{"id":23370157,"url":"https://github.com/maastrichtu-ids/dsri-workshop-start-app","last_synced_at":"2026-02-01T04:31:38.260Z","repository":{"id":45988260,"uuid":"317643954","full_name":"MaastrichtU-IDS/dsri-workshop-start-app","owner":"MaastrichtU-IDS","description":"⚡ Short workshop to start Data Science applications on the Data Science Research Infrastructure at Maastricht University","archived":false,"fork":false,"pushed_at":"2021-11-22T17:44:27.000Z","size":68,"stargazers_count":4,"open_issues_count":2,"forks_count":1,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-08-22T15:55:42.396Z","etag":null,"topics":["data-science","data-science-research","dsri","openshift","workshop"],"latest_commit_sha":null,"homepage":"https://maastrichtu-ids.github.io/dsri-workshop-start-app","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MaastrichtU-IDS.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-12-01T19:18:38.000Z","updated_at":"2025-04-20T17:11:37.000Z","dependencies_parsed_at":"2022-09-01T05:21:13.924Z","dependency_job_id":null,"html_url":"https://github.com/MaastrichtU-IDS/dsri-workshop-start-app","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MaastrichtU-IDS/dsri-workshop-start-app","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaastrichtU-IDS%2Fdsri-workshop-start-app","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaastrichtU-IDS%2Fdsri-workshop-start-app/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaastrichtU-IDS%2Fdsri-workshop-start-app/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaastrichtU-IDS%2Fdsri-workshop-start-app/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MaastrichtU-IDS","download_url":"https://codeload.github.com/MaastrichtU-IDS/dsri-workshop-start-app/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaastrichtU-IDS%2Fdsri-workshop-start-app/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28967901,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-01T03:46:10.227Z","status":"ssl_error","status_checked_at":"2026-02-01T03:46:01.693Z","response_time":56,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","data-science-research","dsri","openshift","workshop"],"created_at":"2024-12-21T15:34:24.801Z","updated_at":"2026-02-01T04:31:38.245Z","avatar_url":"https://github.com/MaastrichtU-IDS.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"A workshop to get started with the [**Data Science Research Infrastructure (DSRI)**](https://maastrichtu-ids.github.io/dsri-documentation/) in an hour 🕐 (hopefully)!\n\nDuring this workshop, you will:\n\n* Access the Data Science Research Infrastructure web UI\n* Create a new application from a template in the catalog (RStudio, JupyterLab or VScode )\n* Access the application\n* Add source code and data in the application\n* Optionally install the `oc` command line interface\n\nPrerequisites:\n\n* A web browser (Chrome preferably, as some other web browsers have issues with the VSCode terminal)\n* An account on the DSRI with your UM email\n* Access to the [**UM VPN**](https://vpn.maastrichtuniversity.nl), or direct connection to **UMnet** or **eduroam** at Maastricht University\n  * Students can use the Athena Student Desktop at [athenadesktop.maastrichtuniversity.nl](https://athenadesktop.maastrichtuniversity.nl) to access the DSRI web UI\n\n---\n\n## Access the DSRI 🔑\n\n📖 The DSRI documentation can be found at [https://maastrichtu-ids.github.io/dsri-documentation](https://maastrichtu-ids.github.io/dsri-documentation)\n\n1. Connect to the [**UM VPN**](https://vpn.maastrichtuniversity.nl).\n\n\t- Students can use the Athena Student Desktop at [athenadesktop.maastrichtuniversity.nl](https://athenadesktop.maastrichtuniversity.nl) to access the DSRI web UI\n\n\t- On Linux you can use [`openconnect`](https://websiteforstudents.com/install-openconnect-ssl-vpn-client-on-ubuntu-18-04-18-04/):\n\n    ```bash\n    sudo openconnect --passwd-on-stdin -u YOUR.UM.USER --authgroup 01-Employees vpn-rw1.maastrichtuniversity.nl\n    ```\n\n2. Access the DSRI [OpenShift](https://www.okd.io/) web UI\n\n\t- 📖 See the [complete documentation to access the DSRI](https://maastrichtu-ids.github.io/dsri-documentation/docs/access-dsri)\n\n3. 👩‍💻 Go to the [**workspace-workshop** project](https://console-openshift-console.apps.dsri2.unimaas.nl/topology/ns/workspace-workshop/graph) in the OpenShift web UI\n\n---\n\n## Start an application 🚀\n\nStart a **JupyterLab/RStudio/VSCode** application from the DSRI catalog in ids-projects\n\n📖 See how to deploy [JupyterLab](https://maastrichtu-ids.github.io/dsri-documentation/docs/deploy-jupyter), [RStudio](https://maastrichtu-ids.github.io/dsri-documentation/docs/deploy-rstudio), [VSCode](https://maastrichtu-ids.github.io/dsri-documentation/docs/deploy-vscode) and lots more.\n\n1. 👨‍💻 Use your name to generate a unique **Application name**, e.g. `rstudio-vemonet`\n2. Persistent storage will create automatically.\n\t- It can be found at [https://console-openshift-console.apps.dsri2.unimaas.nl/k8s/cluster/persistentvolumes](https://console-openshift-console.apps.dsri2.unimaas.nl/k8s/cluster/persistentvolumes)\n\t- ⚠️ When copy/pasting the storage name it can happen that a space is added at the end. **Be careful to trim all spaces at the start and the end of the storage name** before starting the application, otherwise it will fail\n\n3. Access the application you just started\n\n\t- 👩‍💻 You can find the URL of your application in the [OpenShift web UI **workshops** overview](https://console-openshift-console.apps.dsri2.unimaas.nl/topology/ns/workspace-workshop).\n\n---\n\n## Upload files 🗂️\n\n👨‍💻 For small and medium size files you can simply drag and drop files and folder in the application web UI, or use the **Upload files** button in RStudio.\n\n\u003e This solution works for files up to a few hundred MBs (depending on the application, use it until it fails!).\n\n---\n\n## Upload your code 📜\n\nWe recommend you to use [`git`](https://git-scm.com/) with GitHub or GitLab, you can use it directly from the terminal in all applications, or use the web UI integration each app proposes.\n\n📖 See the documentation for each application:\n\n* RStudio: [https://maastrichtu-ids.github.io/dsri-documentation/docs/deploy-rstudio#use-git-in-rstudio](https://maastrichtu-ids.github.io/dsri-documentation/docs/deploy-rstudio#use-git-in-rstudio)\n* VSCode: [https://maastrichtu-ids.github.io/dsri-documentation/docs/deploy-vscode#use-git-in-vscode](https://maastrichtu-ids.github.io/dsri-documentation/docs/deploy-vscode#use-git-in-vscode)\n* JupyterLab (with `jupyterlab-git` extension installed): [https://maastrichtu-ids.github.io/dsri-documentation/docs/deploy-jupyter#use-git-in-jupyterlab](https://maastrichtu-ids.github.io/dsri-documentation/docs/deploy-jupyter#use-git-in-jupyterlab)\n\n---\n\n## Upload large data files 📦\n\nFor large data files you will need to [install the `oc` command line interface](https://maastrichtu-ids.github.io/dsri-documentation/docs/openshift-install).\n\n\u003e If you have the time it can be quickly installed on MacOS, Linux (works with WSL):\n\u003e\n\u003e * On **Linux** 🐧\n\u003e\n\u003e ```bash\n\u003e wget https://github.com/openshift/origin/releases/download/v3.11.0/openshift-origin-client-tools-v3.11.0-0cbc58b-linux-64bit.tar.gz\n\u003e tar xvf openshift-origin-client-tools*.tar.gz\n\u003e cd openshift-origin-client*/\n\u003e sudo mv oc kubectl /usr/local/bin/\n\u003e ```\n\u003e\n\u003e * On **Mac** 🍎\n\u003e\n\u003e ```bash\n\u003e brew install openshift-cli\n\u003e ```\n\u003e\n\u003e * On **Windows** 🏢 \n\u003e   * [Checkout the installation documentation](https://maastrichtu-ids.github.io/dsri-documentation/docs/openshift-install#on-windows).\n\n📖 See the [complete documentation to upload large data file](https://maastrichtu-ids.github.io/dsri-documentation/docs/openshift-load-data)\n\n\u003e 💡 You will have a better connection when directly connected to the UMnet network (or eduroam at UM) to upload large data file. Even better if you can use ethernet wires.\n\n---\n\n\n## Stop and delete your application ❌\n\n👨‍💻 Stop your application from the [OpenShift web UI **Topology** page](https://console-openshift-console.apps.dsri2.unimaas.nl/topology/ns/workspace-workshop/graph):\n\n\u003e You can use the *Filter by name* search box to quickly find your application based on the name you gave it.\n\n![Stop your application](https://raw.githubusercontent.com/MaastrichtU-IDS/dsri-documentation/master/website/static/img/screenshot_scaledown_pod.png)\n\n\u003e Note: creating more than one pod (\"Scale up\") is useless for most data science applications, such as RStudio, VSCode or JupyterLab. It is only relevant for applications running as a cluster, like Apache Flink or Apache Spark, or web application with a lot of traffic (OpenShift will redirect the traffic depending on pod availability, and start new pods if required, aka. horizontal scaling).\n\n👩‍💻 Delete your application:\n\n* If you installed the `oc` command line interface, it is easier to use it to delete all the objects related to your application:\n\n```bash\noc delete all,secret,configmaps,serviceaccount,rolebinding --selector app=my-application\n```\n\n\u003e Replace `my-application` by the Application name you defined.\n\n* Otherwise you will need to manually delete a few objects related to your application in the OpenShift web UI, it can be done easily from the **Overview** page:\n  1. Delete the **Route**\n  2. Delete the **Service**\n  3. Delete the **Deployment Config** \n\n\u003cimg src=\"https://raw.githubusercontent.com/MaastrichtU-IDS/dsri-documentation/master/website/static/img/screenshot_delete_application.png\" alt=\"Delete application from the web UI\" style=\"max-width: 100%; max-height: 100%;\" /\u003e\n\n📖 See the [complete documentation to delete an application](https://maastrichtu-ids.github.io/dsri-documentation/docs/openshift-delete-services#delete-an-application).\n\n---\n\n## See you soon! 👋\n\n[📝 Fill this form](https://docs.google.com/forms/d/e/1FAIpQLSdndn0naNmj2ACpLE5j1S3Ngb1PCXK_Gl7oB-hI_mN4Z_NBQw/viewform) to help us create a project for you on the Data Science Research Infrastructure for a longer term!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaastrichtu-ids%2Fdsri-workshop-start-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmaastrichtu-ids%2Fdsri-workshop-start-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaastrichtu-ids%2Fdsri-workshop-start-app/lists"}