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MLOps Coffee Sessions #7 // MLOps and DevOps - Parallels and Deviations // Featuring Damian Brady

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Manage episode 313294520 series 3241972
Content provided by Demetrios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Demetrios or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

MLOps and DevOps have a large number of parallels. Many of the techniques, practices, and processes used for traditional software projects can be followed almost exactly in ML projects. However, the day-to-day of an ML project is usually significantly different from a traditional software project. So while the ideas and principles can still apply, it’s important to be aware of the core aims of DevOps when applying them.

Damian is a Cloud Advocate specializing in DevOps and MLOps. After spending a year in Toronto, Canada, he returned to Australia - the land of the dangerous creatures and beautiful beaches - in 2018. Formerly a dev at Octopus Deploy and a Microsoft MVP, he has a background in software development and consulting in a broad range of industries. In Australia, he co-organised the Brisbane .Net User Group, and launched the now annual DDD Brisbane conference. He regularly speaks at conferences, User Groups, and other events around the world. Most of the time you'll find him talking to software engineers, IT pros and managers to help them get the most out of their DevOps strategies.

|| Links Referenced in the Show ||
MLOps, or DevOps for Machine Learning: https://damianbrady.com.au/2019/10/28/mlops-or-devops-for-machine-learning/
Microsoft Azure Machine Learning: http://ml.azure.com/
MLOps Coffee Sessions #6 Continuous Integration for ML // Featuring Elle O'Brien: https://www.youtube.com/watch?v=L98VxJDHXMM
MLOps: Isn’t that just DevOps? Ryan Dawson speaks at MLOps Coffee Session: https://www.seldon.io/mlops-isnt-that-just-devops-ryan-dawson-speaks-at-mlops-coffee-session/
DVC - Data Version Control: https://dvc.org/
Pachyderm - Version-controlled data science: https://www.pachyderm.com/
Databricks - Unified Data Analytics: https://databricks.com/

Join our slack community: https://join.slack.com/t/mlops-community/shared_invite/zt-391hcpnl-aSwNf_X5RyYSh40MiRe9Lw
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/
Connect with Damian on LinkedIn: https://www.linkedin.com/in/damianbrady/

  continue reading

441 episodes

Artwork
iconShare
 
Manage episode 313294520 series 3241972
Content provided by Demetrios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Demetrios or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

MLOps and DevOps have a large number of parallels. Many of the techniques, practices, and processes used for traditional software projects can be followed almost exactly in ML projects. However, the day-to-day of an ML project is usually significantly different from a traditional software project. So while the ideas and principles can still apply, it’s important to be aware of the core aims of DevOps when applying them.

Damian is a Cloud Advocate specializing in DevOps and MLOps. After spending a year in Toronto, Canada, he returned to Australia - the land of the dangerous creatures and beautiful beaches - in 2018. Formerly a dev at Octopus Deploy and a Microsoft MVP, he has a background in software development and consulting in a broad range of industries. In Australia, he co-organised the Brisbane .Net User Group, and launched the now annual DDD Brisbane conference. He regularly speaks at conferences, User Groups, and other events around the world. Most of the time you'll find him talking to software engineers, IT pros and managers to help them get the most out of their DevOps strategies.

|| Links Referenced in the Show ||
MLOps, or DevOps for Machine Learning: https://damianbrady.com.au/2019/10/28/mlops-or-devops-for-machine-learning/
Microsoft Azure Machine Learning: http://ml.azure.com/
MLOps Coffee Sessions #6 Continuous Integration for ML // Featuring Elle O'Brien: https://www.youtube.com/watch?v=L98VxJDHXMM
MLOps: Isn’t that just DevOps? Ryan Dawson speaks at MLOps Coffee Session: https://www.seldon.io/mlops-isnt-that-just-devops-ryan-dawson-speaks-at-mlops-coffee-session/
DVC - Data Version Control: https://dvc.org/
Pachyderm - Version-controlled data science: https://www.pachyderm.com/
Databricks - Unified Data Analytics: https://databricks.com/

Join our slack community: https://join.slack.com/t/mlops-community/shared_invite/zt-391hcpnl-aSwNf_X5RyYSh40MiRe9Lw
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/
Connect with Damian on LinkedIn: https://www.linkedin.com/in/damianbrady/

  continue reading

441 episodes

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