What are the best practices for production profiling?
An example of an AI chatbot conversation about best practices for profiling in production environments.
What are the best practices for production profiling?
Best practices for production profiling include monitoring performance metrics, using sampling techniques, and minimizing overhead.
Can you explain why monitoring performance metrics is important?
Monitoring performance metrics helps identify bottlenecks, optimize resource usage, and ensure application reliability.
What tools do you recommend for profiling in production?
Some popular tools for production profiling are New Relic, Datadog, and Prometheus, each offering unique features.
How can I minimize the overhead of profiling?
To minimize overhead, use lightweight profiling tools, sample data at intervals, and profile only critical paths.
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