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Enhance Vertex AI Orchestrator for Compatibility with Private IP Cloud SQL #2218

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strickvl opened this issue Jan 3, 2024 · 0 comments
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enhancement New feature or request good first issue Good for newcomers

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@strickvl
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strickvl commented Jan 3, 2024

Open Source Contributors Welcomed!

Please comment below if you would like to work on this issue!

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support@zenml.io

What happened?

A user reported significant difficulties when attempting to use the Vertex AI Workbench with ZenML, specifically when running pipelines in conjunction with Cloud SQL configured with a private IP. This scenario suggests compatibility issues or limitations in the current Vertex AI orchestrator's setup in ZenML.

Task Description

Update the Vertex AI orchestrator in ZenML to ensure compatibility and smooth operation with Cloud SQL instances that use private IP addresses. This update is crucial for supporting secure and private network configurations commonly used in production environments.

Expected Outcome

  • The Vertex AI orchestrator in ZenML should work seamlessly with Cloud SQL instances using private IPs.
  • Users should be able to run their pipelines in Vertex AI Workbench without encountering issues related to private IP configurations in Cloud SQL.
  • Documentation and examples should be updated to guide users on how to configure and use Vertex AI orchestrator with private IP Cloud SQL instances.

Steps to Implement

  • Investigate and identify the root cause of the issues faced when using Vertex AI orchestrator with private IP Cloud SQL.
  • Implement necessary changes or updates in the Vertex AI orchestrator to support private IP configurations.
  • Thoroughly test the updated orchestrator in a Vertex AI environment with Cloud SQL using private IPs to ensure compatibility and functionality.
  • Update documentation and examples to reflect how users can set up and use this configuration effectively.
    Additional Context
  • This update is important to enhance the flexibility and usability of ZenML in environments where security and privacy are paramount, particularly for users relying on cloud-based MLOps workflows with private networking setups.

Code of Conduct

  • I agree to follow this project's Code of Conduct
@strickvl strickvl added enhancement New feature or request good first issue Good for newcomers labels Jan 3, 2024
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