Vertical Scaling and Horizontal Scaling

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Vertical Scaling Horizontal Scaling

• Horizontal Scaling VM

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Vertical Scaling

• It refers to adding more resources (CPU/RAM/DISK)
  to your server as on demand.
• Most commonly used in applications and products
  of middle-range as well as small and middle-sized
  companies
• The reasons to scale vertically includes
  increasing IOPS amplifying CPU/RAM capacity, as
  well as disk capacity.

3
Horizontal Scaling 

• Its use whenever a high availability of (server)
  services are required.
• It involves growing the number of nodes in the
  cluster.
• spreading the key space wider and providing
  additional end-points for client connections
• It used for high level of computing and for
  application and services.
• Scale Horizontally beneficial for
  include increasing I/O concurrency, reducing the
  load on existing nodes, and increasing disk
  capacity.

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Difference Between Horizontal Vertical Scaling

• Vertical Scaling

• Horizontal-scaling

• Based on partitioning of the data
• Each node contains only part of the data.
• Add more machines into the existing pool
• Example of horizontal scaling is Cassandra,
  MongoDB

• Data resides on a single node
• Spreading the load between the CPU and RAM
  resources.
• Limited to the capacity of a single machine.
• Example of Vertical Scaling is Virtual Machine
  hypervisor (VMWare ESX).

5
Which is more Feasible?

• Horizontal scaling or scale dynamically is quite
  easy as you can add more machines into the
  existing pool.
• Vertical-scaling on the contrary is often limited
  to the capacity of a single machine.
• To achieve superior performance issues you can
  use either vertical scaling or horizontal scaling
  or both in cloud environments

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Vertical Scaling Horizontal Scaling
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