Stress testing of web applications in public clouds

In this master thesis we are solving the problem of scalability testing and estimating the costs associated with increased load on web application, with which many companies are facing nowadays. We focus on testing of Amazon Web Services and Google Cloud Platform public clouds. Our approach to solving the problem is with load testing, that's why we develop sample web application and tools to execute the load tests. For developing the web application and tools we used TPC-W standard. We also execute the load test according to TPC-W standard. Based on TPC-W metrics, we develop two new metrics that we use for evaluating load tests. First we perform the measurements with manual scaling and then with automated scaling. After that we evaluate the measurements with newly defined metrics, make the cost model for each cloud and compare them.