A fully managed AWS Implementation of Redis and Memcached. It is a key/value store which is In-memory for high performance reads and low latency. It is usually put infront of a database like RDS and DynamoDB To increase read speeds.
It can be used for caching • Data that is same for a long time and frequently accessed • Applications that are tolerant of stale data (cannot be used in real-time) • Data is slow and expensive to get compared to cache retrieval • Require push-button scalability for memory, writes and reads • Often used for storing session state
Scaling
Memcached
- can be scaled by adding nodes to a cluster or by scaling an individual instance vertically.
Redis Cluster mode disable
Can add a replica or change nodetype.
Redis Cluster mode enabled
Use Online Resharding to add or vertically scaling.
Use Offline Resharding to add or upgrade engine (more flexible than online)
