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Cloud Deployments

There are a variety of ways to deploy Dask on cloud providers. Cloud providers provide managed services, like Kubernetes, Yarn, or custom APIs with which Dask can connect easily. You may want to consider the following options:

  1. A managed Kubernetes service and Dask's :doc:`Kubernetes and Helm integraation <kubernetes-helm>`.

  2. A managed Yarn service, like Amazon EMR or Google Cloud DataProc and Dask-Yarn.

    Specific documentation for the popular Amazon EMR service can be found here

  3. Vendor specific services, like Amazon ECS, and Dask Cloud Provider

Data Access

You may want to install additional libraries in your Jupyter and worker images to access the object stores of each cloud:

  • s3fs for Amazon's S3
  • gcsfs for Google's GCS
  • adlfs for Microsoft's ADL

Historical Libraries

Dask previously maintained libraries for deploying Dask on Amazon's EC2 and Google GKE. Due to sporadic interest, and churn both within the Dask library and EC2 itself, these were not well maintained. They have since been deprecated in favor of the :doc:`Kubernetes and Helm <kubernetes-helm>` solution.

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