Chabane R. for Stack Labs

Posted on Jan 17, 2021 • Edited on Mar 20, 2021

Building a 🇺🇸 🇪🇺 Multi-cloud DevOps platform

#googlecloud #devops #kubernetes #terraform

Hello there !

We saw in the part 2 the differents architectures that could be applied between both cloud providers for monitoring, logging and DevOps. We also talked about network traffic cost.

In this part 3, we will see how to build a DevOps platform in Google Cloud with GitLab and Kubernetes.

Let's start by provisioning the Google Cloud infrastructure.

Prerequisites

Download and install Terraform.
Download, install, and configure the Google Cloud SDK.
Download and install Vault.
Download and install ArgoCD.
Download, install, and configure the Scaleway CLI

Plan

Enabling the required services on devops project.
Creating Virtual Private Network.
Creating a Cloud NAT.
Creating a KMS key for encryption.
Creating the GKE cluster with the configured service account attached.
Creating a public IP for Vault.
Generating certificates for Vault.
Deploying Vault in Kubernetes. [1]
Registering Gitlab runners
Configuring ArgoCD

We start by creating a private devops repository in Gitlab and copying the terraform files into infra/plan.

Terraform

Enabling Services

infra/plan/main.tf

resource "google_project_service" "service" {
  count   = length(var.project_services)
  project = var.project_id
  service = element(var.project_services, count.index)
  disable_on_destroy = false
}

data "google_project" "project" {
}

Virtual Private Network

The following terraform file creates:

A custom VPC
A subnet with secondary ranges
A Cloud NAT with two NAT IPs

infra/plan/vpc.tf

resource "google_compute_network" "vpc" {  
  name                    = "vpc"
  auto_create_subnetworks = false
  project                 = var.project_id

  depends_on = [google_project_service.service]
}

resource "google_compute_subnetwork" "subnet-vpc" {
  name                     = "subnet"
  ip_cidr_range            = var.subnet_ip_range_primary
  region                   = var.region
  network                  = google_compute_network.vpc.id
  project                  = var.project_id
  secondary_ip_range       = [
    {
        range_name    = "secondary-ip-ranges-devops-services"
        ip_cidr_range = var.subnet_secondary_ip_range_services
    },
    {
        range_name    = "secondary-ip-ranges-devops-pods"
        ip_cidr_range = var.subnet_secondary_ip_range_pods
    }
  ]
  private_ip_google_access = false
}

resource "google_compute_address" "nat" {
  count   = 2
  name    = "nat-external-${count.index}"
  project = var.project_id
  region  = var.region

  depends_on = [google_project_service.service]
}

resource "google_compute_router" "router" {
  name    = "router"
  project = var.project_id
  region  = var.region
  network = google_compute_network.vpc.self_link

  bgp {
    asn = 64514
  }
}

resource "google_compute_router_nat" "nat" {
  name    = "nat-1"
  project = var.project_id
  router  = google_compute_router.router.name
  region  = var.region

  nat_ip_allocate_option = "MANUAL_ONLY"
  nat_ips                = google_compute_address.nat.*.self_link

  source_subnetwork_ip_ranges_to_nat = "LIST_OF_SUBNETWORKS"

  subnetwork {
    name                    = google_compute_subnetwork.subnet-vpc.self_link
    source_ip_ranges_to_nat = ["PRIMARY_IP_RANGE", "LIST_OF_SECONDARY_IP_RANGES"]

    secondary_ip_range_names = [
      google_compute_subnetwork.subnet-vpc.secondary_ip_range[0].range_name,
      google_compute_subnetwork.subnet-vpc.secondary_ip_range[1].range_name,
    ]
  }
}

GKE Cluster

The following terraform file creates:

A GKE Cluster
Default nodepool
DevOps nodepool to run Gitlab runners
Vault nodepool to run Vault

infra/plan/gke.tf

resource "google_container_cluster" "gke-devops-cluster" {
  provider = google-beta

  name = "gke-cluster-devops"
  location = var.gke_devops_cluster_location

  network = google_compute_network.vpc.id
  subnetwork = google_compute_subnetwork.subnet-vpc.id

  private_cluster_config {
    enable_private_endpoint = false
    enable_private_nodes = true
    master_ipv4_cidr_block = var.master_ipv4_cidr_block
  }

  project = var.project_id

  remove_default_node_pool = true
  initial_node_count = 1

  maintenance_policy {
    recurring_window {
      start_time = "2020-10-01T09:00:00-04:00"
      end_time = "2050-10-01T17:00:00-04:00"
      recurrence = "FREQ=WEEKLY"
    }
  }

  enable_shielded_nodes = true

  ip_allocation_policy {
    cluster_secondary_range_name = "secondary-ip-ranges-devops-pods"
    services_secondary_range_name = "secondary-ip-ranges-devops-services"
  }

  networking_mode = "VPC_NATIVE"

  logging_service = "logging.googleapis.com/kubernetes"

  monitoring_service = "monitoring.googleapis.com/kubernetes"

  master_authorized_networks_config {
    cidr_blocks {
      cidr_block = var.gitlab_public_ip_ranges
      display_name = "GITLAB PUBLIC IP RANGES"
    }
    cidr_blocks {
      cidr_block = var.authorized_source_ranges
      display_name = "Authorized IPs"
    }
    cidr_blocks {
      cidr_block = "${google_compute_address.nat[0].address}/32"
      display_name = "NAT IP 1"
    }
    cidr_blocks {
      cidr_block = "${google_compute_address.nat[1].address}/32"
      display_name = "NAT IP 2"
    }
  }

  addons_config {
    horizontal_pod_autoscaling {
      disabled = false
    }
    http_load_balancing {
      disabled = false
    }
    network_policy_config {
      disabled = false
    }
  }

  network_policy {
    provider = "CALICO"
    enabled = true
  }

  pod_security_policy_config {
    enabled = false
  }

  release_channel {
    channel = "STABLE"
  }

  workload_identity_config {
    identity_namespace = "${var.project_id}.svc.id.goog"
  }

  database_encryption {
    state    = "ENCRYPTED"
    key_name = google_kms_crypto_key.kubernetes-secrets.self_link
  }

authentication.
  master_auth {
    username = ""
    password = ""

    client_certificate_config {
      issue_client_certificate = false
    }
  }

  depends_on = [
    google_project_service.service,
    google_project_iam_member.service-account,
    google_compute_router_nat.nat
  ]
}

resource "google_container_node_pool" "gke-nodepools-default" {
  project = var.project_id
  name = "gke-nodepools-default"
  location = var.gke_devops_cluster_location
  cluster = google_container_cluster.gke-devops-cluster.name

  initial_node_count = 1

  node_config {
    machine_type = var.node_pools_machine_type

    metadata = {
      disable-legacy-endpoints = "true"
    }

    oauth_scopes = [
      "https://www.googleapis.com/auth/logging.write",
      "https://www.googleapis.com/auth/monitoring",
      "https://www.googleapis.com/auth/compute",
      "https://www.googleapis.com/auth/devstorage.read_only"
    ]

    tags = [
      "gke-devops-nodes"]
  }
}

resource "google_container_node_pool" "gke-nodepools-devops" {
  project = var.project_id
  name = "gke-nodepools-devops"
  location = var.gke_devops_cluster_location
  cluster = google_container_cluster.gke-devops-cluster.name

  autoscaling {
    max_node_count = 3
    min_node_count = 0
  }

  node_config {
    machine_type = var.node_pools_machine_type
    preemptible  = true

    metadata = {
      disable-legacy-endpoints = "true"
    }

    oauth_scopes = [
      "https://www.googleapis.com/auth/logging.write",
      "https://www.googleapis.com/auth/monitoring",
      "https://www.googleapis.com/auth/compute",
      "https://www.googleapis.com/auth/devstorage.read_only"
    ]

    labels = {
      "nodepool" = "devops"
    }

    taint {
        key = "devops-reserved-pool"
        value = "true"
        effect = "NO_SCHEDULE"
    }

    tags = [
      "gke-devops-nodes"]
  }
}

resource "google_container_node_pool" "gke-nodepools-vault" {
  project = var.project_id
  name = "gke-nodepools-vault"
  location = var.gke_devops_cluster_location
  cluster = google_container_cluster.gke-devops-cluster.name

  initial_node_count = 1 

  autoscaling {
    max_node_count = 3
    min_node_count = 1
  }

  node_config {
    machine_type = var.node_pools_machine_type
    service_account = google_service_account.vault-server.email

    metadata = {
      disable-legacy-endpoints = "true"
      google-compute-enable-virtio-rng = "true"
    }

    oauth_scopes = [
      "https://www.googleapis.com/auth/logging.write",
      "https://www.googleapis.com/auth/monitoring",
      "https://www.googleapis.com/auth/compute",
      "https://www.googleapis.com/auth/devstorage.read_only",
      "https://www.googleapis.com/auth/cloud-platform"
    ]

    labels = {
      nodepool = "vault"
      service = "vault"
    }

    workload_metadata_config {
      node_metadata = "SECURE"
    }

    taint {
        key = "vault-reserved-pool"
        value = "true"
        effect = "NO_SCHEDULE"
    }

    tags = [
      "gke-devops-nodes", "vault"]
  }
}

resource "google_compute_address" "vault" {
  name    = "vault-lb"
  region  = var.region
  project = var.project_id

  depends_on = [google_project_service.service]
}

output "address" {
  value = google_compute_address.vault.address
}

Vault

The following terraform file:

Creates the vault service account
Adds the service account to the project
Adds user-specified roles
Creates the storage bucket
Generates a random suffix for the KMS keyring
Creates the KMS key ring
Creates the crypto key for encrypting init keys
Creates the crypto key for encrypting Kubernetes secrets
Grants GKE access to the key

infra/plan/vault.tf

resource "google_service_account" "vault-server" {
  account_id   = "vault-server"
  display_name = "Vault Server"
  project      = var.project_id
}

resource "google_project_iam_member" "service-account" {
  count   = length(var.vault_service_account_iam_roles)
  project = var.project_id
  role    = element(var.vault_service_account_iam_roles, count.index)
  member  = "serviceAccount:${google_service_account.vault-server.email}"
}

resource "google_project_iam_member" "service-account-custom" {
  count   = length(var.service_account_custom_iam_roles)
  project = var.project_id
  role    = element(var.service_account_custom_iam_roles, count.index)
  member  = "serviceAccount:${google_service_account.vault-server.email}"
}

resource "google_storage_bucket" "vault" {
  name          = "${var.project_id}-vault-storage"
  project       = var.project_id
  force_destroy = true
  location      = var.region
  storage_class = "REGIONAL"

  versioning {
    enabled = true
  }

  lifecycle_rule {
    action {
      type = "Delete"
    }

    condition {
      num_newer_versions = 1
    }
  }

  depends_on = [google_project_service.service]
}

# Generate a random suffix for the KMS keyring. Like projects, key rings names
# must be globally unique within the project. A key ring also cannot be
# destroyed, so deleting and re-creating a key ring will fail.
#
# This uses a random_id to prevent that from happening.
resource "random_id" "kms_random" {
  prefix      = var.kms_key_ring_prefix
  byte_length = "8"
}

# Obtain the key ring ID or use a randomly generated on.
locals {
  kms_key_ring = var.kms_key_ring != "" ? var.kms_key_ring : random_id.kms_random.hex
}

resource "google_kms_key_ring" "vault" {
  name     = local.kms_key_ring
  location = var.region
  project  = var.project_id

  depends_on = [google_project_service.service]
}

resource "google_kms_crypto_key" "vault-init" {
  name            = var.kms_crypto_key
  key_ring        = google_kms_key_ring.vault.id
  rotation_period = "604800s"
}

resource "google_kms_crypto_key" "kubernetes-secrets" {
  name            = var.kubernetes_secrets_crypto_key
  key_ring        = google_kms_key_ring.vault.id
  rotation_period = "604800s"
}

resource "google_project_iam_member" "kubernetes-secrets-gke" {
  project       = var.project_id
  role          = "roles/cloudkms.cryptoKeyEncrypterDecrypter"
  member        = "serviceAccount:service-${data.google_project.project.number}@container-engine-robot.iam.gserviceaccount.com"
}

TLS

The following terraform file:

Generates self-signed TLS certificates
Creates the Vault server certificates
Creates the request to sign the cert with our CA
Signs the cert

infra/plan/tls.tf

resource "tls_private_key" "vault-ca" {
  algorithm = "RSA"
  rsa_bits  = "2048"
}

resource "tls_self_signed_cert" "vault-ca" {
  key_algorithm   = tls_private_key.vault-ca.algorithm
  private_key_pem = tls_private_key.vault-ca.private_key_pem

  subject {
    common_name  = "vault-ca.local"
    organization = "HashiCorp Vault"
  }

  validity_period_hours = 8760
  is_ca_certificate     = true

  allowed_uses = [
    "cert_signing",
    "digital_signature",
    "key_encipherment",
  ]

  provisioner "local-exec" {
    command = "echo '${self.cert_pem}' > ../tls/ca.pem && chmod 0600 ../tls/ca.pem"
  }
}

resource "tls_private_key" "vault" {
  algorithm = "RSA"
  rsa_bits  = "2048"
}

resource "tls_cert_request" "vault" {
  key_algorithm   = tls_private_key.vault.algorithm
  private_key_pem = tls_private_key.vault.private_key_pem

  dns_names = [
    "vault",
    "vault.local",
    "vault.${var.public_dns_name}",
    "vault.default.svc.cluster.local",
  ]

  ip_addresses = [
    google_compute_address.vault.address,
  ]

  subject {
    common_name  = "vault.local"
    organization = "HashiCorp Vault"
  }
}

resource "tls_locally_signed_cert" "vault" {
  cert_request_pem = tls_cert_request.vault.cert_request_pem

  ca_key_algorithm   = tls_private_key.vault-ca.algorithm
  ca_private_key_pem = tls_private_key.vault-ca.private_key_pem
  ca_cert_pem        = tls_self_signed_cert.vault-ca.cert_pem

  validity_period_hours = 8760

  allowed_uses = [
    "cert_signing",
    "client_auth",
    "digital_signature",
    "key_encipherment",
    "server_auth",
  ]

  provisioner "local-exec" {
    command = "echo '${self.cert_pem}' > ../tls/vault.pem && echo '${tls_self_signed_cert.vault-ca.cert_pem}' >> ../tls/vault.pem && chmod 0600 ../tls/vault.pem"
  }
}

Kubernetes

The following terraform file:

Queries the client configuration for our current service account
Writes the vault TLS secret
Creates vault resources in Kubernetes

infra/plan/k8s.tf

data "google_client_config" "current" {}

provider "kubernetes" {
  load_config_file = false
  host             = google_container_cluster.gke-devops-cluster.endpoint

  cluster_ca_certificate = base64decode(
    google_container_cluster.gke-devops-cluster.master_auth[0].cluster_ca_certificate,
  )
  token = data.google_client_config.current.access_token
}

resource "kubernetes_secret" "vault-tls" {
  metadata {
    name = "vault-tls"
  }

  data = {
    "vault.crt" = "${tls_locally_signed_cert.vault.cert_pem}\n${tls_self_signed_cert.vault-ca.cert_pem}"
    "vault.key" = tls_private_key.vault.private_key_pem
    "ca.crt"    = tls_self_signed_cert.vault-ca.cert_pem
  }
}

resource "kubernetes_service" "vault-lb" {
  metadata {
    name = "vault"
    labels = {
      app = "vault"
    }
  }

  spec {
    type                        = "LoadBalancer"
    load_balancer_ip            = google_compute_address.vault.address
    load_balancer_source_ranges = [var.subnet_secondary_ip_range_pods, var.authorized_source_ranges]
    external_traffic_policy     = "Local"

    selector = {
      app = "vault"
    }

    port {
      name        = "vault-port"
      port        = 443
      target_port = 8200
      protocol    = "TCP"
    }
  }

  depends_on = [google_container_cluster.gke-devops-cluster]
}

resource "kubernetes_stateful_set" "vault" {
  metadata {
    name = "vault"
    labels = {
      app = "vault"
    }
  }

  spec {
    service_name = "vault"
    replicas     = var.num_vault_pods

    selector {
      match_labels = {
        app = "vault"
      }
    }

    template {
      metadata {
        labels = {
          app = "vault"
        }
      }

      spec {
        termination_grace_period_seconds = 10

        affinity {
          pod_anti_affinity {
            preferred_during_scheduling_ignored_during_execution {
              weight = 50

              pod_affinity_term {
                topology_key = "kubernetes.io/hostname"

                label_selector {
                  match_expressions {
                    key      = "app"
                    operator = "In"
                    values   = ["vault"]
                  }
                }
              }
            }
          }
        }

        node_selector = {
            nodepool = "vault"
        }

        toleration {
            key = "vault-reserved-pool"
            operator = "Equal"
            effect = "NoSchedule"
            value = "true"
        }

        container {
          name              = "vault-init"
          image             = var.vault_init_container
          image_pull_policy = "IfNotPresent"

          resources {
            requests {
              cpu    = "100m"
              memory = "64Mi"
            }
          }

          env {
            name  = "GCS_BUCKET_NAME"
            value = google_storage_bucket.vault.name
          }

          env {
            name  = "KMS_KEY_ID"
            value = google_kms_crypto_key.vault-init.self_link
          }

          env {
            name  = "VAULT_ADDR"
            value = "http://127.0.0.1:8200"
          }

          env {
            name  = "VAULT_SECRET_SHARES"
            value = var.vault_recovery_shares
          }

          env {
            name  = "VAULT_SECRET_THRESHOLD"
            value = var.vault_recovery_threshold
          }
        }

        container {
          name              = "vault"
          image             = var.vault_container
          image_pull_policy = "IfNotPresent"

          args = ["server"]

          security_context {
            capabilities {
              add = ["IPC_LOCK"]
            }
          }

          port {
            name           = "vault-port"
            container_port = 8200
            protocol       = "TCP"
          }

          port {
            name           = "cluster-port"
            container_port = 8201
            protocol       = "TCP"
          }

          resources {
            requests {
              cpu    = "500m"
              memory = "256Mi"
            }
          }

          volume_mount {
            name       = "vault-tls"
            mount_path = "/etc/vault/tls"
          }

          env {
            name  = "VAULT_ADDR"
            value = "http://127.0.0.1:8200"
          }

          env {
            name = "POD_IP_ADDR"
            value_from {
              field_ref {
                field_path = "status.podIP"
              }
            }
          }

          env {
            name  = "VAULT_LOCAL_CONFIG"
            value = <<EOF
              api_addr     = "https://vault.${var.public_dns_name}"
              cluster_addr = "https://$(POD_IP_ADDR):8201"

              log_level = "warn"

              ui = true

              seal "gcpckms" {
                project    = "${google_kms_key_ring.vault.project}"
                region     = "${google_kms_key_ring.vault.location}"
                key_ring   = "${google_kms_key_ring.vault.name}"
                crypto_key = "${google_kms_crypto_key.vault-init.name}"
              }

              storage "gcs" {
                bucket     = "${google_storage_bucket.vault.name}"
                ha_enabled = "true"
              }

              listener "tcp" {
                address     = "127.0.0.1:8200"
                tls_disable = "true"
              }

              listener "tcp" {
                address       = "$(POD_IP_ADDR):8200"
                tls_cert_file = "/etc/vault/tls/vault.crt"
                tls_key_file  = "/etc/vault/tls/vault.key"

                tls_disable_client_certs = true
              }
            EOF
          }

          readiness_probe {
            initial_delay_seconds = 5
            period_seconds        = 5

            http_get {
              path   = "/v1/sys/health?standbyok=true"
              port   = 8200
              scheme = "HTTPS"
            }
          }
        }

        volume {
          name = "vault-tls"
          secret {
            secret_name = "vault-tls"
          }
        }
      }
    }
  }
}

output "root_token_decrypt_command" {
  value = "gsutil cat gs://${google_storage_bucket.vault.name}/root-token.enc | base64 --decode | gcloud kms decrypt --key ${google_kms_crypto_key.vault-init.self_link} --ciphertext-file - --plaintext-file -"
}

Other

infra/plan/variables.tf

variable "gke_devops_cluster_location" {
  type = string
  default = "europe-west1"
}

variable "region" {
  type = string
}

variable "node_pools_machine_type" {
  type = string
  default = "e2-standard-2"
}

variable "master_ipv4_cidr_block" {
  type = string
}

variable "subnet_ip_range_primary" {
  type    = string
  default = "10.10.10.0/24"
}

variable "subnet_secondary_ip_range_services" {
  type    = string
  default = "10.10.11.0/24"
}

variable "subnet_secondary_ip_range_pods" {
  type    = string
  default = "10.1.0.0/20"
}

variable "public_dns_name" {
  type    = string
}

// deployment project id
variable "project_id" {
  type = string
}

variable "gitlab_public_ip_ranges" {
  type = string
  description = "GITLAB PUBLIC IP RANGES"
}

variable "vault_service_account_iam_roles" {
  type = list(string)
  default = [
    "roles/logging.logWriter",
    "roles/monitoring.metricWriter",
    "roles/monitoring.viewer",
    "roles/cloudkms.cryptoKeyEncrypterDecrypter",
    "roles/storage.objectAdmin"
  ]
  description = "List of IAM roles to assign to the service account of vault."
}

variable "service_account_custom_iam_roles" {
  type        = list(string)
  default     = []
  description = "List of arbitrary additional IAM roles to attach to the service account on the Vault nodes."
}

variable "project_services" {
  type = list(string)
  default = [
    "secretmanager.googleapis.com",
    "cloudkms.googleapis.com",
    "cloudresourcemanager.googleapis.com",
    "container.googleapis.com",
    "compute.googleapis.com",
    "iam.googleapis.com",
    "logging.googleapis.com",
    "monitoring.googleapis.com",
    "cloudbuild.googleapis.com"
  ]
  description = "List of services to enable on the project."
}

# This is an option used by the kubernetes provider, but is part of the Vault
# security posture.
variable "authorized_source_ranges" {
  type        = string
  description = "Addresses or CIDR blocks which are allowed to connect to the Vault IP address. The default behavior is to allow anyone (0.0.0.0/0) access. You should restrict access to external IPs that need to access the Vault cluster."
}

#
# KMS options
# ------------------------------

variable "kms_key_ring_prefix" {
  type        = string
  default     = "vault"
  description = "String value to prefix the generated key ring with."
}

variable "kms_key_ring" {
  type        = string
  default     = ""
  description = "String value to use for the name of the KMS key ring. This exists for backwards-compatability for users of the existing configurations. Please use kms_key_ring_prefix instead."
}

variable "kms_crypto_key" {
  type        = string
  default     = "vault-init"
  description = "String value to use for the name of the KMS crypto key."
}

variable "num_vault_pods" {
  type        = number
  default     = 3
  description = "Number of Vault pods to run. Anti-affinity rules spread pods across available nodes. Please use an odd number for better availability."
}

#
# Kubernetes options
# ------------------------------
variable "kubernetes_secrets_crypto_key" {
  type        = string
  default     = "kubernetes-secrets"
  description = "Name of the KMS key to use for encrypting the Kubernetes database."
}

variable "vault_container" {
  type        = string
  default     = "vault:1.2.1"
  description = "Name of the Vault container image to deploy. This can be specified like \"container:version\" or as a full container URL."
}

variable "vault_init_container" {
  type        = string
  default     = "sethvargo/vault-init:1.0.0"
  description = "Name of the Vault init container image to deploy. This can be specified like \"container:version\" or as a full container URL."
}

variable "vault_recovery_shares" {
  type        = string
  default     = "1"
  description = "Number of recovery keys to generate."
}

variable "vault_recovery_threshold" {
  type        = string
  default     = "1"
  description = "Number of recovery keys required for quorum. This must be less than or equal to \"vault_recovery_keys\"."
}

infra/plan/terraform.tfvars

region                       = "<GCP_REGION>"
gke_devops_cluster_location  = "<GCP_GKE_CLUSTER_ZONE>"
master_ipv4_cidr_block       = "172.23.0.0/28"
project_id                   = "<GCP_PROJECT_ID>"
gitlab_public_ip_ranges      = "34.74.90.64/28"
authorized_source_ranges     = "<LOCAL_IP_RANGES>"
public_dns_name              = "<PUBLIC_DNS_NAME>"

infra/plan/backend.tf

terraform {
  backend "gcs" {
  }
}

infra/plan/version.tf

terraform {
  required_version = ">= 0.12"

  required_providers {
    google = "~> 3.0"
  }
}

Deploy GCP resources

Before deploying our DevOps platform, we need to export some global variables:

export GCP_PROJECT_ID=<GCP_PROJECT_ID>
export SW_PROJECT_NAME=<SW_PROJECT_NAME>
export GIT_REPOSITORY_URL=<MY_REPO>/demo-env.git

export GCP_REGION_DEFAULT=europe-west1
export GCP_GKE_CLUSTER_ZONE=europe-west1-b

export GCP_KUBE_CONTEXT_NAME="gke_${GCP_PROJECT_ID}_${GCP_GKE_CLUSTER_ZONE}_gke-cluster-devops"

export PUBLIC_DNS_NAME=
export PUBLIC_DNS_ZONE_NAME=

export TERRAFORM_BUCKET_NAME=bucket-${GCP_PROJECT_ID}-sw-gcp-terraform-backend

Create a Google Cloud Storage bucket for terraform states:

gcloud config set project ${GCP_PROJECT_ID}

gsutil mb -c standard -l ${GCP_REGION_DEFAULT} gs://${TERRAFORM_BUCKET_NAME}

gsutil versioning set on gs://${TERRAFORM_BUCKET_NAME}

Initialize the terraform by completing the backend config. The states will be saved in GCP.

cd infra/plan

terraform init \
  -backend-config="bucket=${TERRAFORM_BUCKET_NAME}" \
  -backend-config="prefix=googlecloud/terraform/state"

Now we can complete the variables in the file infra/plan/terraform.tfvars and deploy our DevOps Platform in Google Cloud !

sed -i "s/<LOCAL_IP_RANGES>/$(curl -s http://checkip.amazonaws.com/)\/32/g;s/<PUBLIC_DNS_NAME>/${PUBLIC_DNS_NAME}/g;s/<GCP_PROJECT_ID>/${GCP_PROJECT_ID}/g;s/<GCP_REGION>/${GCP_REGION_DEFAULT}/g;s/<GCP_GKE_CLUSTER_ZONE>/${GCP_GKE_CLUSTER_ZONE}/g" terraform.tfvars
terraform apply

Once the terraform is finished, we can access to the GKE Cluster using this command:

gcloud container clusters get-credentials gke-cluster-devops --zone ${GCP_GKE_CLUSTER_ZONE} --project ${GCP_PROJECT_ID}

Configuring Vault

To save Scaleway credentials in Vault, we need to set some environment variable for Vault.
Set Vault's address, the CA to use for validation, and the initial root token.

# cd infra/plan

export VAULT_ADDR="https://$(terraform output address)"

export VAULT_TOKEN="$(eval `terraform output root_token_decrypt_command`)"

export VAULT_CAPATH="$(cd ../ && pwd)/tls/ca.pem"

Save scaleway credentials:

vault secrets enable -path=scaleway/project/${SW_PROJECT_NAME} -version=2 kv

vault kv put scaleway/project/${SW_PROJECT_NAME}/credentials/access key="<SCW_ACCESS_KEY>"

vault kv put scaleway/project/${SW_PROJECT_NAME}/credentials/secret key="<SCW_SECRET_KEY>"

vault kv put scaleway/project/${SW_PROJECT_NAME}/config id="<SW_PROJECT_ID>"

To read the terraform states, reading secrets, building docker images within a Gitlab pipeline, we need to create a Google Service Account (GSA) with the necessary permissions:

gcloud iam service-accounts create gsa-dev-deployer

gcloud projects add-iam-policy-binding ${GCP_PROJECT_ID} \
  --role roles/container.developer \
  --member "serviceAccount:gsa-dev-deployer@${GCP_PROJECT_ID}.iam.gserviceaccount.com"

gcloud projects add-iam-policy-binding ${GCP_PROJECT_ID} \
  --role roles/secretmanager.secretAccessor \
  --member "serviceAccount:gsa-dev-deployer@${GCP_PROJECT_ID}.iam.gserviceaccount.com"

gcloud projects add-iam-policy-binding ${GCP_PROJECT_ID} \
  --role roles/cloudbuild.builds.builder \
  --member "serviceAccount:gsa-dev-deployer@${GCP_PROJECT_ID}.iam.gserviceaccount.com"

gcloud projects add-iam-policy-binding ${GCP_PROJECT_ID} \
  --role roles/iam.serviceAccountAdmin \
  --member "serviceAccount:gsa-dev-deployer@${GCP_PROJECT_ID}.iam.gserviceaccount.com"

Create a namespace to run Gitlab runner jobs:

kubectl create namespace sw-dev

To allow the Gitlab runner job to access GCP resources, we need to bind the GSA created above to a Kubernetes Service Account (KSA) [2]:

kubectl create serviceaccount -n sw-dev ksa-sw-dev-deployer

gcloud iam service-accounts add-iam-policy-binding \
  --role roles/iam.workloadIdentityUser \
  --member "serviceAccount:${GCP_PROJECT_ID}.svc.id.goog[sw-dev/ksa-sw-dev-deployer]" \
  gsa-dev-deployer@${GCP_PROJECT_ID}.iam.gserviceaccount.com

kubectl annotate serviceaccount \
  -n sw-dev \
  ksa-sw-dev-deployer \
  iam.gke.io/gcp-service-account=gsa-dev-deployer@${GCP_PROJECT_ID}.iam.gserviceaccount.com

Let's now create the policy policy-sw-dev-deployer to allow our Gitlab runner to read contents from Vault:

vault policy write policy-sw-dev-deployer - <<EOF
# Read-only permissions

path "scaleway/project/${SW_PROJECT_NAME}/*" {
  capabilities = [ "read" ]
}

EOF

Create a token and add the policy-sw-dev-deployer policy.

GITLAB_RUNNER_VAULT_TOKEN=$(vault token create -policy=policy-sw-dev-deployer | grep "token" | awk 'NR==1{print $2}')

If you prefer a temporary access token, configure auth methods to automatically assign a set of policies to tokens:

vault auth enable approle

vault write auth/approle/role/sw-dev-deployer \
    secret_id_ttl=10m \
    token_num_uses=10 \
    token_ttl=20m \
    token_max_ttl=30m \
    secret_id_num_uses=40 \
    token_policies=policy-sw-dev-deployer

ROLE_ID=$(vault read -field=role_id auth/approle/role/sw-dev-deployer/role-id)

SECRET_ID=$(vault write -f -field=secret_id auth/approle/role/sw-dev-deployer/secret-id)

GITLAB_RUNNER_VAULT_TOKEN=$(vault write auth/approle/login role_id="$ROLE_ID" secret_id="$SECRET_ID" | grep "token" | awk 'NR==1{print $2}')

Vault is actually accessible from the public IP created previously. However, if you have a your own domain name registered in Google Cloud DNS, you can create an alias record to access Vault from a subdomain:

gcloud dns record-sets transaction start --zone=$PUBLIC_DNS_ZONE_NAME

gcloud dns record-sets transaction add "$(gcloud compute addresses list --filter=name=vault-lb --format="value(ADDRESS)")" --name=vault.$PUBLIC_DNS_NAME. --ttl=300  --type=A --zone=$PUBLIC_DNS_ZONE_NAME

gcloud dns record-sets transaction execute --zone=$PUBLIC_DNS_ZONE_NAME

VAULT_ADDR="https://vault.${PUBLIC_DNS_NAME}"

We complete the configuration by saving the vault token in Google Secret Manager.

gcloud beta secrets create vault-token --locations $GCP_REGION_DEFAULT --replication-policy user-managed

echo -n "${GITLAB_RUNNER_VAULT_TOKEN}" | gcloud beta secrets versions add vault-token --data-file=-

Configuring GitLab

Gitlab CI

Create a Gitlab SSH Key to allow the runner to push on git repositories and save the private key in Secret Manager:

gcloud beta secrets create gitlab-ssh-key --locations $GCP_REGION_DEFAULT --replication-policy user-managed
cd ~/.ssh

ssh-keygen -t rsa -b 4096

gcloud beta secrets versions add gitlab-ssh-key --data-file=./id_rsa

Save the private key in an environment variable:

GITLAB_SSH_KEY=$(gcloud secrets versions access latest --secret=gitlab-ssh-key)

Our Gitlab runner will run in a container. To make it quick, create a Docker image with all the necessary tools: Vault, ArgoCD, Terraform, gcloud sdk, sw cli.

docker/Dockerfile

FROM gcr.io/google.com/cloudsdktool/cloud-sdk:alpine
RUN gcloud components install kustomize kpt kubectl alpha beta

# install argocd
RUN curl -sSL -o /usr/local/bin/argocd https://github.com/argoproj/argo-cd/releases/download/$(curl --silent "https://api.github.com/repos/argoproj/argo-cd/releases/latest" | grep '"tag_name"' | sed -E 's/.*"([^"]+)".*/\1/')/argocd-linux-amd64
RUN chmod +x /usr/local/bin/argocd

# install vault
ENV VAULT_VERSION=1.6.0
RUN curl -sS "https://releases.hashicorp.com/vault/${VAULT_VERSION}/vault_${VAULT_VERSION}_linux_amd64.zip" > vault.zip && \
    unzip vault.zip -d /usr/bin && \
    rm vault.zip

# install terraform
ENV TERRAFORM_VERSION=0.12.24
RUN curl -sS "https://releases.hashicorp.com/terraform/${TERRAFORM_VERSION}/terraform_${TERRAFORM_VERSION}_linux_amd64.zip" > terraform.zip && \
    unzip terraform.zip -d /usr/bin && \
    rm terraform.zip

# Install sw cli 
ENV SCW_VERSION=2.2.3
RUN curl -o /usr/local/bin/scw -L "https://github.com/scaleway/scaleway-cli/releases/download/v${SCW_VERSION}/scw-${SCW_VERSION}-linux-x86_64"
RUN chmod +x /usr/local/bin/scw

RUN vault -v
RUN terraform -v
RUN argocd
RUN gcloud -v
RUN scw version

ARG GITLAB_SSH_KEY
ARG VAULT_ADDR
ARG VAULT_CA
ARG VAULT_TOKEN

RUN echo -n $VAULT_CA > /home/ca.pem
RUN sed -i 's/\\n/\n/g' /home/ca.pem

ENV GITLAB_SSH_KEY=$GITLAB_SSH_KEY
ENV VAULT_ADDR=$VAULT_ADDR
ENV VAULT_TOKEN=$VAULT_TOKEN
ENV VAULT_CAPATH="/home/ca.pem"

docker/cloudbuild.yaml

steps:
- name: 'gcr.io/cloud-builders/docker'
  args: [ 'build', 
  '--build-arg',
  'VAULT_CA=${_VAULT_CA}',
  '--build-arg',
  'GITLAB_SSH_KEY=${_GITLAB_SSH_KEY}',
  '-t', 'eu.gcr.io/${_PROJECT_ID}/tools:$_VERSION', 
  '.' ]
images:
   - 'eu.gcr.io/${_PROJECT_ID}/tools:$_VERSION'

We use Google Cloud Build to build an publish our Image in Google Container Registry (GCR)

cd docker
gcloud builds submit --config cloudbuild.yaml --substitutions \
_VAULT_CA="$(awk 'NF {sub(/\r/, ""); printf "%s\\n",$0;}' ../infra/tls/ca.pem)",_VERSION="latest",_GITLAB_SSH_KEY="$GITLAB_SSH_KEY",_PROJECT_ID="$GCP_PROJECT_ID"

Now we can configure our Gitlab runner in Kubernetes. Start by installing Helm 3:

curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3
chmod 700 get_helm.sh
./get_helm.sh

Create kubernetes roles to the Gitlab runner.

gitlab/dev/rbac-gitlab-demo-dev.yml

apiVersion: v1
kind: ServiceAccount
metadata:
  name: ksa-sw-devops-gitlab-deployer
  namespace: sw-dev
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: role-ksa-sw-devops-gitlab-deployer
  namespace: sw-dev
rules:
- apiGroups: [""] # "" indicates the sw API group
  resources: ["pods", "pods/exec", "secrets"]
  verbs: ["get", "list", "watch", "create", "patch", "delete"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: rolebinding-ksa-sw-devops-gitlab-deployer
  namespace: sw-dev
subjects:
- kind: ServiceAccount
  name: ksa-sw-devops-gitlab-deployer # Name is case sensitive
  apiGroup: ""
roleRef:
  kind: Role #this must be Role or ClusterRole
  name: role-ksa-sw-devops-gitlab-deployer # this must match the name of the Role or ClusterRole you wish to bind to
  apiGroup: rbac.authorization.k8s.io

kubectl apply -f gitlab/dev/rbac-gitlab-demo-dev.yml

Add Gitlab Helm package:

helm repo add gitlab https://charts.gitlab.io

Save the runner registration token in a secret:

kubectl create secret generic secret-sw-devops-gitlab-runner-tokens --from-literal=runner-token='' --from-literal=runner-registration-token='<DEMO_INFRA_REPO_RUNNER_TOKEN>' -n sw-dev

Deploy the Gitlab Runner in Kubernetes:

gitlab/dev/values.yaml

## Specify a imagePullPolicy
## 'Always' if imageTag is 'latest', else set to 'IfNotPresent'
## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
##
imagePullPolicy: IfNotPresent

## The GitLab Server URL (with protocol) that want to register the runner against
## ref: https://docs.gitlab.com/runner/commands/README.html#gitlab-runner-register
##
gitlabUrl: https://gitlab.com/

## The registration token for adding new Runners to the GitLab server. This must
## be retrieved from your GitLab instance.
## ref: https://docs.gitlab.com/ee/ci/runners/
##
# runnerRegistrationToken: "<>"

## Unregister all runners before termination
##
## Updating the runner's chart version or configuration will cause the runner container
## to be terminated and created again. This may cause your Gitlab instance to reference
## non-existant runners. Un-registering the runner before termination mitigates this issue.
## ref: https://docs.gitlab.com/runner/commands/README.html#gitlab-runner-unregister
##
unregisterRunners: true

## When stopping the runner, give it time to wait for its jobs to terminate.
##
## Updating the runner's chart version or configuration will cause the runner container
## to be terminated with a graceful stop request. terminationGracePeriodSeconds
## instructs Kubernetes to wait long enough for the runner pod to terminate gracefully.
## ref: https://docs.gitlab.com/runner/commands/#signals
terminationGracePeriodSeconds: 3600

## Set the certsSecretName in order to pass custom certificates for GitLab Runner to use
## Provide resource name for a Kubernetes Secret Object in the same namespace,
## this is used to populate the /etc/gitlab-runner/certs directory
## ref: https://docs.gitlab.com/runner/configuration/tls-self-signed.html#supported-options-for-self-signed-certificates
##
#certsSecretName:

## Configure the maximum number of concurrent jobs
## ref: https://docs.gitlab.com/runner/configuration/advanced-configuration.html#the-global-section
##
concurrent: 10


## Defines in seconds how often to check GitLab for a new builds
## ref: https://docs.gitlab.com/runner/configuration/advanced-configuration.html#the-global-section
##
checkInterval: 30

## For RBAC support:
rbac:
  create: false

  ## Run the gitlab-bastion container with the ability to deploy/manage containers of jobs
  ## cluster-wide or only within namespace
  clusterWideAccess: false

  ## If RBAC is disabled in this Helm chart, use the following Kubernetes Service Account name.
  ##
  serviceAccountName: ksa-sw-devops-gitlab-deployer

## Configure integrated Prometheus metrics exporter
## ref: https://docs.gitlab.com/runner/monitoring/#configuration-of-the-metrics-http-server
##
metrics:
  enabled: true

## Configuration for the Pods that the runner launches for each new job
##
runners:
  # config: |
  #  [[runners]]
  #    [runners.kubernetes]
  #      image = "ubuntu:16.04"

  ## Default container image to use for builds when none is specified
  ##
  image: ubuntu:18.04

  ## Specify whether the runner should be locked to a specific project: true, false. Defaults to true.
  ##
  locked: false

  ## The amount of time, in seconds, that needs to pass before the runner will
  ## timeout attempting to connect to the container it has just created.
  ## ref: https://docs.gitlab.com/runner/executors/kubernetes.html
  ##
  pollTimeout: 360

  ## Specify whether the runner should only run protected branches.
  ## Defaults to False.
  ##
  ## ref: https://docs.gitlab.com/ee/ci/runners/#protected-runners
  ##
  protected: true

  ## Service Account to be used for runners
  ##
  serviceAccountName: ksa-sw-dev-deployer

  ## Run all containers with the privileged flag enabled
  ## This will allow the docker:stable-dind image to run if you need to run Docker
  ## commands. Please read the docs before turning this on:
  ## ref: https://docs.gitlab.com/runner/executors/kubernetes.html#using-docker-dind
  ##
  privileged: false

  ## The name of the secret containing runner-token and runner-registration-token
  secret: secret-sw-devops-gitlab-runner-tokens

  ## Namespace to run Kubernetes jobs in (defaults to 'default')
  ##
  namespace: sw-dev

  ## Build Container specific configuration
  ##
  builds:
    # cpuLimit: 200m
    # memoryLimit: 256Mi
    cpuRequests: 100m
    memoryRequests: 128Mi

  ## Service Container specific configuration
  ##
  services:
    # cpuLimit: 200m
    # memoryLimit: 256Mi
    cpuRequests: 100m
    memoryRequests: 128Mi

  ## Helper Container specific configuration
  ##
  helpers:
    # cpuLimit: 200m
    # memoryLimit: 256Mi
    cpuRequests: 100m
    memoryRequests: 128Mi

  ## Specify the tags associated with the runner. Comma-separated list of tags.
  ##
  ## ref: https://docs.gitlab.com/ce/ci/runners/#using-tags
  ##
  tags: "k8s-dev-runner"

  ## Node labels for pod assignment
  ##
  nodeSelector: 
    nodepool: devops

  ## Specify node tolerations for CI job pods assignment
  ## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  nodeTolerations:
    - key: "devops-reserved-pool"
      operator: "Equal"
      value: "true"
      effect: "NoSchedule"

  ## Configure environment variables that will be injected to the pods that are created while
  ## the build is running. These variables are passed as parameters, i.e. `--env "NAME=VALUE"`,
  ## to `gitlab-runner register` command.
  ##
  ## Note that `envVars` (see below) are only present in the runner pod, not the pods that are
  ## created for each build.
  ##
  ## ref: https://docs.gitlab.com/runner/commands/#gitlab-runner-register
  ##
  # env:

  ## Distributed runners caching
  ## ref: https://gitlab.com/gitlab-org/gitlab-runner/blob/master/docs/configuration/autoscale.md#distributed-runners-caching
  ##
  ## If you want to use gcs based distributing caching:
  ## First of all you need to uncomment General settings and GCS settings sections.
  # cache: 
    ## General settings
    # cacheType: gcs
    # cachePath: "k8s_platform_sw_devops_runner"
    # cacheShared: false

    ## GCS settings
    # gcsBucketName:
    ## Use this line for access using access-id and private-key
    # secretName: gcsaccess
    ## Use this line for access using google-application-credentials file
    # secretName: google-application-credentials

  ## Helper container security context configuration
  ## Refer to https://docs.gitlab.com/runner/executors/kubernetes.html#using-security-context
  # pod_security_context:
    # run_as_non_root: true
    # run_as_user: 100
    # run_as_group: 100
    # fs_group: 65533
    # supplemental_groups: [101, 102]

helm install -n sw-dev sw-dev -f gitlab/dev/values.yaml gitlab/gitlab-runner

Let's test if the Gitlab runner has the appropriate authorizations:

kubectl run -it \
  --image eu.gcr.io/${GCP_PROJECT_ID}/tools \
  --serviceaccount ksa-sw-dev-deployer \
  --namespace sw-dev \
  gitlab-runner-auth-test

Inside the pod container, run gcloud auth list. You can delete the pod afterwards kubectl delete pod gitlab-runner-auth-test -n sw-dev.

Gitlab Projects

Create repositories demo-app, demo-env and demo-infra.
Add protected tags v* on both repositories -app and -env. Go to Settings > Repository > Protected Tags.
Enable Gitlab runners on -infra, -env and -app. Go to Settings > CI / CD > Runners > Specific Runners > Enable for this project.
Lock gitlab runners for current projects (icon "edit" of the activated runner).

Configuring ArgoCD

Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. Let's configure it in our Kubernetes cluster:

Install ArgoCD in Kubernetes:

kubectl create namespace argocd
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml
kubectl create clusterrolebinding cluster-admin-binding --clusterrole=cluster-admin --user="$(gcloud config get-value account)"

To access the Argo CD API Server, we need to patch the service:

kubectl patch svc argocd-server -n argocd -p '{"spec": {"type": "LoadBalancer"}}'

In addition to the default configuration we need to :

Register the Gitlab env repository.
Create a policy for the ArgoCD users.

k8s/argocd-configmap.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: argocd-cm
  namespace: argocd
  labels:
    app.kubernetes.io/name: argocd-cm
    app.kubernetes.io/part-of: argocd
data:
  repositories: |
    - url: <GIT_REPOSITORY_URL>
      passwordSecret:
        name: demo
        key: password
      usernameSecret:
        name: demo
        key: username
  # add an additional local user with apiKey and login capabilities
  #   apiKey - allows generating API keys
  #   login - allows to login using UI
  admin.enabled: "true"
  accounts.demo.enabled: "true"
  accounts.demo: login
  accounts.gitlab.enabled: "true"
  accounts.gitlab: apiKey

k8s/argocd-rbac-configmap.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: argocd-rbac-cm
  namespace: argocd
  labels:
    app.kubernetes.io/name: argocd-rbac-cm
    app.kubernetes.io/part-of: argocd
data:
  # policies
  policy.default: role:readonly
  policy.csv: |
    p, role:demo-admins, applications, create, *, allow
    p, role:demo-admins, applications, get, *, allow
    p, role:demo-admins, applications, list, *, allow
    p, role:demo-admins, clusters, create, *, allow
    p, role:demo-admins, clusters, get, *, allow
    p, role:demo-admins, clusters, list, *, allow
    p, role:demo-admins, projects, create, *, allow
    p, role:demo-admins, projects, get, *, allow
    p, role:demo-admins, projects, list, *, allow
    p, role:demo-admins, repositories, create, *, allow
    p, role:demo-admins, repositories, get, *, allow
    p, role:demo-admins, repositories, list, *, allow

    g, gitlab, role:demo-admins

If we have a domain name, we can access ArgoCD from a subdomain.

Create a DNS for ArgoCD
Create SSL certificates

k8s/argocd-server-ingress.yaml

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: argocd-server-https-ingress
  namespace: argocd
  annotations:
    ingress.kubernetes.io/ssl-redirect: "true"
    kubernetes.io/ingress.global-static-ip-name: argocd
    networking.gke.io/managed-certificates: argocd
spec:
  backend:
    serviceName: argocd-server
    servicePort: http
  rules:
  - host: argocd.<PUBLIC_DNS_NAME>
    http:
      paths:
      - path: /
        backend:
          serviceName: argocd-server
          servicePort: http

k8s/argocd-server-managed-certificate.yaml

apiVersion: networking.gke.io/v1beta1
kind: ManagedCertificate
metadata:
  name: argocd
  namespace: argocd
spec:
  domains:
    - argocd.<PUBLIC_DNS_NAME>

k8s/argocd-server.patch.yaml

spec:
  template:
    spec:
      containers:
        - command:
          - argocd-server
          - --staticassets
          - /shared/app
          - --insecure
          name: argocd-server

We will apply those manifests later.

Configure the app-demo-dev application in ArgoCD:

cd k8s

export GITLAB_USERNAME_SECRET=<GITLAB_USERNAME_SECRET>
export GITLAB_CI_PUSH_TOKEN=<GITLAB_CI_PUSH_TOKEN>

kubectl create secret generic demo -n argocd \
--from-literal=username=$GITLAB_USERNAME_SECRET \
--from-literal=password=$GITLAB_CI_PUSH_TOKEN

As we saw, if you have a cloud DNS available, we can create an ingress for ArgoCD and attaching an external static IP + a managed SSL certificate:

gcloud compute addresses create argocd --global
gcloud dns record-sets transaction start --zone=$PUBLIC_DNS_ZONE_NAME
gcloud dns record-sets transaction add $(gcloud compute addresses list --filter=name=argocd --format="value(ADDRESS)") --name=argocd.$PUBLIC_DNS_NAME. --ttl=300  --type=A --zone=$PUBLIC_DNS_ZONE_NAME
gcloud dns record-sets transaction execute --zone=$PUBLIC_DNS_ZONE_NAME

To reach ArgoCD services, we need to allow GCP Load balancers IP ranges:

gcloud compute firewall-rules create fw-allow-health-checks \
    --network=vpc \
    --action=ALLOW \
    --direction=INGRESS \
    --source-ranges=35.191.0.0/16,130.211.0.0/22 \
    --rules=tcp

We can now enable ingress resource for ArgoCD:

kubectl patch svc argocd-server -n argocd -p '{"spec": {"type": "NodePort"}}'
kubectl annotate svc argocd-server -n argocd \
  cloud.google.com/neg='{"ingress": true}'
sed -i "s/<PUBLIC_DNS_NAME>/${PUBLIC_DNS_NAME}/g" argocd-server-managed-certificate.yaml
kubectl apply -f argocd-server-managed-certificate.yaml
sed -i "s/<PUBLIC_DNS_NAME>/${PUBLIC_DNS_NAME}/g" argocd-server-ingress.yaml
kubectl apply -f argocd-server-ingress.yaml
kubectl patch deployment argocd-server -n argocd -p "$(cat argocd-server.patch.yaml)"

Once ArgoCD server ingress is created, login using the CLI:

kubectl wait ingress argocd-server-https-ingress --for=condition=available --timeout=600s -n argocd

ARGOCD_ADDR="argocd.${PUBLIC_DNS_NAME}"
# get default password
ARGOCD_DEFAULT_PASSWORD=$(kubectl get pods -n argocd -l app.kubernetes.io/name=argocd-server -o name | cut -d'/' -f 2)
argocd login $ARGOCD_ADDR --grpc-web
# change password
argocd account update-password
# for any issue, reset the password, edit the argocd-secret secret and update the admin.password field with a new bcrypt hash. You can use a site like https://www.browserling.com/tools/bcrypt to generate a new hash.
kubectl -n argocd patch secret argocd-secret \
  -p '{"stringData": {
    "admin.password": "<BCRYPT_HASH>",
    "admin.passwordMtime": "'$(date +%FT%T%Z)'"
  }}'

Create repositories, users and rbacs:

sed -i "s,<GIT_REPOSITORY_URL>,$GIT_REPOSITORY_URL,g" argocd-configmap.yaml
kubectl apply -n argocd -f argocd-configmap.yaml
kubectl apply -n argocd -f argocd-rbac-configmap.yaml

Change demo user password:

argocd account update-password --account demo --current-password "${ARGOCD_DEFAULT_PASSWORD}" --new-password "<NEW_PASSWORD>"

Generate an access token for ArgoCD:

AROGOCD_TOKEN=$(argocd account generate-token --account gitlab)

Save ArgoCD token in Secret Manager:

gcloud beta secrets create argocd-token --locations $GCP_REGION_DEFAULT --replication-policy user-managed
echo -n "${AROGOCD_TOKEN}" | gcloud beta secrets versions add argocd-token --data-file=-

Scaleway

scw init

Create a service account to allow Kapsule to access Google Container Registry:

SW_SA_EMAIL=$(gcloud iam service-accounts --format='value(email)' create sw-gcr-auth-ro)
gcloud projects add-iam-policy-binding ${GCP_PROJECT_ID} --member serviceAccount:$SW_SA_EMAIL --role roles/storage.objectViewer

Conclusion

Our DevOps platform is now ready to deploy resources on Scaleway. In the next part we will see how to deploy a Kapsule Cluster in Scaleway from Gitlab runners registered in Google Cloud.

Documentation

[1] https://github.com/sethvargo/vault-on-gke
[2] https://cloud.google.com/kubernetes-engine/docs/how-to/workload-identity

DEV Community

Building a 🇺🇸 🇪🇺 Multi-cloud DevOps platform

Prerequisites

Plan

Terraform

Enabling Services

Virtual Private Network

GKE Cluster

Vault

TLS

Kubernetes

Other

Deploy GCP resources

Configuring Vault

Configuring GitLab

Gitlab CI

Gitlab Projects

Configuring ArgoCD

Scaleway

Conclusion

Documentation

Top comments (0)

Read next

Increase the Size of a Virtual Machine on VMware ESXi

Mastering Istio in Kubernetes: A Comprehensive Guide to Microservices Management

My journey from a CNCF contributor to LFX mentee

A Beginner’s Guide to Machine Learning