Jean-Mathieu Saponaro from We published more recently a complete series of posts about the top ElastiCache and native cache performance metrics, how to collect them, and how Coursera monitors them. Application caches can greatly improve throughput and reduce latency of read-intensive workloads by boosting the performance of media transfers, games, or social networking applications. AWS ElastiCache is a fully managed in-memory caching service that allows you to choose between Redis and Memcached as its backend caching engine. The integration with Datadog provides a complete set of ElastiCache metrics along with native metrics from the backing software: Redis or Memcached. Default Elasticache integration dashboard displays key ElastiCache metrics, such as throughput measurement, cache hits and misses, evictions, swap usage, current connections, number of nodes per cluster, replication lag, CPU utilization, memory usage reports, memory fragmentation ratio, latency, custom tags, and correlating metrics with cluster-level events. The native metric collection provides real-time and high-resolution data for key performance indicators such as cache hits, misses, evictions, replication lag, current connections, memory usage, memory fragmentation ratio, and latency. Additionally, the integration supports correlation of changes in ElastiCache infrastructure with changes in performance throughout your infrastructure via Datadog's event stream.