Today most of the projects which are developed are dealing with huge bytes of data. It is always challenging to handle huge data and retrieving those data quickly makes it more interesting. The stability of the application greatly depends on how the requests are handled and the rate at which the response is received.

Having said that, the application’s speed and performance greatly depends on handling of data. The speed and performance is inversely proportional to the amount of data which is present. The data being the core part we know how important it is to handle them securely. No one in this world can afford to lose data. So the important need is to handle the requests which are flowing in at a huge rate providing the appropriate responses at a faster rate.

Scalability is something which makes it easier to handle these kind of situations. Scalability can be achieved in two ways horizontal and vertical scalability. Horizontal scalability is achieved by adding more resources but challenge lies in handling those huge data with the available resources which is nothing but vertical scaling.

Vertical scaling can be implemented in proxy servers in the name of load balancing. Vertical scaling implements something called as a cluster before the actual server or database something which would control or monitor the performance of the servers behind thereby increasing the average speed at which the responses flow back to the requested pool.

Using proxy servers to handle dynamic data and letting the servers in front to handle the static data is actually preferred way. Talking about stability in these kind of situation, It is possible via load balancing. The dynamic requests which arrive are spread across various instances of the proxy servers which are present behind thus reducing the traffic and increasing the response rate.

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