ae36dc253b
Phase 2 of platform stack split. 5 more modules extracted into independent stacks. All applied successfully with zero destroys. Cloudflared now reads k8s_users from Vault directly to compute user_domains. Woodpecker pipeline runs all 8 extracted stacks in parallel. Memory bumped to 6Gi for 9 concurrent TF processes. Platform reduced from 27 to 19 modules.
62 lines
1.3 KiB
HCL
62 lines
1.3 KiB
HCL
resource "helm_release" "caretta" {
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namespace = kubernetes_namespace.monitoring.metadata[0].name
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create_namespace = true
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name = "caretta"
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repository = "https://helm.groundcover.com/"
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chart = "caretta"
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version = "0.0.16"
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values = [yamlencode({
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grafana = {
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enabled = false
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}
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victoria-metrics-single = {
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enabled = false
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}
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tolerations = [
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{
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key = "node-role.kubernetes.io/control-plane"
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operator = "Exists"
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effect = "NoSchedule"
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},
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{
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key = "nvidia.com/gpu"
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operator = "Exists"
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effect = "NoSchedule"
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}
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]
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resources = {
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requests = {
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cpu = "10m"
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memory = "600Mi"
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}
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limits = {
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memory = "600Mi"
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}
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}
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})]
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}
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resource "kubernetes_service" "caretta_metrics" {
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metadata {
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name = "caretta-metrics"
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namespace = kubernetes_namespace.monitoring.metadata[0].name
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labels = {
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app = "caretta"
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}
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}
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spec {
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selector = {
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app = "caretta"
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}
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port {
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name = "metrics"
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port = 7117
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target_port = 7117
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protocol = "TCP"
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}
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}
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}
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# Caretta dashboard is now loaded via the grafana_dashboards for_each in grafana.tf
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