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Digitalocean k8s (#7)
* Attempting first pass at digital ocean * Fixed azure typo * Trying valid do node size * Added Digital Ocean. Easiest yet.
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‎aws-eks/Readme.md

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2. Create an IAM User with the Administrator policy. Generate access keys and grant it console access. See bottom for notes.
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3. Fork this repo and set it up with [spacelift.io](https://spacelift.io/) or equivalent.
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4. Set [AWS_ACCESS_KEY_ID](https://registry.terraform.io/providers/hashicorp/aws/latest/docs) and [AWS_SECRET_ACCESS_KEY](https://registry.terraform.io/providers/hashicorp/aws/latest/docs)
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5. Make sure to set the directory to eks
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5. Make sure to set the directory to aws-eks/
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6. Run and apply the Terraform (takes 20-30 minutes).
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Note: EKS is unstable, and I had more problems with EKS than the rest combined. I've seen weird, unreproducible bugs that required deleting and trying again.

‎azure-aks/Readme.md

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1. Create an [Azure Account](https://portal.azure.com/) and [a service principal](https://docs.spacelift.io/integrations/cloud-providers/azure#create-a-service-principal).
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2. Fork this repo and set it up with [spacelift.io](https://spacelift.io/) or equivalent
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3. Set ARM_CLIENT_ID, ARM_CLIENT_SECRET, ARM_SUBSCRIPTION_ID, ARM_TENANT_ID using the values when you created the service principal.
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4. Make sure to set the directory to aks
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4. Make sure to set the directory to azure-aks/
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4. Run and apply the Terraform (took me 5 minutes)
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## Coder setup Instructions

‎digitalocean-k8s/Readme.md

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## Getting Coder Installed
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1. Fork this repo and set it up with [spacelift.io](https://spacelift.io/) or equivalent
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2. Create a [Digital Ocean API Key](https://cloud.digitalocean.com/account/api) and set it as DIGITALOCEAN_TOKEN
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3. Make sure to set the root directory to digitalocean-k8s/
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4. Run and apply the Terraform (took me 10 minutes)
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## Coder setup Instructions
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1. Navigate to the IP address of the load balancer (Networking / Load Balancers.
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2. Create the initial username and password.
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3. Go to Templates, click Develop in Kubernetes, and click use template
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4. Click create template (it will refresh and prompt for 3 more template inputs)
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5. Set var.use_kubeconfig to false
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6. Set var.namespace to coder
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6. Click create template
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With the admin user created and the template imported, we are ready to launch a workspace based on that template.
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1. Click create workspace from the kubernetes template (templates/kubernetes/workspace)
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2. Give it a name and click create
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3. Within three minutes, the workspace should launch.
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From there, you can click the Terminal button to get an interactive session in the k8s container, or you can click code-server to open up a VSCode window and start coding!

‎digitalocean-k8s/main.tf

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terraform {
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required_providers {
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digitalocean = {
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source = "digitalocean/digitalocean"
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version = "~> 2.0"
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}
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}
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}
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provider "digitalocean" {
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}
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variable "coder_version" {
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default = "0.13.6"
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}
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resource "digitalocean_kubernetes_cluster" "coder" {
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name = "coder"
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region = "nyc1"
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version = "1.25.4-do.0"
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node_pool {
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name = "default"
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size = "s-2vcpu-4gb"
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node_count = 1
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}
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}
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###############################################################
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# K8s configuration
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###############################################################
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provider "kubernetes" {
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host = digitalocean_kubernetes_cluster.coder.endpoint
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token = digitalocean_kubernetes_cluster.coder.kube_config[0].token
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cluster_ca_certificate = base64decode(digitalocean_kubernetes_cluster.coder.kube_config[0].cluster_ca_certificate)
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}
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resource "kubernetes_namespace" "coder_namespace" {
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metadata {
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name = "coder"
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}
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}
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###############################################################
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# Coder configuration
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###############################################################
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provider "helm" {
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kubernetes {
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host = digitalocean_kubernetes_cluster.coder.endpoint
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token = digitalocean_kubernetes_cluster.coder.kube_config[0].token
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cluster_ca_certificate = base64decode(digitalocean_kubernetes_cluster.coder.kube_config[0].cluster_ca_certificate)
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}
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}
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resource "helm_release" "pg_cluster" {
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name = "postgresql"
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namespace = kubernetes_namespace.coder_namespace.metadata.0.name
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repository = "https://charts.bitnami.com/bitnami"
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chart = "postgresql"
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set {
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name = "auth.username"
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value = "coder"
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}
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set {
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name = "auth.password"
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value = "coder"
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}
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set {
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name = "auth.database"
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value = "coder"
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}
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set {
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name = "persistence.size"
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value = "10Gi"
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}
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}
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resource "helm_release" "coder" {
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name = "coder"
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namespace = kubernetes_namespace.coder_namespace.metadata.0.name
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chart = "https://github.com/coder/coder/releases/download/v${var.coder_version}/coder_helm_${var.coder_version}.tgz"
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values = [
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<<EOT
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coder:
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env:
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- name: CODER_PG_CONNECTION_URL
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value: "postgres://coder:coder@postgresql.coder.svc.cluster.local:5432/coder?sslmode=disable"
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- name: CODER_EXPERIMENTAL
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value: "true"
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EOT
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]
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depends_on = [
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helm_release.pg_cluster
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]
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}

‎gcloud-gke/Readme.md

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1. Create a [Google Cloud Account](https://cloud.google.com/), [a project](https://console.cloud.google.com/projectcreate), and [a service account](https://console.cloud.google.com/iam-admin/serviceaccounts/create) in that project with [editor](https://cloud.google.com/iam/docs/understanding-roles#basic) permissions.
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2. Fork this repo and set it up with [spacelift.io](https://spacelift.io/) or equivalent
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3. Set [GOOGLE_CREDENTIALS](https://registry.terraform.io/providers/hashicorp/google/latest/docs/guides/provider_reference#using-terraform-cloud) and TF_VAR_project with the project id from above
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4. Make sure to set the directory to gke
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4. Make sure to set the directory to gcloud-gke/
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4. Run and apply the Terraform (takes 10 minutes).
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## Coder setup Instructions

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