Dask Deployment

[Jan-Willem]

Objective

Deploy Dask on a Kubernetes cluster using the official Dask Helm chart, if available, or an alternative deployment method.

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Requirements

• Deploy Dask components as Kubernetes pods, including:
  • Dask Scheduler
  • Dask Workers
  • Dask Gateway (if applicable)
• Ensure the Dask dashboard is accessible.
• Verify that Dask can access Lustre storage.
• Validate functionality by running a test computation task with example workflows.

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Definition of Done

Deployment Specification

• Deploy Dask using the official Helm chart (if available) or another recommended deployment method.

Infrastructure Setup

• Dask Scheduler and Workers are running as Kubernetes pods.
• Dask Gateway (if applicable) is deployed and operational.

Functional Validation

• The Dask dashboard is accessible and functional.
• A test computation task executes successfully using example workflows.

Storage Integration

• Dask has verified access to Lustre storage.

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Key Decision Points

1. Helm Chart or Deployment Method:
   • Confirm the availability of an official Dask Helm chart and assess its suitability.
   • If unavailable, choose an alternative deployment method.
2. Lustre Integration:
   • Evaluate methods for connecting Dask with Lustre storage.
3. Scaling and Resource Management:
   • Define Kubernetes resource limits and scaling policies for Dask Scheduler and Workers.
4. Networking Configuration:
   • Ensure efficient communication between the Dask Scheduler and Workers.

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Artifacts

• Dask Helm chart configuration files or equivalent deployment artifacts.
• Documentation for deployment and integration with Kubernetes and Lustre.
• Example computation workflows for validation.

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Success Criteria

• Dask is fully deployed and operational on the Kubernetes cluster.
• The Dask dashboard is accessible to users.
• Example workflows execute successfully without errors.
• Dask can reliably access and utilize Lustre storage.

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Potential Challenges

• Network or configuration issues preventing Dask dashboard accessibility.
• Resource constraints impacting the stability of Dask Scheduler or Workers.
• Inefficiencies in communication between Scheduler and Workers on Kubernetes.