Option to scale jobsRunner and WF-backend resource from main

charts/retool/Chart.yaml

@@ -2,7 +2,7 @@ apiVersion: v2
 name: retool
 description: A Helm chart for Kubernetes
 type: application
-version: 6.2.10
+version: 6.3.0
 maintainers:
   - name: Retool Engineering
     email: engineering+helm@retool.com

charts/retool/templates/deployment_jobs.yaml

@@ -179,7 +179,11 @@ spec:
         {{- end }}
         {{- end }}
         resources:
+{{- if .Values.jobRunner.resources }}
+{{ toYaml .Values.jobRunner.resources | indent 10 }}
+{{- else }}
 {{ toYaml .Values.resources | indent 10 }}
+{{- end }}
         {{- if regexMatch "^([0-9]+)\\.([0-9]+)\\.([0-9]+)" .Values.image.tag }}
         {{- if semverCompare ">=2.110.0-0" .Values.image.tag }}
         livenessProbe:

charts/retool/templates/deployment_workflows.yaml

@@ -244,7 +244,11 @@ spec:
           periodSeconds: {{ .Values.readinessProbe.periodSeconds }}
 {{- end }}
         resources:
+{{- if .Values.workflows.backend.resources }}
+{{ toYaml .Values.workflows.backend.resources | indent 10 }}
+{{- else }}
 {{ toYaml .Values.resources | indent 10 }}
+{{- end }}
         volumeMounts:
         {{- range $configFile := (keys .Values.files) }}
         - name: {{ template "retool.name" $ }}

charts/retool/values.yaml

@@ -232,7 +232,7 @@ extraVolumeMounts: []
 
 extraVolumes: []
 
-# These resource specifications apply to the main backend and workflows backend pods.
+# These resource specifications will apply to the main backend, jobs-runner, dbconnector, and workflows-backend pods unless container specific resources are set.
 resources:
   # If you have more than 1 replica, the minimum recommended resources configuration is as follows:
   # - cpu: 2048m
@@ -300,6 +300,15 @@ jobRunner:
   # will already launch a job runner pod
   # enabled: true
 
+  # If necessary, specify the resources to provision the jobRunner pod separately from the main backend pods.
+  # resources:
+  #   limits:
+  #     cpu: 4096m
+  #     memory: 8192Mi
+  #   requests:
+  #     cpu: 2048m
+  #     memory: 4096Mi
+
   # Annotations for job runner pods
   annotations: {}
 
@@ -340,6 +349,15 @@ workflows:
     # will launch 9 pods -- 4 workflow backend, 1 workflow workers, and 4 for temporal cluster
     replicaCount: 1
 
+    # If necessary, specify the resources to provision the workflows-backend pod separately from the main backend pods.
+    # resources:
+    #   limits:
+    #     cpu: 4096m
+    #     memory: 8192Mi
+    #   requests:
+    #     cpu: 2048m
+    #     memory: 4096Mi
+
   # Timeout for queries, in ms. This will set the timeout for workflows-related pods only
   # If this value is not set but config.dbConnectorTimeout is, we will set workflows pod timeouts
   # to .Values.config.dbConnectorTimeout
@@ -395,7 +413,7 @@ workflows:
 
   # Resources for the workflow worker only - these are sane inputs that bias towards stability
   # Can adjust but may see OOM errors if memory too low for heavy workflow load
-  # To make adjustments to workflows backend, use top level resources key.
+  # To make adjustments to workflows backend, use workflows.backend.resources key.
   resources:
     limits:
       cpu: 2000m

values.yaml

@@ -232,7 +232,7 @@ extraVolumeMounts: []
 
 extraVolumes: []
 
-# These resource specifications apply to the main backend and workflows backend pods.
+# These resource specifications will apply to the main backend, jobs-runner, dbconnector, and workflows-backend pods unless container specific resources are set.
 resources:
   # If you have more than 1 replica, the minimum recommended resources configuration is as follows:
   # - cpu: 2048m
@@ -300,6 +300,15 @@ jobRunner:
   # will already launch a job runner pod
   # enabled: true
 
+  # If necessary, specify the resources to provision the jobRunner pod separately from the main backend pods.
+  # resources:
+  #   limits:
+  #     cpu: 4096m
+  #     memory: 8192Mi
+  #   requests:
+  #     cpu: 2048m
+  #     memory: 4096Mi
+
   # Annotations for job runner pods
   annotations: {}
 
@@ -340,6 +349,15 @@ workflows:
     # will launch 9 pods -- 4 workflow backend, 1 workflow workers, and 4 for temporal cluster
     replicaCount: 1
 
+    # If necessary, specify the resources to provision the workflows-backend pod separately from the main backend pods.
+    # resources:
+    #   limits:
+    #     cpu: 4096m
+    #     memory: 8192Mi
+    #   requests:
+    #     cpu: 2048m
+    #     memory: 4096Mi
+
   # Timeout for queries, in ms. This will set the timeout for workflows-related pods only
   # If this value is not set but config.dbConnectorTimeout is, we will set workflows pod timeouts
   # to .Values.config.dbConnectorTimeout
@@ -395,7 +413,7 @@ workflows:
 
   # Resources for the workflow worker only - these are sane inputs that bias towards stability
   # Can adjust but may see OOM errors if memory too low for heavy workflow load
-  # To make adjustments to workflows backend, use top level resources key.
+  # To make adjustments to workflows backend, use workflows.backend.resources key.
   resources:
     limits:
       cpu: 2000m