Scaling In Vs Scaling Out

Scaling In Vs Scaling Out :

Once a decision has been made for data scaling, the specific scaling approach must be chosen.

There are two commonly used types of data scaling :

1. Up
2. Out

Scaling up, or vertical scaling :

It involves obtaining a faster server with more powerful processors and more memory.

This solution uses less network hardware, and consumes less power; but ultimately.

For many platforms, it may only provide a short-term fix, especially if continued growth is expected.

Scaling out, or horizontal scaling :

It involves adding servers for parallel computing.

The scale-out technique is a long-term solution, as more and more servers may be added when needed.

But going from one monolithic system to this type of cluster may be difficult, although extremely effective solution.