From 608410629fbd9ab2936d3d5958f4bcb518b112f1 Mon Sep 17 00:00:00 2001
From: MichaelClifford <mcliffor@redhat.com>
Date: Tue, 20 Jul 2021 15:15:24 -0400
Subject: [PATCH] add run-ai-pipeline.md

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+# How to Run an AI Pipeline with Elyra
+
+## From the Elyra UI:
+
+Before starting the pipeline you need to select which runtime environment to use and add a name for your pipeline.
+
+<div style="text-align:center">
+<img alt="Elyra AI Pipeline run inputs" src="https://raw.githubusercontent.com/thoth-station/elyra-aidevsecops-tutorial/master/docs/images/AIPipelineRunInputs.png">
+</div>
+
+Click the play button to run the AI Pipeline.
+
+<div style="text-align:center">
+<img alt="Elyra AI Pipeline play" src="https://raw.githubusercontent.com/thoth-station/elyra-aidevsecops-tutorial/master/docs/images/PlayAIPipeline.png">
+</div>
+
+One your pipeline is running, move to the [Kubeflow Pipeline UI](http://istio-ingressgateway-istio-system.apps.zero.massopen.cloud/pipeline/#/experiments) to see what's happening.
+
+<div style="text-align:center">
+<img alt="Kubeflow Pipeline UI" src="https://raw.githubusercontent.com/thoth-station/elyra-aidevsecops-tutorial/master/docs/images/KFPUI.png">
+</div>
+
+From here, you can check the status of each step in the pipeline directly from the UI and debug from the logs should any problems occur:
+
+<div style="text-align:center">
+<img alt="Successfull Kubeflow Pipeline" src="https://raw.githubusercontent.com/thoth-station/elyra-aidevsecops-tutorial/master/docs/images/SuccessfullKubeflowPipeline.png">
+</div>
+
+Now that the pipeline has run successfully, the model can be found in your bucket, you can check from the terminal using the [aws CLI](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-install.html):
+
+```bash
+  aws s3 --profile moc-pipeline-kfp --endpoint https://s3-openshift-storage.apps.zero.massopen.cloud/ ls s3://{your_bucket}/{your_project_name}/models/
+```
+
+where `moc-pipeline-kfp` is the aws profile containing `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` to access your bucket.
+
+*For more examples on how to create an AI pipeline in Elyra, you can use this [link](https://github.com/elyra-ai/examples/tree/master/pipelines/hello_world_kubeflow_pipelines).*
+
+## References
+
+* [Elyra][1]
+
+[1]: https://github.com/elyra-ai/elyra