What are some common mistakes when using pprof?
An example of an AI chatbot conversation about common mistakes with pprof.
What are some common mistakes when using pprof?
Some common mistakes include not using the right flags, overlooking the importance of profiling in production, and failing to analyze the results properly.
Can you explain why profiling in production is important?
Profiling in production helps identify performance bottlenecks that may not appear in development or testing environments.
What flags should I use with pprof?
Common flags include -http to start a web server for visualization, and -seconds to specify the duration of profiling.
How do I analyze the results from pprof?
You can analyze results using the web interface or by exporting data to visualize it with tools like Graphviz.
Are there any tools that can help with pprof analysis?
Yes, tools like Go's built-in pprof tool, Grafana, and other visualization tools can help you analyze pprof data effectively.
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