Amazon EFS Customers

Amazon Elastic File System provides a simple, serverless, set-and-forget elastic file system for AWS compute services. Amazon EFS is serverless, enabling you to build and run applications without worrying about managing and provisioning infrastructure. It’s designed for the vast majority of file workloads. Amazon EFS is ideal for machine learning, web serving and content management, and everything in-between. Learn how customers are impacting their business with Amazon EFS.

Customer Videos

Discover Financial Services with Amazon EFS
Discover Accelerates Analytics and Time-to-Insights Using AWS
T-Mobile Uses Amazon EFS to improve Customer Experience
T-Mobile Improves Customer Experience, Lowers Costs of Kubernetes Storage Using AWS
Spokeo Scales with Amazon EFS
Spokeo Supercharges Web Performance with Amazon EFS, Reducing Costs and Saving Time
BBC Red Button with Amazon EFS
BBC Uses Shared File Storage to Migrate Red Button Application to the AWS Cloud
Creative Market and Amazon EFS
20,000 Creative Market Shops Turn Passion into Opportunity Using AWS and Amazon EFS
LoanLogics Kickstarts their All-in Move to the AWS Cloud
LoanLogics Kickstarts their All-in Move to the AWS Cloud with AWS Storage Gateway and Amazon EFS
Asurion Modernizes Applications with AWS Lambda and Amazon EFS
Acquia Modernizes Applications with Containers using Amazon EFS
Qube uses Amazon EFS for Container and Data Science Applications

Case Studies

Digital transformation at Discover using AWS Storage solutions

Discover Financial Services invests in big data and analytics as varied tools and platforms are used across the organization. Its internal data science workbench called Air9, built on AWS, enables environments where data scientists can collaborate more easily. By shifting from an open source storage system to Amazon EFS, Discover Financial Services reduced storage costs by 50%, simplifying management, and increasing scalability.

Johnson & Johnson reduces analysis time by 35% with their data science platform using Amazon EFS

Johnson & Johnson data science platform is used to analyze genomics sequencer data, whole genome studies, medical device data, and immunology studies. They get faster time-to-insights with access to new datasets, and reduced analysis time by 35%. They reduced costs by 37% using EFS Lifecycle management and Amazon EFS One Zone lower-cost storage classes.

Ancestry Accelerates Genomics Data Insights Using Amazon EFS

Ancestry is a global leader in family history and consumer genomics. The AncestryDNA science team decided to move to Amazon Web Services (AWS) for the scalability and flexibility of the cloud. Using Amazon EFS, Ancestry enables multiple scientists to perform genomics research, automatically scales compute and storage resources up or down, and onboards new scientists faster and easier.

Customer Quotes

  • Asurion
  • Atlassian

    Asurion is a leading provider of device insurance, warranty, and support service, and its experts can repair, replace, and resolve nearly any consumer tech issue. Asurion uses an array of Amazon Web Services (AWS) technologies and performs real-time analysis of customer experience during support calls using ML on AWS Lambda, but struggled with fitting those call recordings in the AWS Lambda /tmp space. Asurion solved the issue by using Amazon Elastic File System (Amazon EFS) to give extended storage space to its ML functions running in AWS Lambda. Now, Asurion’s ML inference infrastructure scales elastically with call volume, and it has reduced operational overhead, as compared to maintaining instances and auto-scaling.

    "We really wanted to use AWS Lambda to make our ML inference elastic but thought we wouldn’t be able to because of the size of data the process required. With Amazon EFS, we were easily able to give our function all of the storage space it needs.”

    Jeff Tougas, Senior Principal Software Engineer - Asurion

  • Johnson & Johnson
  • Johnson & Johnson logo

    Johnson & Johnson data science and business experts collaborate to incorporate science into healthcare solutions, including medical device and diagnostic technologies, consumer healthcare products, and pharmaceuticals. Johnson & Johnson needed storage to share and perform analytics on their data science workbench for genomics neuroscience, R & D, and drug discovery. A massively scalable solution was required to share and analyze 100s of TB of data from external and internal studies. Also, their existing on-premises storage had limited scale and high overhead. 

    By containerizing its hosting application and running it on Amazon Elastic Kubernetes Service (Amazon EKS), using Amazon Elastic File System (Amazon EFS) for persistent storage, Amazon Elastic File System (Amazon EFS) provides performant analytics storage with shared file access to data scientists using open-source genomics and Shiny, as well as Domino Data Labs, running on an Amazon Elastic Kubernetes Service (EKS) cluster. The solution scales elastically to 500TiB and growing. Since implementing the solution, Johnson & Johnson has increased innovation and delivered faster-time to insights with access to new datasets, reducing analysis time by 35%. They’ve also reduced costs by 37%, using EFS Lifecycle management and lower cost EFS One Zone storage classes.

    “Data scientists need access to massive data from different sources for genomics, R&D, and drug discovery to perform advanced analytics. With Amazon EFS, we were able to share data on a massive scale, increase innovation by accelerating analytics, and save 37% in costs.”

    Greg Rusin, IT Manager - Johnson & Johnson

  • Acquia
  • Atlassian

    Acquia’s software and services are built around Drupal to give enterprise companies the ability to build, operate, and optimize websites, applications, and other digital experiences. Acquia is continuously seeking to improve its web hosting environment to enhance customer experience, while operating as efficiently as possible. By containerizing its hosting application and running it on Amazon Elastic Kubernetes Service (Amazon EKS), using Amazon Elastic File System (Amazon EFS) for persistent storage, Acquia was able to dynamically scale its customer environments, improving customer experience. At the same time, Acquia lowered its TCO through improved storage and compute utilization and further reduced administrative burden by leveraging fully managed services from Amazon Web Services (AWS).

    "By containerizing our hosting applications and running them on Amazon EKS and Amazon EFS, we have improved our customer experience, while considerably reducing our infrastructure and operational maintenance overhead.”

    Jake Farrell, Senior Director of Engineering - Acquia

  • Federated Wireless
  • Atlassian

    Federated Wireless enables commercial use of the Citizens Broadband Radio Service (CBRS) wireless band by dynamically managing the shared spectrum using cloud-based technology and machine learning. Operating a CBRS wireless network requires daily jobs to calculate “path loss” for registered devices. The company sought a solution that could scale these jobs to keep pace with rapid growth of its CBRS wireless network. To do so, Federated Wireless turned to Amazon Web Services (AWS).

    The Federated Wireless solution uses Amazon Elastic File System (Amazon EFS) for elastic, shared data storage and launches tasks that calculate “path loss” in Amazon Elastic Container Service (Amazon ECS) on Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances to cost-effectively parallelize across hundreds of instances. As a result, Federated Wireless has reduced execution times for tasks that calculate “path loss” by 30 percent and is able to dynamically scale, increasing the number of devices its network can handle.

    "Amazon EFS and Amazon ECS have allowed us to dynamically scale our Spectrum Access System (SAS) platform to keep up with the rapid growth of our wireless business.”

    Saijee Varghese, Sr. Director, Engineering - Federated Wireless

  • SkyWatch
  • Atlassian

    SkyWatch discovers and accesses satellite imagery, and remote sensing datasets, bringing insights through geospatial analytics. SkyWatch uses AWS Lambda and Amazon Elastic File System (Amazon EFS) to process satellite images. Their pipeline turns raw image data into tiles through a series of AWS Lambda invocations, to a final processed result. Amazon EFS is used as a low-latency shared file system that scales to the volume of image data. SkyWatch is able to complete image processing faster, at lower costs through reduced operational overhead, with an infrastructure that scales elastically with image volume.

    "AWS Lambda lets us easily run large-scale image applications, and Amazon EFS enables us to concurrently process shared data with a low latency file system through a multi-stage image processing pipeline, scaling elastically with image volume.”

    Luis Veci, Image Processing Software Lead - SkyWatch

  • Atlassian
  • Atlassian

    Atlassian delivers team collaboration and development tools like JIRA, Confluence, HipChat, and Bitbucket to more than 57,000 customers.

    “We are growing by leaps and bounds, and our core offering is all about better support delivery. During the course of developing our next-generation internal support system, we never wanted to worry about scale again, yet we had existing architectural commitments that meant a distributed file solution was required. Atlassian chose Amazon EFS because it was the only option available that scaled both capacity and performance – without the up-front payments or the management overhead of traditional models. This allows our support teams to focus on what matters most - helping our customers."

    Sri Viswanath, CTO - Atlassian

  • Thomson Reuters
  • Thomson Reuters is a leading source of information—including one of the world’s most trusted news organizations—for the world’s businesses and professionals.

    “With Amazon EFS, we have capacity on demand. We are confident that we will NEVER run out of storage space, and no longer worry about aging hardware, warranties, support contracts, or hardware failures. Best of all, we were able to get a better service, for 67% less.”

    Edward Zhitnitsky, Media Technology Manager - Thomson Reuters

  • Seeking Alpha
  • Seeking Alpha is a platform for investment research, with broad coverage of stocks, asset classes, ETFs and investment strategy.

    “Seeking Alpha subscribers rely on us for accurate trading information. Amazon EFS helps us manage the thousands of web pages on our site. It also helps us manage the traffic spikes generated by financial market events, and ensure that every bit of content requested during these spikes is quickly and reliably delivered to our subscribers.”

    Asi Segal, CTO - Seeking Alpha

  • SiriusXM
  • SiriusXM is one of the world's largest audio entertainment companies and is among the largest subscription media companies in the United States, offering an array of exclusive content to satisfy many interests.

    “Good, fast, and cheap. We picked two and got all three with Amazon EFS. It gave us the agility to deliver a new product on schedule, eliminated scale and performance concerns, and the OPEX reductions have exceeded our expectations.”

    Chris DeAcosta, Senior Director, Software Engineering - SiriusXM

  • Toast
  • Toast is a restaurant technology platform that enables customers to simplify and streamline all elements of their operation and deliver a better guest experience.

    “Like many fast-growing companies, Toast is always looking for ways to maximize our resources so we can develop the best product possible for our restaurant customers. Amazon EFS did just that; it jump-started our distributed processing frameworks, resulting in significant parallelization and throughput gain for the workloads we are running. With Amazon EFS, we got an easy-to-attach, cross-AZ shared file system with minimal operational efforts.”

    Martin Kressirer, Senior Principal Engineer - Toast

  • Zend
  • Zend was founded by key contributors to PHP and provides commercial PHP solutions and support for development leaders, DevOps, and developers. Amazon EFS provides Zend customers with a highly-available and performant storage platform for their PHP-based sites.

    “As our customers move web sites to AWS, they need a highly available, highly scalable, easy to use, and affordable file system, and we found Amazon EFS ideal for customer-facing websites.”

    Boaz Ziniman, Senior Director for Cloud Strategy - Zend

Featured Customers