Greetings, #AwesomeAdmins! Today, we discuss a practice that’s crucial to your Salesforce implementation: performance testing. It’s important to regularly measure and maintain the responsiveness of your system, especially as your usage scales. But in order for your test results to accurately reflect the performance observed in real-world scenarios, you want your test data to match production data as closely as possible. The importance of test data quality in performance and scale tests is discussed further in this blog post.
What does it mean for your test data and production data to match? Ideally, you want to have roughly the same quality and variety of test data that you have in production data. If you’re planning to run performance and scale tests, the quantity and the distribution of data play important roles, too.
In this post, we walk you through data modeling requirements and a step-by-step methodology for preparing and designing
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