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Amazon Elastic File System (EFS)

Amazon EFS

Amazon EFS is a fully managed, scalable file storage service using the Linux Network File System (NFS) protocol that automatically scales to petabytes without disrupting applications.

Core Benefits​

Multi-AZ Redundancy: Data is stored across multiple Availability Zones for high durability and availability, ensuring protection against AZ-level failures.

Shared Access: Multiple EC2 instances can access the same file system simultaneously, enabling shared workloads and collaborative applications.

Elastic Storage: Automatically scales storage capacity up or down as files are added or removed, with no minimum fees or setup costs required.

EFS Storage Classes​

Standard Storage Classes: EFS Standard and EFS Standard-Infrequent Access (Standard-IA) offer Multi-AZ resilience with highest durability and availability levels, suitable for frequently accessed data.

One Zone Storage Classes: EFS One Zone and EFS One Zone-IA provide cost savings by storing data in a single Availability Zone, reducing costs compared to Standard classes.

Archive Storage Class: EFS Archive is cost-optimized for data accessed only a few times per year, offering up to 50% lower storage costs compared to EFS Infrequent Access for cold data.

Data Lifecycle Management​

EFS automatically optimizes storage costs through lifecycle policies that move data between storage classes based on usage patterns without manual intervention.

Transition to IA: Files not accessed in Standard storage for 30 days automatically move to Infrequent Access storage, optimized for quarterly access patterns.

Transition to Archive: Files not accessed in Standard storage for 90 days automatically move to Archive storage, optimized for yearly or less frequent access.

Transition to Standard: Configurable policy determines whether files move back to Standard storage when accessed from IA or Archive, with default behavior keeping files in their current class.

EFS Lifecycle Management

Use Cases​

Content Management and Web Serving: Share website files, media assets, and content across multiple web servers for scalable content delivery and management.

Data Analytics and Big Data: Provide shared storage for analytics workloads where multiple compute instances need concurrent access to large datasets for processing.

Container Storage: Serve as persistent storage for containerized applications running on Amazon ECS, EKS, or AWS Fargate that require shared file access.

Development and Testing: Enable development teams to share code repositories, build artifacts, and configuration files across multiple development environments.

Backup and Archiving: Store backup files and archives that need to be accessible from multiple systems while leveraging lifecycle policies for cost optimization.

Machine Learning Workloads: Provide shared access to training datasets and model files for distributed machine learning training across multiple compute instances.

Enterprise Applications: Support legacy applications that require NFS-based shared file storage for configuration files, logs, and application data.

Key Features​

  • NFS Protocol Compatibility: Works with standard Linux file system tools and applications.
  • Pay-for-Use Model: Only pay for storage actually used with no minimum fees.
  • Concurrent Access: Thousands of EC2 instances can access files simultaneously.
  • Cross-AZ Connectivity: Mount file systems across multiple Availability Zones.
  • On-Premises Integration: Connect on-premises servers via AWS Direct Connect or VPN.

Benefits: EFS provides petabyte-scale shared file storage with automatic scaling, Multi-AZ durability, and cost optimization through intelligent lifecycle management.

Use case: Ideal for content repositories, web serving, data analytics, container storage, and any application requiring shared file access across multiple instances.

Additional Resources​