How To Systematically Estimate Your Web Hosting Needs ECommerce Articles | November 8 Chris Kreider Jersey , 2015
Spending on web hosting can be a big deal if you are dependent on an online system for your business. While estimating your web hosting needs may seem like child's play, it is nothing less than a science. This article deals with how and why you should scientifically estimate your web hosting resource requirement, rather than guessing.


Spending on web hosting can be a big deal if you are dependent on an online system for your business. While estimating your web hosting needs may seem like child's play, it is nothing less than a science. Although your developer may be able to estimate your needs from the top of his head, the guesstimation is almost always wrong. This article deals with how and why you should scientifically estimate your web hosting resource requirement, rather than guessing.


Don't rely on guesses


If your guess of how much space or bandwidth you need is right you are lucky. If the guess over estimates the resources and you end up having more resources Marc Staal Jersey , it is still tolerable, because the only thing you really lose is the money required on the extra space etc. A bit of redundancy of resources is good. Infact, web hosts and data centers offer a redundancy of N + 1 for almost all hardware, which means that they have atleast 1 standby unit, in case of failure. But the worst estimation is when you require a lot more but end up having a minuscule amount. This can be damaging and harmful to your business and to your online presence.


Use benchmarking tools


Even those businessmen who want an accurate prediction of what they need, end up guessing or taking an educated guess Kevin Hayes Jersey , mostly due to the lack of knowledge of benchmarking tools and lack of planning. There are various paid and free benchmarking tools available in the market and most of the tools are pretty easy to use, even for a non-geeky person. The tools often "stress test" current systems or run an algorithm to predict future use, so that every resource required is carefully estimated.