MLOps for DevOps People

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Bret and Nirmal are joined by Maria Vechtomova, a MLOps Tech Lead and co-founder of Marvelous MLOps, to discuss the obvious and not-so obvious differences between a MLOps Engineer and traditional DevOps jobs.
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Maria is here to discuss how DevOps engineers can adopt and operate machine learning workloads, also known as MLOps. With her expertise, we'll explore the challenges and best practices for implementing ML in a DevOps environment, including some hot takes on using Kubernetes.

There's also a video version to watch on YouTube.

★Topics★
Marvelous MLOps on LinkedIn
Marvelous MLOps Substack
Marvelous MLOps YouTube Channel

  • (00:00) - Intro
  • (02:04) - Maria's Content
  • (03:22) - Tools and Technologies in MLOps
  • (09:21) - DevOps vs MLOps: Key Differences
  • (19:22) - Transitioning from DevOps to MLOps
  • (22:52) - Model Accuracy vs Computational Efficiency
  • (24:46) - MLOps with Sensitive Data
  • (29:10) - MLOps Roadmap and Getting Started
  • (32:36) - Tools and Platforms for MLOps
  • (37:14) - Adapting MLOps Practices to Future Trends
  • (44:08) - Is Golang an Option for CI/CD Automation?

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Creators and Guests

Bret Fisher
Host
Bret Fisher
Cloud native DevOps Dude. Course creator, YouTuber, Podcaster. Docker Captain and CNCF Ambassador. People person who spends too much time in front of a computer.
Nirmal Mehta
Host
Nirmal Mehta
Principal Specialist Solutions Architect at Amazon Web Services (AWS)
Beth Fisher
Producer
Beth Fisher
Producer of the DevOps and Docker Talk and Agentic DevOps podcasts. Assistant producer on Bret Fisher Live show on YouTube. Business and proposal writer by trade.
Cristi Cotovan
Editor
Cristi Cotovan
Video editor and educational content producer. Descript and Camtasia coach.
Maria Vechtomova
Guest
Maria Vechtomova
Lead ML engineer at Ahold Delhaize & co-founder Marvelous MLOps
MLOps for DevOps People
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