Designing efficient IT systems for data-intensive and highly scalable application domains is complex and risky. Why? Because information and data points are often missing for an informed, holistic decision. For data-intensive applications, the database and cloud (or on-prem) resources are the critical components - and performance and cost are the key SLAs. In this talk, we share our experience and show how this process can be simplified and made more efficient through cloud database benchmarking. Using a real world IoT project from the automotive industry, we demonstrate how to find the optimal cost/performance trade-off for operating a database in the cloud and how to assess performance-related SLAs on multiple levels.
Daniel Seybold, CTO benchANT