Horizontal vs vertical scaling

In real world we do have a lot of data to handle on the server side . SO to distribute the data we can have 2 types of server configuration on node level
1)Horizontal scaling (But more machines) : When we distribute the bulk of data among multiple servers/nodes.This is horizontal scaling

Note : Because there are lot of nodes distributed to handle the request’s. So the request can fall on any node randomly.

Features :

a)In horizontal scaling , we need load balancer . 


c)RPC  (Remote process call): The communication between the nodes/servers are over network. so communication between the nodes are slow

d)Data consistency problem occurs. May be some node is fast while other is slow

e)scalability : As in horizontal scaling we can add n number of nodes so it is salable

2)Vertical Scaling (Buy bigger machine) :  In this type of configuration we do have only single server. As the amount of data increases, we go increasing the hardware asset for the system.(RAM + hard disk + processor)

Features :

a)In Vertical scaling no load balancer required. 

b)Single source of failure

c)IPC (Inter process call): Because in vertical scaling we have single machine so there is inter process communication . so it is fast

d)Data consistent : Because there is a single machine so we do have the data consistency there

e)Not salable : Hardware limit

Which is better ?

Both scaling types has their own benefits as well as drawbacks
 1)Vertical scaling : In vertical scaling  2 things are good. 
a)Inter process communication

b)Data consistency

2)Horizontal scaling : In horizontal scaling 2 things are good :
a)Resilient : It means if one system crashes the other is ready to be used

b)Scalable :  As more and more request’s are coming we can add more and more nodes

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