity needs in compute, storage, as well as providing the necessary infrastructure, such as AWS Auto Scaling, which is deeply ingrained in Netflix’s operations model.“
Nils Pommerien, Director Cloud Infrastructure Engineering at Netflix
Snap Inc.
Snapchat's usage had a spike beginning of January this year. The spike was an anomaly and associated with a ODCR that supported their spike. The recent spike starting March is likely driven by COVID-19, which has impact on social apps.
"As the global coronavirus pandemic affected the lives of millions around the world, Snapchat has played an important role in people’s lives, especially for helping close friends and family stay together emotionally while they are separated physically. In recent months, we have seen increased engagement across our platform resulting in higher workloads and the need to rapidly scale up our cloud infrastructure. For example, communication with friends increased by over 30 percent in the last week of March compared to the last week of January, with more than a 50 percent increase in some of our larger markets. AWS cloud has been valuable in helping us deal with this significant increase in demand, with services like EC2 and DynamoDB delivering high performance and reliability we need to provide the best experience for our customers."
Saral Jain, Director of Engineering, Infrastructure at Snap Inc.
Edmodo Inc.
With more than 125 million members, Edmodo facilitates online learning by providing a secure space for teachers, students, and parents to communicate and collaborate. In 2020, Edmodo received recognition from UNESCO as a recommended distance learning platform in view of the disruption to education worldwide due to COVID-19. As the pandemic began spreading across Europe, Edmodo’s traffic began to grow at an exponential rate. With AWS compute services, the company has been able to rapidly scale to meet this new demand to ensure education continues across the world.
“In early March, our traffic grew significantly with the total number of global learners engaging on the network spiking within a matter of weeks. This required us to increase site capacity by 15 times. With AWS and Amazon EC2 instances, Edmodo has been able to quickly scale and meet this new demand so we could continue to provide teachers and students with our uninterrupted services for their distance learning needs. Having AWS always at our fingertips gives us elastic and robust compute capacity to scale rapidly."
Per Thomsen Vice President, Engineering Edmodo, Inc.
“Pinterest has been able to provide inspiration for an expanded global customer audience during this challenging period, whether looking for public health information, new foods to prepare, or projects and crafts to do with friends and family. Working closely with AWS, Pinterest has been able to ensure additional capacity was available during this period to keep Pinterest up and serving our customers.”
Coburn Watson, Pinterest Head of Infrastructure and SRE
BlueJeans
The global video conferencing provider BlueJeans is on the front lines supporting businesses working from home, healthcare providers who have shifted to telehealth, and educators who have moved from classrooms to distance learning. The recent announcement by Verizon about the acquisition of BlueJeans underscores that video is a critical mode of communication in this era. Customers of BlueJeans praise the provider for its high video and voice quality, its security and the interoperability of its enterprise-grade video conferencing solution. According to Swaroop Kulkarni, Technical Director-Office of the CTO at BlueJeans, providing high quality and availability of the video service during the surge experienced with the pandemic would not have been possible without the partnership with AWS.
“With so many people working from home, we have seen explosive growth in traffic since the start of the Coronavirus pandemic. In just two weeks our usage skyrocketed 300% over the pre-COVID-19 average. We have always run a hybrid infrastructure between our datacenters and public cloud and fortunately had already shifted critical workloads to Amazon EC2 services before the Coronavirus outbreak. The traffic surge in March 2020 led us to scale up on AWS. We took advantage of the global presence of AWS and nearly doubled the number of regions and added US East (Ohio), APAC (Mumbai) and APAC (Singapore). We also experimented with various instance types (C,M,R families) and time-of-day scaling and this served us well for managing costs. Overall, we were able to stay ahead of traffic increases smoothly and seamlessly. We appreciate the partnership with AWS.”
Swaroop Kulkarni Technical Director, Office of the CTO
FINRA
FINRA regulates a critical part of the securities industry – brokerage firms doing business with the public in the United States. FINRA takes in as much as 400 billion market events per day that are tracked, aggregated, and analyzed for the purpose of protecting investors.
“The COVID-19 pandemic has caused extreme volatility in the U.S. securities markets, and since March we have seen market volumes increase by 2-3x. Our compute resources with AWS are automatically provisioned and can process a record peak and then shut down to nothing, without any human intervention. We automatically turn on and off up to 100,000 compute nodes in a single day. We would have been unable to handle this surge in volume within our on premises data center.”
Steve Randich, Executive Vice President and Chief Information Officer, FINRA
ClickUp
ClickUp offers a productivity platform that saves people time and brings together all teams within an organization to plan, track, and collaborate on activities ranging from project management to software development. Today, over 100,000 teams worldwide, from startups to Fortune 500 companies, use ClickUp to boost productivity, increase efficiency and alignment, and fast-track project goals.
"The rise of remote work and the increasing popularity of team collaboration tools has skyrocketed demand for ClickUp, putting pressures on their ability to scale. ClickUp has met this demand by prioritizing agility, urgency, and consistency to deliver on product development and faster innovation for their customers. For ClickUp, AWS was a clear choice given its advantages in providing cloud infrastructure that could help scale resources efficiently while also enabling ClickUp's product team to ship updates and releases on a daily and weekly basis without interrupting the customer experience. The ability to scale resources horizontally through Amazon EC2 and other AWS services, as well as vertically with elastic distribution, are key to ClickUp's continued success and rapid growth."
Alex Yurkowski, CTO - ClickUp
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