Episode
MLOps for DevOps People
- Published
- Sep 6, 2024
- Duration seconds
- 2909
- Processing state
processed- Canonical source
- https://podcast.bretfisher.com/episodes/mlops-for-devops-people
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Summary
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. 🙌 The Agentic DevOps Guild has launched! It's a training + community + mentorship program for engineers wanting to learn the latest CI/CD automation and dive into Agentic DevOps. Meetups are happening now, with new course videos dropping every few weeks. Join the Guild and become your team's leader in AI for infrastructure automation https://www.bretfisher.com/theguild 🍾 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 Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Maria Vechtomova - Guest Nirmal Mehta - Host (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? You can also support this podcast by subscribing to my YouTube channel and my weekly newsletter at bret.news ! Grab the best coupons for my Docker and Kubernetes courses . Join my cloud native DevOps community on…