DevOps and Docker Talk: Cloud Native Interviews and Tooling
DevOps and Docker Talk: Cloud Native Interviews and Tooling
Bret Fisher
MLOps for DevOps People
48 minutes Posted Sep 6, 2024 at 5:48 am.
) Intro
) Maria's Content
) Tools and Technologies in MLOps
) DevOps vs MLOps: Key Differences
) Transitioning from DevOps to MLOps
) Model Accuracy vs Computational Efficiency
) MLOps with Sensitive Data
) MLOps Roadmap and Getting Started
) Tools and Platforms for MLOps
) Adapting MLOps Practices to Future Trends
) Is Golang an Option for CI/CD Automation?
Intro
Maria's Content
Tools and Technologies in MLOps
DevOps vs MLOps: Key Differences
Transitioning from DevOps to MLOps
Model Accuracy vs Computational Efficiency
MLOps with Sensitive Data
MLOps Roadmap and Getting Started
Tools and Platforms for MLOps
Adapting MLOps Practices to Future Trends
Is Golang an Option for CI/CD Automation?
0:00
48:29
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Show notes
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.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 LinkedInMarvelous MLOps SubstackMarvelous MLOps YouTube ChannelCreators & Guests
Cristi Cotovan - Editor
Beth Fisher - Producer
Bret Fisher - Host
Maria Vechtomova - Guest
Nirmal Mehta - Host
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