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README.md

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<h1>Treebeard Kubeflow</h1>
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<p><b>🪐 scale Jupyter in Kubernetes</b></p>
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<img src="https://raw.githubusercontent.com/treebeardtech/terraform-helm-kubeflow/3936f78f1ab1931737037d7744ef0e686fb94d30/docs/tkf.png" width="400" height="100%">
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<img src="https://raw.githubusercontent.com/treebeardtech/terraform-helm-kubeflow/main/docs/tkf.png" width="400" height="100%">
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<br />
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* Notebook instances can use GPUs necessary for deep learning
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* This can be done across different cloud providers (ranging from individual VMs to managed services like Amazon's EKS)
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## Architecture
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This module is built on top of the official [Kubeflow Manifests repo](https://github.com/kubeflow/manifests) which contains _Kustomizations_ for the various components of Kubeflow.
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We provide a terraform and helm-based interface for managing Kubeflow via GitOps
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<img src="https://raw.githubusercontent.com/treebeardtech/terraform-helm-kubeflow/main/docs/arch.png" width="650" height="100%">
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## Getting Started
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We recommend trying out this module in a development environment first.
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These may best be stored in a git repo and referenced using Argo's [multiple sources feature](https://argo-cd.readthedocs.io/en/stable/user-guide/multiple_sources/)
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Using this approach you can invoke this terraform module (or the underlying bootstrap helm chart) with config like the following that combines injected values with values from a git repo:
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```yaml
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sources:
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# - repoURL: 'https://github.com/treebeardtech/gitops-bridge-argocd-control-plane-template'
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# targetRevision: dev
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# ref: values
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- repoURL: ghcr.io/treebeardtech
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targetRevision: 0.1-2024-03-08-T18-39-28
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chart: treebeard-kubeflow
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helm:
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ignoreMissingValueFiles: true
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# valueFiles:
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# - $values/some-dir/my-values-file.yaml # use your own gitops values file
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values: |
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# pass in terraform outputs from cloud resources
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# e.g. ARNs, node labels, etc.
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```
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Using this approach you can invoke this terraform module (or the underlying bootstrap helm chart) with config like the following that combines injected values with values from a git repo.
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See the [gitops example](examples/k3s-gitops) for details.
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### Teardown
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If you have made a change to a dependency such as istio, or an auth component such as dex, it can be a good idea to re-create pods such that they re-initialise. This can be done by scaling to 0 then back up again, or simply deleting a pod managed by a deployment.
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## Architecture
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This module is built on top of the official [Kubeflow Manifests repo](https://github.com/kubeflow/manifests) which contains _Kustomizations_ for the various components of Kubeflow.
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## Requirements
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| Name | Version |
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## Outputs
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No outputs.
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## Not sure where to start?
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Open an issue or message us directly in [Discord](https://discord.gg/QFjCpMjqRY).

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