jenkins: allow agents to fall back to rpi4

infrastructure/resource-guardrails/limitranges.yaml

@@ -132,6 +132,12 @@ items:
       name: atlas-default-compute
       namespace: outline
     spec: *defaultCompute
+  - apiVersion: v1
+    kind: LimitRange
+    metadata:
+      name: atlas-default-compute
+      namespace: openclaw
+    spec: *defaultCompute
   - apiVersion: v1
     kind: LimitRange
     metadata:

scripts/dashboards_render_atlas.py

@@ -339,10 +339,10 @@ def namespace_ram_share_expr(scope_var):
 
 
 def namespace_gpu_share_expr(scope_var):
-    usage = namespace_gpu_usage_instant(scope_var)
+    usage = f"max_over_time(({namespace_gpu_usage_instant(scope_var)})[$__range:$__interval])"
     total = f"(sum({usage}) or on() vector(0))"
     share = f"100 * ({usage}) / clamp_min({total}, 1)"
-    idle = 'label_replace(vector(100), "namespace", "idle", "", "") * scalar(' + total + " == bool 0)"
+    idle = 'label_replace(vector(100), "namespace", "idle", "", "") and on() (' + total + " == 0)"
     return f"({share}) or ({idle})"
 
 

services/jenkins/configmap-jcasc.yaml

@@ -524,7 +524,6 @@ data:
               yaml: |
                 spec:
                   nodeSelector:
-                    hardware: rpi5
                     kubernetes.io/arch: arm64
                     node-role.kubernetes.io/worker: "true"
                   affinity:
@@ -559,6 +558,13 @@ data:
                                 operator: In
                                 values:
                                   - rpi5
+                        - weight: 45
+                          preference:
+                            matchExpressions:
+                              - key: hardware
+                                operator: In
+                                values:
+                                  - rpi4
                   topologySpreadConstraints:
                     - maxSkew: 1
                       topologyKey: kubernetes.io/hostname

services/maintenance/ariadne-deployment.yaml

@@ -404,6 +404,8 @@ spec:
               value: "10"
             - name: ARIADNE_SCHEDULE_JENKINS_WORKSPACE_CLEANUP
               value: "45 */6 * * *"
+            - name: ARIADNE_SCHEDULE_TESTING_TRIAGE
+              value: "*/15 * * * *"
             - name: JENKINS_WORKSPACE_NAMESPACE
               value: jenkins
             - name: JENKINS_WORKSPACE_PVC_PREFIX

services/maintenance/ariadne-rbac.yaml

@@ -15,7 +15,18 @@ rules:
       - create
   - apiGroups: [""]
     resources:
+      - events
       - pods
+      - pods/log
+    verbs:
+      - get
+      - list
+      - watch
+  - apiGroups: ["apps"]
+    resources:
+      - daemonsets
+      - deployments
+      - statefulsets
     verbs:
       - get
       - list

services/monitoring/dashboards/atlas-gpu.json

@@ -20,7 +20,7 @@
       },
       "targets": [
         {
-          "expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
+          "expr": "(100 * (max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)) == 0))",
           "refId": "A",
           "legendFormat": "{{namespace}}"
         }

services/monitoring/dashboards/atlas-overview.json

@@ -3715,7 +3715,7 @@
       },
       "targets": [
         {
-          "expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
+          "expr": "(100 * (max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)) == 0))",
           "refId": "A",
           "legendFormat": "{{namespace}}"
         }

services/monitoring/grafana-dashboard-gpu.yaml

@@ -29,7 +29,7 @@ data:
           },
           "targets": [
             {
-              "expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
+              "expr": "(100 * (max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)) == 0))",
               "refId": "A",
               "legendFormat": "{{namespace}}"
             }

services/monitoring/grafana-dashboard-overview.yaml

@@ -3724,7 +3724,7 @@ data:
           },
           "targets": [
             {
-              "expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
+              "expr": "(100 * (max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) / clamp_min((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum(max_over_time((sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"}))))[$__range:$__interval])) or on() vector(0)) == 0))",
               "refId": "A",
               "legendFormat": "{{namespace}}"
             }

services/openclaw/configmap.yaml

@@ -86,6 +86,17 @@ data:
     You are OpenClaw running inside the Titan Kubernetes cluster as a read-only
     testing and operations triage assistant.
 
+    Ariadne owns deterministic evidence collection. Start every testing triage
+    by reading:
+
+    - `curl -sS "$ARIADNE_BASE_URL/api/internal/testing/triage/latest"`
+    - if that is missing or stale, ask a human to run:
+      `curl -sS -X POST "$ARIADNE_BASE_URL/api/internal/testing/triage/collect"`
+
+    Treat the Ariadne bundle as the source of truth. Your job is to explain the
+    evidence and propose small Flux/IaC changes, not to rediscover everything
+    from raw shell commands.
+
     Your job is to explain failing or suspicious test runs without mutating the
     cluster. Prefer concise incident summaries with:
 
@@ -97,6 +108,7 @@ data:
 
     Useful read-only commands:
 
+    - `curl -sS "$ARIADNE_BASE_URL/api/internal/testing/triage/latest"`
     - `kubectl get nodes -o wide`
     - `kubectl get pods -A -o wide`
     - `kubectl get pods -A --field-selector status.phase!=Running,status.phase!=Succeeded -o wide`

services/openclaw/deployment.yaml

@@ -22,7 +22,7 @@ spec:
         ai.bstein.dev/model: qwen2.5:7b-instruct-q4_0
         ai.bstein.dev/instructions: kubectl-field-selectors
         ai.bstein.dev/role: testing-triage
-        ai.bstein.dev/placement: gateway lane (titan-20)
+        ai.bstein.dev/placement: arm64 gateway lane (jetson preferred)
     spec:
       serviceAccountName: openclaw-triage
       automountServiceAccountToken: true
@@ -35,10 +35,41 @@ spec:
           requiredDuringSchedulingIgnoredDuringExecution:
             nodeSelectorTerms:
               - matchExpressions:
-                  - key: kubernetes.io/hostname
+                  - key: kubernetes.io/arch
                     operator: In
                     values:
-                      - titan-20
+                      - arm64
+                  - key: node-role.kubernetes.io/worker
+                    operator: In
+                    values:
+                      - "true"
+          preferredDuringSchedulingIgnoredDuringExecution:
+            - weight: 100
+              preference:
+                matchExpressions:
+                  - key: atlas.bstein.dev/spillover
+                    operator: DoesNotExist
+            - weight: 95
+              preference:
+                matchExpressions:
+                  - key: jetson
+                    operator: In
+                    values:
+                      - "true"
+            - weight: 70
+              preference:
+                matchExpressions:
+                  - key: hardware
+                    operator: In
+                    values:
+                      - rpi5
+            - weight: 35
+              preference:
+                matchExpressions:
+                  - key: hardware
+                    operator: In
+                    values:
+                      - rpi4
       initContainers:
         - name: init-permissions
           image: busybox:1.37
@@ -136,6 +167,8 @@ spec:
               value: /home/node/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
             - name: VICTORIA_METRICS_URL
               value: http://victoria-metrics-single-server.monitoring.svc.cluster.local:8428
+            - name: ARIADNE_BASE_URL
+              value: http://ariadne.maintenance.svc.cluster.local
             - name: JENKINS_BASE_URL
               value: http://jenkins.jenkins.svc.cluster.local:8080
             - name: GITEA_BASE_URL