To increase the memory for an Amazon ElastiCache instance, you need to change the instance type because memory is tied directly to the instance type. The process involves creating a new cache cluster or modifying an existing one.
Here's an outline of how you might complete this process:
import boto3 client = boto3.client('elasticache') response = client.create_snapshot( SnapshotName='my-snapshot', CacheClusterId='my-cache-cluster' )
response = client.create_cache_cluster( CacheClusterId='my-new-cache-cluster', Engine='redis', # or 'memcached' CacheNodeType='cache.r6g.large', # choose the instance type that offers the memory capacity you require NumCacheNodes=1, SnapshotName='my-snapshot' # to restore data from the snapshot we created earlier )
Remember, you should carefully consider the potential impacts on your applications before doing this since it may cause downtime, and different instance types come with different costs.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.