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Merge pull request #88 from MichaelClifford/restructure
restructure docs directory and toc
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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 | ||
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- 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 | ||
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- caption: Visualization | ||
chapters: | ||
- file: docs/visualization/data-visualization-best-practices | ||
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- caption: Serving + Monitoring | ||
chapters: | ||
- file: docs/serving_monitoring/deploy-models-using-seldon | ||
- file: docs/serving_monitoring/monitoring-jh | ||
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- 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 |
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### **Creating Automated Model Workflows** | ||
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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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**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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* **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. | ||
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[12]: https://www.operate-first.cloud/hitchhikers-guide/apps/docs/odh/jupyterhub/runbook.md | ||
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[13]: https://grafana.operate-first.cloud/ |
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### **Set Up AICoE Continuous Integration (CI)** | ||
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[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. | ||
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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). | ||
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### **Managing Dependencies** | ||
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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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