mirror of
https://github.com/poseidon/typhoon
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20b76d6e00
* When a worker managed instance group's (MIG) instance template
changes (including machine type, disk size, or Butane snippets
but excluding new AMIs), use Google Cloud's rolling update features
to ensure instances match declared state
* Ignore new AMIs since Fedora CoreOS and Flatcar Linux nodes
already auto-update and reboot themselves
* Rolling updates will create surge instances, wait for health
checks, then delete old instances (0 unavilable instances)
* Instances are replaced to ensure new Ignition/Butane snippets
are respected
* Add managed instance group autohealing (i.e. health checks) to
ensure new instances' Kubelet is running
Renames
* Name apiserver and kubelet health checks consistently
* Rename MIG from `${var.name}-worker-group` to `${var.name}-worker`
Rel: https://cloud.google.com/compute/docs/instance-groups/rolling-out-updates-to-managed-instance-groups
94 lines
2.7 KiB
HCL
94 lines
2.7 KiB
HCL
# 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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# DNS record
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name = format("%s.%s.", var.cluster_name, var.dns_zone)
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type = "A"
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ttl = 300
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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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# 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_tcp_proxy.apiserver.self_link
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}
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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 ${var.cluster_name} controllers"
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backend_service = google_compute_backend_service.apiserver.self_link
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}
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# Global backend service backed by unmanaged instance groups
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resource "google_compute_backend_service" "apiserver" {
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name = "${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 = "300"
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# controller(s) spread across zonal instance groups
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dynamic "backend" {
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for_each = google_compute_instance_group.controllers
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content {
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group = backend.value.self_link
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}
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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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# Instance group of heterogeneous (unmanged) controller instances
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resource "google_compute_instance_group" "controllers" {
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count = min(var.controller_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 = "6443"
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}
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# add instances in the zone into the instance group
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instances = matchkeys(
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google_compute_instance.controllers.*.self_link,
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google_compute_instance.controllers.*.zone,
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[element(local.zones, count.index)],
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)
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}
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# Health check for kube-apiserver
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resource "google_compute_health_check" "apiserver" {
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name = "${var.cluster_name}-apiserver-health"
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description = "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 = 1
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unhealthy_threshold = 3
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ssl_health_check {
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port = "6443"
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}
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}
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