Merge pull request #11 from minrk/bigger-user-nodes

increase user resources

jupyterhub/gfts-hub/values.yaml

@@ -29,11 +29,11 @@ jupyterhub:
       tag: "set-by-chartpress"
       pullPolicy: Always
     memory:
-      limit: 12G
-      guarantee: 4G
+      limit: 24G
+      guarantee: 8G
     cpu:
-      limit: 4
-      guarantee: 1
+      limit: 6
+      guarantee: 2
     extraEnv:
       CULL_CONNECTED: "1"
       CULL_TIMEOUT: "1800"
@@ -83,8 +83,10 @@ jupyterhub:
       replicas: 0
     userPods:
       nodeAffinity:
-        # TODO: 'require' when we deploy for real
-        matchNodePurpose: prefer
+        # 'prefer' lets users run on small core nodes
+        # to save cost
+        # 'require' protects core nodes from user resource consumption
+        matchNodePurpose: require
     corePods:
       nodeAffinity:
         matchNodePurpose: require

terraform/main.tf

@@ -89,6 +89,8 @@ resource "ovh_cloud_project_kube" "cluster" {
   update_policy = "MINIMAL_DOWNTIME"
 }
 
+# ovh node flavors: https://www.ovhcloud.com/en/public-cloud/prices/
+
 resource "ovh_cloud_project_kube_nodepool" "core" {
   service_name = local.service_name
   kube_id      = ovh_cloud_project_kube.cluster.id
@@ -122,10 +124,10 @@ resource "ovh_cloud_project_kube_nodepool" "core" {
 resource "ovh_cloud_project_kube_nodepool" "user" {
   service_name = local.service_name
   kube_id      = ovh_cloud_project_kube.cluster.id
-  name         = "user-202401"
-  # r2-120 is 8 core, 120GB
-  flavor_name = "b3-16"
-  max_nodes   = 1
+  name         = "user-202402"
+  # b3-32 is 8-core, 32GB
+  flavor_name = "b3-32"
+  max_nodes   = 2
   min_nodes   = 0
   autoscale   = true
   template {