What are some common mistakes in stress testing?
An example of an AI chatbot conversation about common mistakes in stress testing.
What are some common mistakes in stress testing?
Some common mistakes include not simulating real-world scenarios, ignoring bottlenecks, and inadequate test data.
Can you explain why simulating real-world scenarios is important?
Simulating real-world scenarios helps identify how the system behaves under actual user loads, ensuring reliability.
What about ignoring bottlenecks? How does that affect the testing?
Ignoring bottlenecks can lead to undetected performance issues, which may cause system failures during peak usage.
What kind of test data should I use for stress testing?
You should use data that reflects actual user behavior, including edge cases and peak load conditions.
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