In a three layer architecture with the database on the fourth, what does scaling horizontally
and scaling vertically
mean?

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2 Answers
Vertical Scaling
Vertical scaling, or improving the capabilities of a node/server, gives greater capacity to the node but does not decrease the overall load on existing members of the cluster. That is, the ability for the improved node to handle existing load is increased, but the load itself is unchanged. Ways to scale vertically include increasing IOPS, increasing CPU/RAM capacity, and increasing disk capacity.
Horizontal Scaling
Horizontal scaling, or increasing the number of nodes in the cluster, reduces the responsibilities of each member node by spreading the keyspace wider and providing additional endpoints for client connections. That is, the capacity of each individual node does not change, but its load is decreased. Reasons to scale horizontally include increasing I/O concurrency, reducing the load on existing nodes, and increasing disk capacity.
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25The statement *"**Reasons** to scale vertically include increasing IOPS, increasing CPU/RAM capacity, and increasing disk capacity"* does **not** make sense. Those are not *reasons* to scale vertically, those are *how* you scale vertically; *reasons* to scale vertically should explain *why* one should scale vertically, not the *how*. – Nawaz May 22 '17 at 11:48