Instrumentation, Observability, and Monitoring of Machine Learning - - PowerPoint PPT Presentation

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Instrumentation, Observability, and Monitoring of Machine Learning - - PowerPoint PPT Presentation

Instrumentation, Observability, and Monitoring of Machine Learning Models 1 About Me Google Engineer (2007-11) Clouderas Director of Data Science (2011-15) Slacks Director of Data Engineering (2015-2017) Slack Engineer


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Instrumentation, Observability, and Monitoring of Machine Learning Models

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About Me

  • Google Engineer

(2007-11)

  • Cloudera’s Director of

Data Science (2011-15)

  • Slack’s Director of Data

Engineering (2015-2017)

  • Slack Engineer (now)
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“”

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“”

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The Genesis of This Talk

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Machine Learning In the Wild

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Data Science Meets DevOps

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Some History

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Logs via the ELK Stack

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Metrics with Prometheus

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Prometheus Architecture

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Traces

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A Word About Cardinality

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Make Good Decisions By Avoiding Bad Decisions

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The ML Test Score

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The Map Is Not The Territory

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Monitor Model Decay

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Build Lots of Models

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Deploy Your Models Like They Are Code*

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Stand On The Shoulders of Giants

  • Ensembles
  • Experiments
  • Dark Tests
  • Canary
  • Sanity Checks
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Tag All The Things

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Circle of Competence

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Garbage In...

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Linking Online and Offline Metrics

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Handling Cross-Language Feature Engineering

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Know Your Dependencies

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Monitoring For Critical Slices

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Second-Order Thinking

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On Razors

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http://slack.com/careers

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