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DevOps and Docker Talk: Cloud Native Interviews and Tooling

İçerik Bret Fisher tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Bret Fisher veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

1M ago 48:29

MP3•Bölüm sayfası

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.

Be sure to check out the live recording of the complete show from June 20, 2024 on YouTube (Stream 271).

★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?

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