Developers Have the Logs Their Imagination Allows
summary
Covers using Python’s standard logging module instead of print for debugging, including benefits and configuration. Shows how to integrate logging into projects, capture errors in asynchronous applications, configure logging for open-source libraries, and use logs as a realtime profiler to find performance bottlenecks and investigate incidents.
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chapters (10)
- 0:00Introduction
- 1:07Why logs in development
- 3:17Logging in Python
- 8:38Log writing mistakes
- 11:05Log handler types
- 14:41Profiling with logs
- 17:12Log context and adapters
- 20:50Logs' performance impact
- 23:04Logs as profiling tool
- 24:08Q&A
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