Amazon Elastic File System

Simple, serverless, set-and-forget, elastic file system

Amazon Elastic File System (Amazon EFS) provides a simple, serverless, set-and-forget, elastic file system that lets you share file data without provisioning or managing storage. It can be used with AWS Cloud services and on-premises resources, and is built to scale on demand to petabytes without disrupting applications. With Amazon EFS, you can grow and shrink your file systems automatically as you add and remove files, eliminating the need to provision and manage capacity to accommodate growth.

Amazon EFS offers you the choice of creating file systems using Standard or One Zone storage classes. Standard storage classes store data within and across multiple availability zones (AZ). One Zone storage classes store data redundantly within a single AZ, at a 47% lower price compared to file systems using Standard storage classes, for workloads that don’t require multi-AZ resilience.

Amazon EFS offers four storage classes: two Standard storage classes, Amazon EFS Standard and Amazon EFS Standard-Infrequent Access (EFS Standard-IA), and two One Zone storage classes, Amazon EFS One Zone, and Amazon EFS One Zone-Infrequent Access (EFS One Zone-IA).

While workload patterns vary, customers typically find that 80% of files are infrequently accessed (and suitable for infrequent access storage classes), and 20% are actively used (suitable for EFS Standard and EFS One Zone storage classes), resulting in an effective storage cost as low as $0.043/GB-month1 for file systems with One Zone storage classes, and $0.08/GB-month2 for file systems with Standard storage classes. Amazon EFS transparently serves files from both frequently accessed and infrequent accessed storage classes in a common file system namespace. See Pricing Table »

Amazon EFS is designed to provide massively parallel shared access to thousands of Amazon EC2 instances, and AWS containers and serverless compute services including Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), AWS Fargate, and AWS Lambda, enabling your applications to achieve high levels of aggregate throughput and IOPS with consistent low latencies.

Amazon EFS is well suited to support a broad spectrum of use cases from home directories to business-critical applications. See Use Cases »

1 pricing in US East (N. Virginia) region, assumes 80% of your storage in EFS One Zone-IA
2 pricing in US East (N. Virginia) region, assumes 80% of your storage in EFS Standard-IA

Amazon EFS overview (2:13)

Learn more about cloud file storage and how it compares to other cloud storage solutions.

Cloud storage options provide a simple and scalable way to store, access, and share data over the Internet. Here, we compare Amazon EFS to other AWS Cloud storage offerings, helping you understand when to choose Amazon EFS.

Benefits

POSIX-compliant shared file storage

Amazon EFS provides secure access for thousands of connections for Amazon EC2 instances and on-premises servers, as well as AWS compute services, including ECS, EKS, AWS Fargate, and AWS Lambda, simultaneously using a traditional file permissions model, file locking capabilities, and hierarchical directory structure via the NFSv4 protocol. Amazon EC2 instances can access your file system across AZs, regions, and VPCs, while on-premises servers can access using AWS Direct Connect or AWS VPN.

Scalable performance

Amazon EFS is designed to provide the throughput, IOPS, and low latency needed for Linux workloads. Throughput and IOPS scale as a file system grows and can burst to higher throughput levels for short periods of time to support the unpredictable performance needs of file workloads. For the most demanding workloads, Amazon EFS can support performance over 10 GB/sec and more than 500,000 IOPS.

Dynamic elasticity

Amazon EFS automatically and instantly scales your file system storage capacity up or down as you add or remove files without disrupting your applications, dynamically providing the storage capacity you need as you need it. You simply create your file system and start adding files with no need to provision storage in advance.

Fully managed

Amazon EFS is a fully managed service providing shared file system storage for Linux workloads. It provides a simple interface allowing you to create and configure file systems quickly and manages the file storage infrastructure for you, removing the complexity of deploying, patching, and maintaining the underpinnings of a file system.

Cost-effective

With Amazon EFS storage, you pay only for what you use. There is no need to provision storage in advance and there are no minimum commitments or up-front fees. With EFS Lifecycle Management, you can automatically move files accessed less frequently to a cost-optimized storage class, reducing file storage costs by up to 92%. With Amazon EFS One Zone storage classes, customers with workloads that do not require the multi-AZ resilience of Standard storage classes can choose additional savings of 47% by storing their data in a single-AZ. You can also use AWS Budgets to monitor your file system costs. Learn more »

Security and compliance

Amazon EFS allows you to securely access your files using your existing security infrastructure. Control access to your Amazon EFS file systems with POSIX permissions, Amazon VPC, and AWS IAM. Secure your data by encrypting your data at rest and in transit. Amazon EFS also meets many eligibility and compliance requirements to help you meet your regulatory needs. Click here for a list of compliance programs in scope for Amazon EFS.

How it works

Amazon EFS - How it works

Use cases

Containers and serverless persistent file storage

Amazon EFS enables customers to persist data and state from their containers and serverless functions, providing fully managed, elastic, highly-available, scalable, and high-performance, cloud-native shared file systems. These same attributes are shared by Amazon Elastic Container Service (Amazon ECS), Amazon Kubernetes Service (Amazon EKS), AWS Fargate, and AWS Lambda, so developers don’t need to design for these traits, the services are simply ready for modern application development with data persistence. Amazon EFS allows data to be persisted separately from compute, and enables applications to have cross-AZ availability and durability. Amazon EFS provides a shared persistence layer that allows stateful applications to elastically scale up and down, such as for DevOps, web serving, web content systems, media processing, machine learning, analytics, search index, and stateful microservices applications.

Learn more »

Move to managed file systems

Amazon EFS provides the scalability, elasticity, availability, and durability to be the file store for enterprise applications and for applications delivered as a service. Its standard file system interface, file system permissions, and directory hierarchy make it easy to migrate enterprise applications from on-premises to the AWS cloud, and to build new ones. Move your business critical, Linux-based applications to managed file systems with Amazon EFS, while lowering your total cost of ownership (TCO).

Learn more »

Analytics & machine learning

Amazon EFS provides the ease of use, scale, performance, and consistency needed for machine learning and big data analytics workloads. Data scientists can use EFS to create personalized environments, with home directories storing notebook files, training data, and model artifacts. Amazon SageMaker integrates with EFS for training jobs, allowing data scientists to iterate quickly.

Web serving & content management

Amazon EFS provides a durable, high throughput file system for content management systems and web serving applications that store and serve information for a range of applications like websites, online publications, and archives. Since Amazon EFS adheres to the expected file system directory structure, file naming conventions, and permissions that web developers are accustomed to, it can easily integrate with web applications.

Application testing & development

Amazon EFS provides your development environments a common storage repository that gives you the ability to share code and other files in a secure and organized way. You can provision, duplicate, scale, or archive your test, development, and production environments with a few clicks, enabling your organization to be more agile and responsive to customer needs. Amazon EFS delivers a scalable and highly available solution that is ideal for testing and development workloads.

Media & entertainment

Media workflows like video editing, studio production, broadcast processing, sound design, and rendering often depend on shared storage to manipulate large files. Amazon EFS provides a strong data consistency model with high throughput and shared file access which can cut the time it takes to perform these jobs and consolidate multiple local file repositories into a single location for all users.

Database backups

Amazon EFS presents a standard file system that can be easily mounted with NFSv4 from database servers. This provides an ideal platform to create portable database backups using native application tools or enterprise backup applications. Many businesses want to take advantage of the flexibility of storing database backups in the cloud either for temporary protection during updates or for development and test.

Discover

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.

Learn more »

Discover
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.

Learn more »

Case studies

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