Your OpenShift AI Workbench

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Building a Smart Aquaculture platform in the cloud

Thanks to the powerful cloud developer tools built into Red Hat OpenShift Container Platform, developers can log into a VSCode workbench directly in the browser and start developing a Smart Aquaculture platform. The OpenShift AI workbenches provided by Red Hat allow developers to write code in the browser, it doesn’t matter what your computer’s architecture or operating system is.

Access the OpenShift Console

The OpenShift Console is the visual web-based way of interacting with your cloud deployments.

{console_url}[Log in to the OpenShift Console^] with username sampleuser password samplepassword.

To access your resources in the OpenShift Console:

  • on the left side of the page, click on WorkloadsPods.

  • At the top left side of the page, click on the Project dropdown and select workbench-sampleuser.

There should be 2 pods listed: - One Pod that starts with deploy-workbench that was a Job that ran to Status Completed to set up the workbench automatically with everything you need to get started. - One Pod vscode-0 that is your own VSCode workbench.

Access your OpenShift AI VSCode Workbench

To access your own OpenShift AI VSCode Workbench

  1. Click the menu button in the top right.

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  2. Click Red Hat OpenShift AI.

  3. Log in with username sampleuser password samplepassword.

  4. On the left, click on Data Science Projects.

  5. Click on your Data Science Project Workbench.

  6. Click on the Workbenches tab.

  7. Click the Open button for your workbench.

    openshift ai workbench open

  8. Log in with username sampleuser password samplepassword.

  9. Click the allow-selected-permissions button.

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  10. Click the "I trust the authors" button.

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  11. Click the Install button for the popup in the bottom right. Some new tabs for each extension will open up and automatically install the extensions.

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Next

Next, you will get started with software development and generate all the scaffolding code for your Smart Aquaculture data-driven website.