The data required to evaluate can eventually be used with obligatory tinkering for performance test benchmark. Test Data Setup - It is easy to plugin applications in cloud-based setup to collate the information such as address, SSN and trade transactions, which help in evaluating the performance of these applications in real world.
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If there is any critical data, such as banking or regulatory related information, ensure to encrypt the data, self-clean the logs or archive the logs in private domain, or opt for virtual private cloud. Data Check & Retention - Cloud tools offer data retention policy based on the enrolled package.Variety of configurations suitable to the situations could also be evaluated in the pre-scripting phase. Environment Setup Complexity - The time needed to build a setup to conduct performance testing, evaluate current infrastructure based on the latest application and check for environment readiness, could be a game changer in selecting the sprint wise model.The key areas to consider are mentioned under Pre-requisite, Test Scripting, Test Execution and Reporting sections. Hence, for evaluation purpose, we have chosen a setup to suit business requirements. Hardware maintenance cost needs to be optimizedĪs a necessity, cloud setups are considered to provide elasticity and flexibility along with quick adoption towards desired configurations of components, whenever and whatever required, based on various factors.Performance lab being setup for the first time and requires OnDemand resources.Performance lab needs to be setup quickly for production testing.Application hosted in various geo locations, to simulate similar kind of scenario.Customer facing applications, hosted outside the firewall.High user load requirement, and current infrastructure is not dynamic enough to cater the load in short period of time.
Below architecture shows how the Infrastructure as a service (IaaS) model has been utilized to leverage the cloud services for traditional IT testing process. The scope of this article revolves around the second cloud based testing approach where the application resides within the on-premise lab, and traffic is being generated using cloud computing tools and services available in the market.
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