Summary

In this chapter, we delved into the fundamentals of DAX and its setup process. We provided a comprehensive overview of the key components that make up a DAX cluster and walked you through the step-by-step process of creating your own DAX cluster. Additionally, we demonstrated how to effectively query a DAX cluster and retrieve cached data.

Moving forward, we explored the synergy between DAX and DynamoDB in enhancing application performance. We examined the TTL feature of DAX, which automatically removes expired items from the cache, optimizing cache size and overall performance. Furthermore, we delved into various caching strategies compatible with DAX, including write-through and write-around, offering insights into their respective advantages and disadvantages. We also shed light on how DAX can facilitate high-volume data delivery by harnessing its automatic sharding and failover capabilities.

Toward the end of this chapter, we took a closer look at alternative in-memory...