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ENG-5345: Updates code comment and callout for Ray security #266

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Apr 25, 2024
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ENG-5345: Updates code comment and callout for Ray security #266

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4 changes: 2 additions & 2 deletions modules/running-distributed-data-science-workloads-from-ds-pipelines.adoc
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Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@ def ray_fn(openshift_server: str, openshift_token: str): <1>
ray_cluster_uri = cluster.cluster_uri()
print(ray_dashboard_uri, ray_cluster_uri)

# Enable secure connection to the Ray head pod by exporting the environment variables required for Ray mTLS communication
# Enable Ray client to connect to secure Ray cluster that has mTLS enabled
generate_cert.generate_tls_cert("raytest", "pipeline-example") <9>
generate_cert.export_env("raytest", "pipeline-example")

Expand Down Expand Up @@ -149,7 +149,7 @@ if __name__ == '__main__':
<6> InstaScale is not supported in this release
<7> Creates a Ray cluster using the specified image and configuration
<8> Waits for the Ray cluster to be ready before proceeding
<9> Enables a secure connection for Ray cluster communication; mutual Transport Layer Security (mTLS) is enabled by default in the CodeFlare component in {productname-short}
<9> Enables the Ray client to connect to a secure Ray cluster that has mutual Transport Layer Security (mTLS) enabled; mTLS is enabled by default in the CodeFlare component in {productname-short}
<10> Replace the example details in this section with the details for your workload
<11> Removes the Ray cluster when your workload is finished
<12> Replace the example name and description with the values for your workload
Expand Down