What I like most about Amazon EFS is that it provides a fully managed, scalable shared file system that multiple applications and compute instances can access at the same time. Unlike traditional storage systems, its capacity scales automatically, so there’s no need for manual provisioning.

I also appreciate how seamlessly it integrates with EC2, ECS, EKS, and Lambda, which makes it straightforward to support workloads that need persistent shared storage. The shared storage capability is a major benefit for me.

For example, multiple ECS tasks can read from and write to files stored in EFS concurrently without requiring custom synchronization mechanisms. This simplifies application design and lets workloads scale independently while still using the same underlying storage layer. Review collected by and hosted on G2.com.

For high-performance workloads that demand extremely low latency, EFS may not always be the most cost-effective choice. Choosing the appropriate performance mode, throughput mode, and lifecycle policies takes some upfront planning. For large-scale storage workloads, EFS can also become expensive compared to object storage options like S3. Depending on your workload characteristics, performance tuning and selecting the right throughput settings may require additional planning as well. Review collected by and hosted on G2.com.