Spending time and effort micro-optimizing your code will have little impact on the application and is usually not worth your while.
Identifying macro-level inefficiencies can be deceptively difficult. It requires moving past simple performance metrics to measure usage and impact. Using basic data science techniques makes it possible to clean up the data, detect anomalies, and find a correlation between different parameters such as concurrency, resource usage, and duration.
In the meetup Roni Dover will present an alternative, proactive approach, that would allow developers to use data that is currently just lying in wait in an APM somewhere and make improvements where it really counts to ensure the application can meet its scaling needs.
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