pipekit/talk-demos
Code & docs for Pipekit's talks
This repository provides practical demonstrations and code examples for leveraging Argo Workflows in various cloud-native scenarios. It takes real-world use cases, like building CI/CD pipelines, orchestrating data science tasks, or training large language models, and shows how Argo Workflows can be applied. The content is designed for platform engineers, DevOps specialists, and data scientists looking to implement robust, scalable workflow automation.
Use this if you are a platform engineer or data scientist looking for concrete examples and best practices to implement complex, scalable workflows using Argo Workflows, especially for CI/CD, data processing, or machine learning.
Not ideal if you are a beginner looking for an introduction to general workflow concepts, as this content assumes familiarity with cloud-native technologies and Argo Workflows.
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Language
Python
License
AGPL-3.0
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Last pushed
Mar 20, 2026
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