![]() Files older than a quarter are not used by normal activities but need to be kept for a longer time. My workloads rarely use files older than one month. Now, I configure Lifecycle management to transition files into EFS IA or EFS Archive based on my workload’s access patterns. ![]() Elastic Throughput is the recommended choice for most workloads because it is designed to provide applications with as much throughput as they need with pay-as-you-use pricing. To use EFS Archive storage, the file system Throughput mode must be Elastic. In the Amazon EFS console, I select one of my file systems and choose Edit. To use the new EFS Archive storage class, I need to configure lifecycle management for the file system. Using EFS Archive, you can optimize costs for workloads with large file-based datasets that contain a mix of active and inactive data such as user shares, machine learning (ML) training datasets, SaaS applications, and data retained for regulatory compliance like financial transactions and medical records. This simplified storage approach allows end users and applications to collaborate on large shared datasets in one place, making it easier and quicker to set up and scale analytics workloads. With EFS Archive, you can store rarely accessed data cost-effectively while keeping it in the same shared file system as other data. Many datasets have subsets of data that are valuable for generating insights but aren’t often used. This allows you to have a single shared file system that contains files processed in very different ways: from active latency-sensitive to cold rarely-accessed data. You don’t need to manually pick and choose a storage class for your file systems because EFS lifecycle management can automatically migrate files across storage classes based on their access patterns. EFS Archive – Cost-optimized for long-lived data accessed a few times a year or less and offering similar performance to EFS IA.Īll Regional storage classes deliver gigabytes-per-second throughput and hundreds of thousands of IOPS performance and are designed for eleven nines of durability. ![]()
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