What are some common mistakes in scalability testing?
An example of an AI chatbot conversation about common mistakes in scalability testing.
What are some common mistakes in scalability testing?
Some common mistakes include not testing under realistic conditions, ignoring bottlenecks, and inadequate monitoring.
Can you elaborate on why testing under realistic conditions is important?
Testing under realistic conditions ensures that the system behaves as expected in real-world scenarios, revealing potential issues.
What tools can help with scalability testing?
Tools like Apache JMeter, LoadRunner, and Gatling are popular for conducting scalability tests effectively.
How can I identify bottlenecks during testing?
You can identify bottlenecks by analyzing performance metrics, using profiling tools, and monitoring system resource usage.
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