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The document discusses DynMX Supply Chain Apps which provide visualization and analysis tools for supply chain optimization. The apps allow users to perform ABC analysis to classify stock articles based on value, create Sankey diagrams to visualize product flows showing quantities and values, and analyze supply chain data to gain insights. The analysis can be done independently using the apps or contracted through Act2Vision who provides the tools and performs the analyses.

4.3.application performance

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Performance testing is used to determine the speed and effectiveness of software. It involves testing a system under pressure to analyze response times, throughput, and identify bottlenecks. The key aspects of performance testing include load testing by simulating peak usage, stress testing beyond normal limits, tuning to optimize performance, and benchmarking to compare a product's performance against competitors. The performance testing process involves planning test objectives, recording usage scenarios, modifying scripts to simulate realistic loads, executing tests while monitoring performance, and analyzing results to identify issues.

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Virtual server hosting provides several benefits: it can reduce costs by increasing server utilization from 10-15% to 80% through hardware consolidation; improve flexibility and responsiveness with the ability to provision and migrate servers anywhere on demand; and offer a resilient environment with high availability and scalability without the need for customers to invest in their own hardware. InTechnology's virtual server hosting service leverages proven VMware virtualization technology and enterprise-class NetApp and EMC storage to provide flexible, on-demand virtual server resources that scale with customer needs in a cost-effective and sustainable way.

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Although it is generally believed that the biggest challenge of architecting a cloud application is security and reliability, there is another major dimension which is generally overlooked, which is, cost optimization. In response to a poll by Tech Republic on “What is the main risk with cloud computing?”, 59% of the participants identified data security to be the main concern and 20% thought it was reliability of the cloud services. The fact that the applications need to be designed differently to take advantage of cloud and thus reduce cost did not even enter into the consideration. Traditionally, actual cost of deployment has never directly been considered as a parameter of architectural tradeoffs. Specific parts of the application may get tuned based on the result of load testing. Post deployment, tuning may also happen if the response time is unacceptably slow. Since the hardware and software is a capital expenditure, the sizing is done to take care of future needs and initially there will always be unutilized capacity. So, once the initial investment is made, there is no incentive for spending effort on optimizing the application. But, when the application is deployed in the cloud it is no longer true. CIOs are taking a serious look at cloud computing for its promise of cost saving through “pay for what you use” philosophy. That implies: Don’t pay for unutilized resources Less resource consumed means more saving So, for any cloud application, there will always be an incentive to build and optimize applications to consume lesser resources. Not only is there a paucity of available benchmarks and guidelines, but also the cloud scenario itself is constantly changing. To top that, major cloud platforms differ from each other and the right approach for one may be ineffective and even wrong for another. The best practices will evolve over a period of time but in the mean time, what does an architect do?

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