Amazon ElastiCache is a fully managed in-memory data store service that allows you to improve the performance of your applications by retrieving data from fast, managed, and scalable in-memory caches instead of relying on slower disk-based databases.
ElastiCache can be used in both serverless and non-serverless environments. Amazon ElastiCache for Redis offers a serverless option called "Auto Scaling" that enables you to automatically add or remove cache nodes based on your application's load. With Auto Scaling, you can specify the minimum and maximum number of cache nodes your application requires, and it will automatically scale up or down to meet demand while ensuring high availability and durability.
To create a serverless Amazon ElastiCache cluster using Auto Scaling, you can use the AWS Management Console, AWS CLI, or AWS SDKs. Here's an example command to create a Redis cluster using Auto Scaling with the AWS CLI:
aws elasticache create-cache-cluster --engine redis --cache-cluster-id myrediscluster --num-cache-nodes 1 --cache-node-type cache.t2.micro --auto-pause --max-memory-gb 0.5 --tags Key=Name,Value=myrediscluster
In this example, the --auto-pause flag tells ElastiCache to automatically pause and resume the cluster when there is no client activity, reducing costs by avoiding paying for unused resources. The --max-memory-gb parameter specifies the maximum amount of memory that the cluster can use.
Overall, while ElastiCache is not exclusively designed for serverless usage, the "Auto Scaling" feature provides a serverless option for auto-scaling ElastiCache clusters based on demand.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.