What are the best practices in performance profiling?
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What are the best practices in performance profiling?
Performance profiling involves analyzing your application's performance to identify bottlenecks. Key practices include using profiling tools, measuring performance metrics, and optimizing code based on findings.
Can you recommend some profiling tools?
Sure! Some popular profiling tools are VisualVM, YourKit, and JProfiler for Java applications, and for Python, you can use cProfile or Py-Spy.
How often should I perform performance profiling?
It's best to profile your application during the development phase, after major changes, and periodically in production to ensure optimal performance.
What metrics should I focus on while profiling?
Focus on metrics like CPU usage, memory consumption, response time, and throughput. These will give you a comprehensive view of your application's performance.
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