Capacity Modeling The next milestone in Performance Engineering

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Enterprises keep pondering everytime they get into production if their Capacity is built right. With the technology advancements, the validation of the application performance is measured on in-house environments which cannot the production equal infrastructure. There had always been urge in 'extrapolating' the study and designing the target capacity. While provisioning the VM in cloud is cheaper though, the forecast on the performance in various tiers is indispensable. This avoids greater revamps to the capacity of the data center the enterprises have set up.

With the basic Airthmetic laws, the performance test results can be extrapolated that can lay down adequate guidelines in designing the capacity. Is this an art or science? It is a combination of both. In the years, there had been adequate standardization of these capacity planning techniques. It is important for the performance engineer to understand its importance and provide relevant measures for completing the performance testing lifecycle.
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