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A Deep Look at Logging

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A Deep Look at Logging
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93
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173
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CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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Production PlaceBilbao, Euskadi, Spain

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Abstract
Stefan Baerisch - A Deep Look at Logging Do you know what your application did last night? Python logging can help you. This talk you will show you how to implement a systematic logging approach without boilerplate code and how to set up the Python logging module for different needs in production systems. We will see how to work with log files and other logging endpoints. We will address the data protection concerns that come up when logging from application with personal information. We will also look at the performance implications of logging. We will then cover best practices - how to structure logging, what to include in a log message, and how to configure logging for different use cases. We will use the Python standard logging module to implement logging. This talk is useful to beginners with some experience. An understanding of decorators is useful, but not required. Some experience in web programming is a plus.
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