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Why you should be using structured logs

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This talk was presented at PyBay2019 - 4th annual Bay Area Regional Python conference. See pybay.com for more details about PyBay and click SHOW MORE for more information about this talk.

Description At Stitch Fix most application logs are output in a structured JSON format for simpler debugging and downstream consumption.

In this talk we’ll cover in more detail why structured logs are useful and provide leverage, caveats to using them, and how simple it is to get one going with Python.

Abstract At Stitch Fix most application logs are output in a structured JSON format for simpler debugging and downstream consumption. For example, data scientists can add a field to their application log and it will automatically turn up as a parsed field in Elasticsearch for easy dashboarding and querying via Kibana, or be easily found and queried in Presto. In this talk we’ll cover in more detail why structured logs are useful and provide leverage, caveats to using them, and how simple it is to get one going with Python.

About the speaker Stefan loves the stimulus of working at the intersection of design, engineering, and data. He grew up in New Zealand, speaks Polish, and spent formative years at Stanford, LinkedIn, Nextdoor & Idibon. Outside of work Stefan likes to 🏊, 🌮, 🍺, and ✈.

Sponsor Acknowledgement This and other PyBay2019 videos are via the help of our media partner AlphaVoice (https://www.alphavoice.io/)!

#pybay #pybay2019 #python #python3 #gdb

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