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Loosely-coupled architectural implementations ( e. g.: SOA ) have created additional complexities with performance testing.
Enterprise services or assets ( that share a common infrastructure or platform ) require coordinated performance testing ( with all consumers creating production-like transaction volumes and load on shared infrastructures or platforms ) to truly replicate production-like states.
Due to the complexity and financial and time requirements around this activity, some organizations now employ tools that can monitor and create production-like conditions ( also referred as " noise ") in their performance testing environments ( PTE ) to understand capacity and resource requirements and verify / validate quality attributes.

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