Machine Learning Pipelines with K3s and Argo – Sergio Mendez
summary
Describes building machine learning pipelines using K3s (lightweight Kubernetes) and Argo (workflows/Argo CD). Covers how to run, orchestrate and deploy ML tasks on edge or resource-constrained clusters with these tools, including pipeline composition and execution management.
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chapters (14)
- 0:00Introduction
- 2:08AI and containers
- 4:37Container orchestrators
- 6:47Edge computing and ARM
- 9:19K3s for edge
- 13:23K3s setup
- 13:46DevOps culture
- 15:55MLOps overview
- 18:22DevOps vs MLOps
- 20:52MLOps tools
- 21:55Argo Workflows and CD
- 23:16Argo benefits
- 23:40ML pipeline demo
- 28:21Q&A
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