| Why on-demand? |
| Why On-Demand? |
With the continuous evolution in internet technologies and the birth of "the cloud",the on-demand model is being widely adopted by more and more companies using a diverse range of applications such as ERP, CRM, APM, Messaging, Project Management and more. When it comes to load testing, the on-demand model may be more attractive. In some cases, the nature of load testing is such that it is a project - based activity that takes place only a number of times per year. During these times, there is a need for significant resources, including computing power, that is all but redundant when no load testing is performed. For this reason, an on-demand model that allows customers to use a turn-key load testing solution and pay only for what they use can be an attractive proposition.
In addition to the above, there are certain advantages to the on-demand model that can be compared against load testing in the traditional software model:
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Load-testing software
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Need to purchase dedicated software using capital expense budgets
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No need to buy software, just pay per use - an operational expense
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Load-testing hardware
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Need to buy/allocate dedicated hardware for generating the load
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Virtual load generators are setup in the cloud and can be turned on and off as needed
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Performance testing experts
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Need to hire and train dedicated staff
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Ness performance experts take full responsibility for the test project
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From the table above we can see that the on-demand model has some advantages. However, this does not mean that the traditional software model is not the preferred alternative for many organizations. Companies that need to decide between the two models should consider the following:
- Do we run many performance projects or just a few?
- Do we already have the knowledge in house or do we need to acquire it?
- Do we have redundant hardware or do we need to buy new hardware?
The on-demand model is a new alternative that addresses the needs of companies that have previously found load testing to be too challenging.
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