Amazon ElastiCache Node
Does ZopNight manage Amazon ElastiCache Node?
ElastiCache bills by the node-hour, and a node is exactly what this page covers: one cache instance within a cluster, metered at its instance type's rate for every hour it exists. ZopNight discovers nodes alongside their parent cluster on the 6-hour cycle, attributes cost per node, and feeds node metrics into cluster rightsizing.
Rules that fire on Amazon ElastiCache Node
No active rule family targets Amazon ElastiCache Node today. Rules that used to are retired, and retired rules publish no pages and fire no findings. Scheduling and permissions coverage are unaffected.
At a glance
| Field | Value |
|---|---|
| Scheduling notes | discovery and cost attribution only; recommendations are applied at the cluster level. |
An ElastiCache node is an individual cache instance within a cluster, and the unit ElastiCache actually bills by the hour. Node-level visibility shows exactly which shards and replicas drive a cluster’s cost.
The hour-by-hour unit of cache spend
Whatever the cluster topology (a single Memcached node, a Redis primary with replicas, a sharded cluster-mode deployment), the invoice is node-hours: each node bills its instance type’s hourly rate for as long as it exists. Cluster design choices are therefore multiplication factors. Two replicas per shard triples the node count; six shards at three nodes each is eighteen meters running. Reserved-node pricing discounts committed usage, and data tiering on the r6gd family shifts the storage/memory economics, but nothing changes the basic arithmetic: topology times instance size times hours.
Node-level attribution, cluster-level fixes
ZopNight discovers nodes automatically alongside their parent cluster on the 6-hour cycle, attributing cost per node and feeding node-level metrics into cluster rightsizing recommendations. The split exists because the two levels answer different questions: node data shows which shards and replicas the money actually goes to and whether load is balanced across them; the actionable change, whether fewer replicas, a smaller instance class, or fewer shards, is a cluster-level operation, and ZopNight applies its recommendations there rather than to individual nodes.
Topology habits that multiply node-hours
Replica counts copied from production into every environment are the standard leak: a dev cache with two replicas per shard pays high-availability rates to protect data that regenerates on a miss. Memory headroom compounds it: clusters sized at a fraction of memory utilization, where one instance class down would halve the node rate. And hot-key skew wastes capacity horizontally: five shards idling while one works means the cluster is paying for parallelism the key distribution never uses.
Reading node economics in the console
The ElastiCache console shows each cluster’s node list with instance types and per-node CloudWatch links; memory usage, engine CPU, and cache-hit metrics per node reveal skew and headroom. Multiplying visible node count by instance rate makes any cluster’s monthly floor a one-line calculation.