manual, update new pr
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- [IPFS](system_administrators/advanced/ipfs/ipfs_toc.md)
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- [IPFS](system_administrators/advanced/ipfs/ipfs_toc.md)
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- [IPFS on a Full VM](system_administrators/advanced/ipfs/ipfs_fullvm.md)
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- [IPFS on a Full VM](system_administrators/advanced/ipfs/ipfs_fullvm.md)
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- [IPFS on a Micro VM](system_administrators/advanced/ipfs/ipfs_microvm.md)
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- [IPFS on a Micro VM](system_administrators/advanced/ipfs/ipfs_microvm.md)
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- [MinIO Operator with Helm3](system_administrators/advanced/minio_helm3.md)
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- [AI & ML Workloads](system_administrators/advanced/ai_ml_workloads.md)
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- [AI & ML Workloads](system_administrators/advanced/ai_ml_workloads.md)
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- [ThreeFold Token](threefold_token/threefold_token.md)
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- [ThreeFold Token](threefold_token/threefold_token.md)
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- [TFT Bridges](threefold_token/tft_bridges/tft_bridges.md)
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- [TFT Bridges](threefold_token/tft_bridges/tft_bridges.md)
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@ -8,6 +8,7 @@ The TFChain DAO (i.e. Decentralized Autonomous Organization) feature integrates
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- [Prerequisites to Vote](#prerequisites-to-vote)
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- [Prerequisites to Vote](#prerequisites-to-vote)
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- [How to Vote for a Proposal](#how-to-vote-for-a-proposal)
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- [How to Vote for a Proposal](#how-to-vote-for-a-proposal)
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- [The Goal of the Threefold DAO](#the-goal-of-the-threefold-dao)
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- [The Goal of the Threefold DAO](#the-goal-of-the-threefold-dao)
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- [Voting Weight](#voting-weight)
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***
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***
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@ -39,3 +40,17 @@ To vote, you need to log into your Threefold Dashboard account, go to **TF DAO**
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The goal of DAO voting system is to gather the thoughts and will of the Threefold community and build projects that are aligned with the ethos of the project.
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The goal of DAO voting system is to gather the thoughts and will of the Threefold community and build projects that are aligned with the ethos of the project.
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We encourage anyone to share their ideas. Who knows? Your sudden spark of genius might lead to an accepted proposal on the Threefold DAO!
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We encourage anyone to share their ideas. Who knows? Your sudden spark of genius might lead to an accepted proposal on the Threefold DAO!
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## Voting Weight
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The DAO votes are weighted as follows:
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- Get all linked farms to the account
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- Get all nodes per farm
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- Get compute and storage units per node (CU and SU)
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- Compute the weight of a farm:
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```
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2 * (sum of CU of all nodes) + (sum of SU of all nodes)
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```
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Voting weights are tracked per farm to keep it easy and traceable. Thus, if an account has multiple farms, the vote will be registered per farm.
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@ -12,4 +12,5 @@ In this section, we delve into sophisticated topics and powerful functionalities
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- [IPFS](ipfs_toc.md)
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- [IPFS](ipfs_toc.md)
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- [IPFS on a Full VM](ipfs_fullvm.md)
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- [IPFS on a Full VM](ipfs_fullvm.md)
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- [IPFS on a Micro VM](ipfs_microvm.md)
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- [IPFS on a Micro VM](ipfs_microvm.md)
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- [MinIO Operator with Helm3](minio_helm3.md)
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- [AI & ML Workloads](ai_ml_workloads.md)
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- [AI & ML Workloads](ai_ml_workloads.md)
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collections/system_administrators/advanced/minio_helm3.md
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<h1>MinIO Operator with Helm 3</h1>
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<h2>Table of Contents</h2>
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- [Introduction](#introduction)
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- [Prerequisites](#prerequisites)
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- [Create an SSH Tunnel](#create-an-ssh-tunnel)
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- [Set the VM](#set-the-vm)
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- [Set MinIO](#set-minio)
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- [Access the MinIO Operator](#access-the-minio-operator)
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- [Questions and Feedback](#questions-and-feedback)
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***
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## Introduction
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We show how to deploy a Kubernetes cluster and set a [MinIO](https://min.io/) Operator with [Helm 3](https://helm.sh/).
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MinIO is a high-performance, S3 compatible object store. It is built for
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large scale AI/ML, data lake and database workloads. Helm is a package manager for Kubernetes that allows developers and operators to more easily package, configure, and deploy applications and services onto Kubernetes clusters.
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## Prerequisites
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- TFChain account with TFT
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- [Deploy Kubernetes cluster with one master and one worker (IPv4)](../../dashboard/solutions/k8s.md)
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- [Make sure you can connect via SSH on the terminal](../../system_administrators/getstarted/ssh_guide/ssh_openssh.md)
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## Create an SSH Tunnel
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To access the MinIO Operator, we need to create an SSH tunnel with the port 9090.
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- Open a terminal and create an SSH tunnel
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```
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ssh -4 -L 9090:127.0.0.1:9090 root@<VM_IP>
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```
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Simply leave this window open and follow the next steps.
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## Set the VM
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We set the Master VM to access the minIO Operator.
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- Install the prerequisites:
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```
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apt update
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apt install git -y
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apt install wget
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apt install jq -y
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```
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- Install Helm
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```
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wget https://get.helm.sh/helm-v3.14.3-linux-amd64.tar.gz
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tar -xvf helm-v3.14.3-linux-amd64.tar.gz
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mv linux-amd64/helm /usr/local/bin/helm
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```
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- Install yq
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```
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wget https://github.com/mikefarah/yq/releases/download/v4.43.1/yq_linux_amd64.tar.gz
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tar -xvf yq_linux_amd64.tar.gz
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mv yq_linux_amd64 /usr/bin/yq
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```
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## Set MinIO
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We can then set the MinIO Operator. For this step, we mainly follow the MinIO documentation [here](https://min.io/docs/minio/kubernetes/upstream/operations/install-deploy-manage/deploy-operator-helm.html).
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- Add the MinIO repo
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```
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helm repo add minio-operator https://operator.min.io
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```
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- Validate the MinIO repo content
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```
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helm search repo minio-operator
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```
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- Install the operator
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```
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helm install \
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--namespace minio-operator \
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--create-namespace \
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operator minio-operator/operator
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```
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- Verify the operator installation
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```
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kubectl get all -n minio-operator
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```
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## Access the MinIO Operator
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You can then access the MinIO Operator on your local browser (port 9090)
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```
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localhost:9090
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```
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To log in the MinIO Operator, you will need to enter the token. To see the token, run the following line:
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```
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kubectl get secret/console-sa-secret -n minio-operator -o json | jq -r ".data.token" | base64 -d
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```
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Enter the token on the login page:
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![minio_1](./img/minio_1.png)
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You then have access to the MinIO Operator:
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![minio_2](./img/minio_2.png)
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## Questions and Feedback
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If you have any questions, feel free to ask for help on the [ThreeFold Forum](https://forum.threefold.io/).
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@ -81,5 +81,6 @@ For complementary information on ThreeFold grid and its cloud component, refer t
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- [Redis](grid3_redis.md)
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- [Redis](grid3_redis.md)
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- [IPFS](ipfs_toc.md)
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- [IPFS](ipfs_toc.md)
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- [IPFS on a Full VM](ipfs_fullvm.md)
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- [IPFS on a Full VM](ipfs_fullvm.md)
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- [IPFS on a Micro VM](ipfs_microvm.md)
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- [IPFS on a Micro VM](ipfs_microvm.md)
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- [MinIO Operator with Helm3](minio_helm3.md)
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- [AI & ML Workloads](ai_ml_workloads.md)
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- [AI & ML Workloads](ai_ml_workloads.md)
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