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restructure docs directory and toc
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MichaelClifford committed Dec 15, 2021
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41 changes: 29 additions & 12 deletions _toc.yml
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format: jb-book
root: README
parts:
- caption: Getting started
- caption: Setup Environment
chapters:
- file: docs/getting-started
- file: docs/how-to-contribute
- caption: AIOps projects
- file: docs/setup_environment/odh_and_opf
- file: docs/setup_environment/JH_access
- file: docs/setup_environment/remote-storage
- file: docs/setup_environment/thoth

- caption: Develop + Collaborate
chapters:
- file: docs/aiops-projects
- file: docs/project-document-template
- file: docs/project-structure
- caption: Best Practices and Guidelines
chapters:
- file: docs/guidelines-for-reviewing-datascience-code.md
- file: docs/data-visualization-best-practices.md
- file: docs/create_and_deploy_jh_image.md
- file: docs/develop_collaborate/automated-pipelines
- file: docs/develop_collaborate/thoth-tools
- file: docs/develop_collaborate/create_and_deploy_jh_image
- file: docs/develop_collaborate/meteorize

- caption: Visualization
chapters:
- file: docs/visualization/data-visualization-best-practices

- caption: Serving + Monitoring
chapters:
- file: docs/serving_monitoring/deploy-models-using-seldon
- file: docs/serving_monitoring/monitoring-jh

- caption: Project Structure
chapters:
- file: docs/project_structure/getting_started
- file: docs/project_structure/project-structure
- file: docs/project_structure/project-document-template
- file: docs/project_structure/how-to-contribute
- file: docs/project_structure/boards-and-issues
- file: docs/project_structure/guidelines-for-reviewing-datascience-code
3 changes: 3 additions & 0 deletions docs/develop_collaborate/automated-pipelines.md
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### **Creating Automated Model Workflows**

To automate your notebook workflows using Elyra and Kubeflow Pipelines on Open Data Hub, you can refer to the [guide](https://github.com/AICoE/elyra-aidevsecops-tutorial) and view our video [tutorial](https://www.youtube.com/watch?v=iMSOal8wRj4).
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3 changes: 3 additions & 0 deletions docs/develop_collaborate/meteorize.md
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**How to Meteorize the repository**
- To meteorize your github repository, first start with making a jupyterbook. You can refer to the tutorial [here.](https://github.com/AICoE/meteor/blob/main/docs/build-jupyterbooks.md)
- After you have the jupyterbook ready, head to [meteor](https://shower.meteor.zone/) to meteorize the project repository.
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8 changes: 8 additions & 0 deletions docs/serving_monitoring/monitor-jh.md
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* **How to Monitor JupyterHub workloads using Grafana dashboards**
- (Video tutorial forthcoming)
- To troubleshoot issues while running your notebooks, you can refer to the [Troubleshooting Runbooks][12]
- You can refer the existing [Grafana dashboard][13] for monitoring your Jupyterhub workloads such as CPU, RAM usage, percentage PVC usage.

[12]: https://www.operate-first.cloud/hitchhikers-guide/apps/docs/odh/jupyterhub/runbook.md

[13]: https://grafana.operate-first.cloud/
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10 changes: 10 additions & 0 deletions docs/setup_environment/thoth.md
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### **Set Up AICoE Continuous Integration (CI)**

[AICoE-CI](https://github.com/aicoe/aicoe-ci#getting-started) can aid various aspects of a development workflow such as running pre-commit checks, build checks, triggering pipelines to build images, etc.

For more information on AICoE CI and how to set it up for your project, you can follow the documentation [here](https://github.com/aicoe/aicoe-ci#getting-started).


### **Managing Dependencies**

Guidance for managing notebook dependencies can be found in this [video](https://www.youtube.com/watch?v=ifyQ2oSxjnU&list=PL8VBRDTElCWpneB4dBu4u1kHElZVWfAwW&index=4). The repository for our dependency management tool can be found [here](https://github.com/thoth-station/jupyterlab-requirements).
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