Keynote - Contributing to Google Cloud Open Source Projects

on YouTube ↗20m

" summary

Overview of concrete entry points into Google Cloud open source: Kubernetes and its dashboard, TensorFlow and style-transfer demos, Apache Beam (with Dataflow/Flint/Spark runners), BigQuery and managed DataProc with initialization action configs. Notes a personal path: publishing a repo in week two using predictive analytics in BigQuery with R, receiving a PR overnight and learning code review practices. Mentoring exists for smaller projects, there are 483 GitHub repos on the org, and the demo repo has 70 stars.

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" chapters (13)

1. 0:00Introduction
2. 3:17About Google
3. 4:58Containers
4. 5:36Kubernetes
5. 6:18Equipment at Ease Dashboard
6. 7:16Machine Learning
7. 8:11Blend
8. 9:20Data Analytics
9. 12:13Personal Story
10. 13:44Pull Requests
11. 14:44Code Review
12. 16:45Homework
13. 18:05Translation

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