8000 k8s: remove outdated K8s deployment + update references · NVIDIA/aistore@8fbeb04 · GitHub
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k8s: remove outdated K8s deployment + update references
Signed-off-by: Ryan Koo <rbk65@cornell.edu>
1 parent 4ef854b commit 8fbeb04

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‎.github/workflows/docker.yml

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type: boolean
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default: false
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build_aisnode_minikube_image:
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description: 'Build aisnode-minikube image (aistorage/aisnode-minikube)'
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required: true
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type: boolean
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default: false
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build_authn_image:
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description: 'Build AuthN (aistorage/authn)'
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required: true
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AISINIT_IMAGE: 'aistorage/ais-init'
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CLUSTER_MINIMAL_IMAGE: 'aistorage/cluster-minimal'
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CI_IMAGE: 'aistorage/gitlab-ci'
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AISNODE_MINIKUBE_IMAGE: 'aistorage/aisnode-minikube'
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AUTHN_IMAGE: 'aistorage/authn'
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jobs:
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IMAGE_REPO="${{ env.CLUSTER_MINIMAL_IMAGE }}" IMAGE_TAG="${{ inputs.image_tag }}" make -e all
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popd
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- name: Build and push `aisnode-minikube` image
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if: ${{ inputs.build_aisnode_minikube_image }}
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run: |
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pushd $GITHUB_WORKSPACE/deploy/dev/k8s
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IMAGE_REPO="${{ env.AISNODE_MINIKUBE_IMAGE }}" IMAGE_TAG="${{ inputs.image_tag }}" make -e docker-all
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popd
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- name: Build and push `authn` image
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if: ${{ inputs.build_authn_image }}
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run: |

‎deploy/README.md

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| [deploy/dev/docker](/deploy/dev/docker) | developers | run AIS cluster consisting of one or more `aisnode` containers; use `AIS_ENDPOINT` to test and/or develop with it | [readme](/deploy/dev/docker/README.md) |
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| [deploy/prod/docker/single](/deploy/prod/docker/single) | first-time users and/or small-size (ad-hoc) production deployments | this is a minimal AIS cluster consisting of a single storage target and a single gateway, all in one preconfigured ready-for-usage docker image; may be perfect for small-size immediate deployment and first-time quick runs | [readme](/deploy/prod/docker/single/README.md) |
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| **Kubernetes** | --- | --- | --- |
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| [deploy/dev/k8s](/deploy/dev/k8s) | AIStore development with native Kubernetes provided by [minikube](https://minikube.sigs.k8s.io/docs) | Short answer: run minikube and then deploy AIS cluster on it. The steps are carefully documented [here](/deploy/dev/k8s/README.md). | [readme](/deploy/dev/k8s/README.md) |
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| [deploy/dev/k8s/kustomize](/deploy/dev/k8s/kustomize) | AIStore development on local Kubernetes | Use for testing and small deployments by applying AIS resources in K8s directly (without an operator). | [readme](/deploy/dev/k8s/kustomize/README.md) |
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| [deploy/prod/k8s](/deploy/prod/k8s) | production | use Dockerfiles in this folder to build AIS images for for production deployment, for which there's a separate and dedicated [repository](https://github.com/NVIDIA/ais-k8s) containing the corresponding tools, scripts, and documentation | [AIS/K8s Operator and deployment playbooks](https://github.com/NVIDIA/ais-k8s) |
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‎deploy/dev/k8s/Dockerfile

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‎deploy/dev/k8s/Makefile

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