Hardware Sizing

Small Tier - 16 Core, 128G RAM (r5.4xlarge / E16s v3)

Component	RAM	Cores
Owl Web	2G	2
Owl Database	2G	2
Owl Spark (10) Workers (10G, 1 core each)	100G	10
Overhead	10G	2

Medium Tier - 32 Core, 256G RAM (r5.8xlarge / E32s v3)

Component	RAM	Cores
Owl Web	2G	2
Owl Database	2G	2
Owl Spark (13) Workers (20G, 2 cores each)	250G	26
Overhead	10G	2

Large Tier - 64 Core, 512G RAM (r5.16xlarge / E64s v3)

Component	RAM	Cores
Owl Web	4G	3
Owl Database	4G	3
Owl Spark (27) Workers (18G, 2 cores each)	486G	54
Overhead	18G	4

Cluster

If your program requires more horsepower or (spark) workers than the example tiers above which is fairly common in Fortune 500 companies than you should consider the horizontal and ephemeral scale of a cluster. Common examples are Amazon EMR, Cloudera CDP etc... OwlDQ is built to scale up horizontally and can scale to hundreds of nodes.