Switch GCP network lb to global TCP proxy lb
* Allow multi-controller clusters on Google Cloud * GCP regional network load balancers have a long open bug in which requests originating from a backend instance are routed to the instance itself, regardless of whether the health check passes or not. As a result, only the 0th controller node registers. We've recommended just using single master GCP clusters for a while * https://issuetracker.google.com/issues/67366622 * Workaround issue by switching to a GCP TCP Proxy load balancer. TCP proxy lb routes traffic to a backend service (global) of instance group backends. In our case, spread controllers across 3 zones (all regions have 3+ zones) and organize them in 3 zonal unmanaged instance groups that serve as backends. Allows multi-controller cluster creation * GCP network load balancers only allowed legacy HTTP health checks so kubelet 10255 was checked as an approximation of controller health. Replace with TCP apiserver health checks to detect unhealth or unresponsive apiservers. * Drawbacks: GCP provision time increases, tailed logs now timeout (similar tradeoff in AWS), controllers only span 3 zones instead of the exact number in the region * Workaround in Typhoon has been known and posted for 5 months, but there still appears to be no better alternative. Its probably time to support multi-master and accept the downsides
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Dalton Hubble
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@ -4,6 +4,12 @@ Notable changes between versions.
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## Latest
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#### Google Cloud
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* Add support for multi-controller clusters (i.e. multi-master) ([#54](https://github.com/poseidon/typhoon/issues/54), [#190](https://github.com/poseidon/typhoon/pull/190))
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* Switch from Google Cloud network load balancer to a TCP proxy load balancer. Avoid a [bug](https://issuetracker.google.com/issues/67366622) in Google network load balancers that limited clusters to only bootstrapping one controller node.
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* Add TCP health check for apiserver pods on controllers. Replace kubelet check approximation.
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#### Addons
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* Update kube-state-metrics from v1.3.0 to v1.3.1
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@ -252,7 +252,7 @@ resource "google_dns_managed_zone" "zone-for-clusters" {
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| Name | Description | Default | Example |
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|:-----|:------------|:--------|:--------|
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| controller_count | Number of controllers (i.e. masters) | 1 | 1 |
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| controller_count | Number of controllers (i.e. masters) | 1 | 3 |
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| worker_count | Number of workers | 1 | 3 |
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| controller_type | Machine type for controllers | "n1-standard-1" | See below |
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| worker_type | Machine type for workers | "n1-standard-1" | See below |
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@ -268,9 +268,6 @@ resource "google_dns_managed_zone" "zone-for-clusters" {
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Check the list of valid [machine types](https://cloud.google.com/compute/docs/machine-types).
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!!! warning
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Set controller_count to 1. A bug in Google Cloud network load balancer health checking prevents multiple controllers from bootstrapping. There are workarounds, but they all involve tradeoffs we're uncomfortable recommending. See [#54](https://github.com/poseidon/typhoon/issues/54).
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#### Preemption
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Add `worker_preemeptible = "true"` to allow worker nodes to be [preempted](https://cloud.google.com/compute/docs/instances/preemptible) at random, but pay [significantly](https://cloud.google.com/compute/pricing) less. Clusters tolerate stopping instances fairly well (reschedules pods, but cannot drain) and preemption provides a nice reward for running fault-tolerant cluster systems.`
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@ -9,7 +9,7 @@ Provisioning times vary based on the platform. Sampling the time to create (appl
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| AWS | 6 min | 5 min |
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| Bare-Metal | 10-14 min | NA |
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| Digital Ocean | 3 min 30 sec | 20 sec |
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| Google Cloud | 4 min | 4 min 30 sec |
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| Google Cloud | 7 min | 4 min 30 sec |
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Notes:
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@ -1,10 +1,5 @@
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# Static IPv4 address for the Network Load Balancer
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resource "google_compute_address" "controllers-ip" {
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name = "${var.cluster_name}-controllers-ip"
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}
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# DNS record for the Network Load Balancer
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resource "google_dns_record_set" "controllers" {
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# TCP Proxy load balancer DNS record
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resource "google_dns_record_set" "apiserver" {
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# DNS Zone name where record should be created
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managed_zone = "${var.dns_zone_name}"
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@ -13,44 +8,88 @@ resource "google_dns_record_set" "controllers" {
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type = "A"
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ttl = 300
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# IPv4 address of controllers' network load balancer
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rrdatas = ["${google_compute_address.controllers-ip.address}"]
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# IPv4 address of apiserver TCP Proxy load balancer
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rrdatas = ["${google_compute_global_address.apiserver-ipv4.address}"]
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}
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# Network Load Balancer for controllers
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resource "google_compute_forwarding_rule" "controller-https-rule" {
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name = "${var.cluster_name}-controller-https-rule"
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ip_address = "${google_compute_address.controllers-ip.address}"
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# Static IPv4 address for the TCP Proxy Load Balancer
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resource "google_compute_global_address" "apiserver-ipv4" {
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name = "${var.cluster_name}-apiserver-ip"
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ip_version = "IPV4"
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}
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# Forward IPv4 TCP traffic to the TCP proxy load balancer
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resource "google_compute_global_forwarding_rule" "apiserver" {
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name = "${var.cluster_name}-apiserver"
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ip_address = "${google_compute_global_address.apiserver-ipv4.address}"
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ip_protocol = "TCP"
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port_range = "443"
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target = "${google_compute_target_pool.controllers.self_link}"
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target = "${google_compute_target_tcp_proxy.apiserver.self_link}"
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}
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# Target pool of instances for the controller(s) Network Load Balancer
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resource "google_compute_target_pool" "controllers" {
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name = "${var.cluster_name}-controller-pool"
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# Global TCP Proxy Load Balancer for apiservers
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resource "google_compute_target_tcp_proxy" "apiserver" {
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name = "${var.cluster_name}-apiserver"
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description = "Distribute TCP load across ${var.cluster_name} controllers"
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backend_service = "${google_compute_backend_service.apiserver.self_link}"
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}
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instances = [
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"${google_compute_instance.controllers.*.self_link}",
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]
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health_checks = [
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"${google_compute_http_health_check.kubelet.name}",
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]
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# Global backend service backed by unmanaged instance groups
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resource "google_compute_backend_service" "apiserver" {
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name = "${var.cluster_name}-apiserver"
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description = "${var.cluster_name} apiserver service"
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protocol = "TCP"
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port_name = "apiserver"
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session_affinity = "NONE"
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timeout_sec = "60"
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# controller(s) spread across zonal instance groups
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backend {
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group = "${google_compute_instance_group.controllers.0.self_link}"
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}
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backend {
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group = "${google_compute_instance_group.controllers.1.self_link}"
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}
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backend {
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group = "${google_compute_instance_group.controllers.2.self_link}"
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}
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health_checks = ["${google_compute_health_check.apiserver.self_link}"]
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}
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# Kubelet HTTP Health Check
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resource "google_compute_http_health_check" "kubelet" {
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name = "${var.cluster_name}-kubelet-health"
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description = "Health check Kubelet health host port"
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# Instance group of heterogeneous (unmanged) controller instances
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resource "google_compute_instance_group" "controllers" {
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count = "${length(local.zones)}"
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name = "${format("%s-controllers-%s", var.cluster_name, element(local.zones, count.index))}"
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zone = "${element(local.zones, count.index)}"
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named_port {
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name = "apiserver"
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port = "443"
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}
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# add instances in the zone into the instance group
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instances = [
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"${matchkeys(google_compute_instance.controllers.*.self_link,
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google_compute_instance.controllers.*.zone,
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list(element(local.zones, count.index)))}"
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]
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}
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# TCP health check for apiserver
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resource "google_compute_health_check" "apiserver" {
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name = "${var.cluster_name}-apiserver-tcp-health"
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description = "TCP health check for kube-apiserver"
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timeout_sec = 5
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check_interval_sec = 5
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healthy_threshold = 2
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unhealthy_threshold = 4
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healthy_threshold = 1
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unhealthy_threshold = 3
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port = 10255
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request_path = "/healthz"
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tcp_health_check {
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port = "443"
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}
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}
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@ -19,12 +19,19 @@ data "google_compute_zones" "all" {
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region = "${var.region}"
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}
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locals {
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# TCP proxy load balancers require a fixed number of zonal backends. Spread
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# controllers over up to 3 zones, since all GCP regions have at least 3.
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zones = "${slice(data.google_compute_zones.all.names, 0, 3)}"
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controllers_ipv4_public = ["${google_compute_instance.controllers.*.network_interface.0.access_config.0.assigned_nat_ip}"]
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}
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# Controller instances
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resource "google_compute_instance" "controllers" {
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count = "${var.controller_count}"
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name = "${var.cluster_name}-controller-${count.index}"
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zone = "${element(data.google_compute_zones.all.names, count.index)}"
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zone = "${element(local.zones, count.index)}"
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machine_type = "${var.controller_type}"
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metadata {
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@ -51,10 +58,6 @@ resource "google_compute_instance" "controllers" {
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tags = ["${var.cluster_name}-controller"]
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}
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locals {
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controllers_ipv4_public = ["${google_compute_instance.controllers.*.network_interface.0.access_config.0.assigned_nat_ip}"]
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}
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# Controller Container Linux Config
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data "template_file" "controller_config" {
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count = "${var.controller_count}"
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@ -66,7 +66,7 @@ resource "null_resource" "bootkube-start" {
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depends_on = [
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"module.bootkube",
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"module.workers",
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"google_dns_record_set.controllers",
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"google_dns_record_set.apiserver",
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"null_resource.copy-controller-secrets",
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]
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