A SaaS web app runs on EC2 Linux behind an ALB. It storesuser sessionsin an RDS Multi-AZ database. During high traffic, the app suffers latency due to session read/write. What is the best way to…

Amazon S3 is object storage designed for high durability and scalability, but it is not optimized for low-latency, high-frequency read/write operations required for dynamic user sessions.

Amazon FSx for Windows File Server provides fully managed native Windows file systems, which is not suitable for storing session data for a Linux web application and lacks the low-latency caching characteristics.

Multi-Attach EBS volumes allow multiple EC2 instances to attach to a single block storage volume, primarily for shared storage in cluster scenarios, but it's not a solution for improving database read/write latency for application session data.

Amazon ElastiCache for Redis is an in-memory data store known for its extremely low-latency read and write performance, making it an ideal choice for storing frequently accessed, volatile data like user sessions. Moving session management to Redis offloads the relational database and significantly reduces session-related latency during high traffic.