Move data8 to custom gamma pool

The gamma pool is now n1-custom-16-16384, so 16 cores and 16GB of RAM, which should be a better match for our CPU / memory guarantee than the earlier n1-highmem-8.
yuvipanda · Nov 5, 2021 · acd40b5 · acd40b5
1 parent cdea040
commit acd40b5
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diff --git a/deployments/data8/config/common.yaml b/deployments/data8/config/common.yaml
@@ -140,7 +140,7 @@ jupyterhub:
 
   singleuser:
     nodeSelector:
-      hub.jupyter.org/pool-name: delta-pool
+      hub.jupyter.org/pool-name: gamma-pool
     storage:
       type: static
       static:

diff --git a/node-placeholder/values.yaml b/node-placeholder/values.yaml
@@ -90,12 +90,12 @@ nodePools:
       hub.jupyter.org/pool-name: gamma-pool
     resources:
       requests:
-        memory: 46786Mi
-    replicas: 0
+        memory: 13000Mi
+    replicas: 1
   delta:
     nodeSelector:
       hub.jupyter.org/pool-name: delta-pool
     resources:
       requests:
         memory: 46786Mi
-    replicas: 1
+    replicas: 0