scripts/render_dashboards.py

@@ -82,6 +82,9 @@ WORKER_SUFFIX = f"/{WORKER_TOTAL}"
 CP_ALLOWED_NS = "kube-system|kube-public|kube-node-lease|longhorn-system|monitoring|flux-system"
 LONGHORN_NODE_REGEX = "titan-1[2-9]|titan-2[24]"
 GAUGE_WIDTHS = [5, 5, 5, 5, 4]
+CONTROL_WORKLOADS_EXPR = (
+    f'sum(kube_pod_info{{node=~"{CONTROL_REGEX}",namespace!~"{CP_ALLOWED_NS}"}}) or on() vector(0)'
+)
 
 # ---------------------------------------------------------------------------
 # PromQL helpers
@@ -168,7 +171,7 @@ def node_io_expr(scope=""):
 
 def namespace_share_expr(resource_expr):
     selected = f"( {resource_expr} ) and on(namespace) ( {NAMESPACE_TOP_FILTER} )"
-    total = f"clamp_min(sum( {resource_expr} ), 1)"
+    total = f"clamp_min(sum( {selected} ), 1)"
     return f"100 * ( {selected} ) / {total}"
 
 
@@ -282,8 +285,8 @@ NET_TOTAL_EXPR = NET_NODE_TX_PHYS
 NET_INGRESS_EXPR = NET_NODE_RX_PHYS
 NET_EGRESS_EXPR = NET_NODE_TX_PHYS
 NET_INTERNAL_EXPR = (
-    'sum(rate(container_network_receive_bytes_total{namespace!="traefik",pod!="",container!=""}[5m]) '
+    'sum(rate(container_network_receive_bytes_total{namespace!="traefik",pod!=""}[5m]) '
-    '+ rate(container_network_transmit_bytes_total{namespace!="traefik",pod!="",container!=""}[5m]))'
+    '+ rate(container_network_transmit_bytes_total{namespace!="traefik",pod!=""}[5m]))'
     ' or on() vector(0)'
 )
 
@@ -529,9 +532,9 @@ def build_overview():
         (
             3,
             "Control plane workloads",
-            f'sum(kube_pod_info{{node=~"{CONTROL_REGEX}",namespace!~"{CP_ALLOWED_NS}"}})',
+            CONTROL_WORKLOADS_EXPR,
             None,
-            1,
+            4,
             link_to("atlas-pods"),
         ),
         (
@@ -600,18 +603,31 @@ def build_overview():
                 ],
             }
         width, x = gauge_grid(idx)
-        panels.append(
+        if panel_id == 3:
-            gauge_panel(
+            panels.append(
-                panel_id,
+                stat_panel(
-                title,
+                    panel_id,
-                expr,
+                    title,
-                {"h": 5, "w": width, "x": x, "y": 0},
+                    expr,
-                min_value=min_value,
+                    {"h": 5, "w": width, "x": x, "y": 0},
-                max_value=max_value,
+                    thresholds=thresholds,
-                thresholds=thresholds,
+                    legend=None,
-                links=links,
+                    links=links,
+                )
+            )
+        else:
+            panels.append(
+                gauge_panel(
+                    panel_id,
+                    title,
+                    expr,
+                    {"h": 5, "w": width, "x": x, "y": 0},
+                    min_value=min_value,
+                    max_value=max_value,
+                    thresholds=thresholds,
+                    links=links,
+                )
             )
-        )
 
     hottest = [
         (7, "Hottest node: CPU", topk_with_node(node_cpu_expr()), "percent"),

services/monitoring/dashboards/atlas-network.json

@@ -140,7 +140,7 @@
       },
       "targets": [
         {
-          "expr": "sum(rate(container_network_receive_bytes_total{namespace!=\"traefik\",pod!=\"\",container!=\"\"}[5m]) + rate(container_network_transmit_bytes_total{namespace!=\"traefik\",pod!=\"\",container!=\"\"}[5m])) or on() vector(0)",
+          "expr": "sum(rate(container_network_receive_bytes_total{namespace!=\"traefik\",pod!=\"\"}[5m]) + rate(container_network_transmit_bytes_total{namespace!=\"traefik\",pod!=\"\"}[5m])) or on() vector(0)",
           "refId": "A"
         }
       ],

services/monitoring/dashboards/atlas-overview.json

@@ -123,7 +123,7 @@
     },
     {
       "id": 3,
-      "type": "gauge",
+      "type": "stat",
       "title": "Control plane workloads",
       "datasource": {
         "type": "prometheus",
@@ -137,14 +137,16 @@
       },
       "targets": [
         {
-          "expr": "sum(kube_pod_info{node=~\"titan-0a|titan-0b|titan-0c\",namespace!~\"kube-system|kube-public|kube-node-lease|longhorn-system|monitoring|flux-system\"})",
+          "expr": "sum(kube_pod_info{node=~\"titan-0a|titan-0b|titan-0c\",namespace!~\"kube-system|kube-public|kube-node-lease|longhorn-system|monitoring|flux-system\"}) or on() vector(0)",
           "refId": "A"
         }
       ],
       "fieldConfig": {
         "defaults": {
-          "min": 0,
+          "color": {
-          "max": 4,
+            "mode": "palette-classic"
+          },
+          "mappings": [],
           "thresholds": {
             "mode": "absolute",
             "steps": [
@@ -165,11 +167,18 @@
                 "value": 3
               }
             ]
+          },
+          "unit": "none",
+          "custom": {
+            "displayMode": "auto"
           }
         },
         "overrides": []
       },
       "options": {
+        "colorMode": "value",
+        "graphMode": "area",
+        "justifyMode": "center",
         "reduceOptions": {
           "calcs": [
             "lastNotNull"
@@ -177,9 +186,7 @@
           "fields": "",
           "values": false
         },
-        "orientation": "auto",
+        "textMode": "value"
-        "showThresholdMarkers": false,
-        "showThresholdLabels": false
       },
       "links": [
         {
@@ -901,7 +908,7 @@
       },
       "targets": [
         {
-          "expr": "100 * ( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ), 1)",
+          "expr": "100 * ( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ), 1)",
           "refId": "A",
           "legendFormat": "{{namespace}}"
         }
@@ -954,7 +961,7 @@
       },
       "targets": [
         {
-          "expr": "100 * ( ( (sum(DCGM_FI_DEV_GPU_UTIL{namespace!=\"\",pod!=\"\"}) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( (sum(DCGM_FI_DEV_GPU_UTIL{namespace!=\"\",pod!=\"\"}) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) ), 1)",
+          "expr": "100 * ( ( (sum(DCGM_FI_DEV_GPU_UTIL{namespace!=\"\",pod!=\"\"}) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( ( (sum(DCGM_FI_DEV_GPU_UTIL{namespace!=\"\",pod!=\"\"}) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ), 1)",
           "refId": "A",
           "legendFormat": "{{namespace}}"
         }
@@ -1007,7 +1014,7 @@
       },
       "targets": [
         {
-          "expr": "100 * ( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ), 1)",
+          "expr": "100 * ( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ), 1)",
           "refId": "A",
           "legendFormat": "{{namespace}}"
         }
@@ -1316,7 +1323,7 @@
       },
       "targets": [
         {
-          "expr": "sum(rate(container_network_receive_bytes_total{namespace!=\"traefik\",pod!=\"\",container!=\"\"}[5m]) + rate(container_network_transmit_bytes_total{namespace!=\"traefik\",pod!=\"\",container!=\"\"}[5m])) or on() vector(0)",
+          "expr": "sum(rate(container_network_receive_bytes_total{namespace!=\"traefik\",pod!=\"\"}[5m]) + rate(container_network_transmit_bytes_total{namespace!=\"traefik\",pod!=\"\"}[5m])) or on() vector(0)",
           "refId": "A",
           "legendFormat": "Internal traffic"
         }

services/monitoring/grafana-dashboard-network.yaml

@@ -149,7 +149,7 @@ data:
           },
           "targets": [
             {
-              "expr": "sum(rate(container_network_receive_bytes_total{namespace!=\"traefik\",pod!=\"\",container!=\"\"}[5m]) + rate(container_network_transmit_bytes_total{namespace!=\"traefik\",pod!=\"\",container!=\"\"}[5m])) or on() vector(0)",
+              "expr": "sum(rate(container_network_receive_bytes_total{namespace!=\"traefik\",pod!=\"\"}[5m]) + rate(container_network_transmit_bytes_total{namespace!=\"traefik\",pod!=\"\"}[5m])) or on() vector(0)",
               "refId": "A"
             }
           ],

services/monitoring/grafana-dashboard-overview.yaml

@@ -132,7 +132,7 @@ data:
         },
         {
           "id": 3,
-          "type": "gauge",
+          "type": "stat",
           "title": "Control plane workloads",
           "datasource": {
             "type": "prometheus",
@@ -146,14 +146,16 @@ data:
           },
           "targets": [
             {
-              "expr": "sum(kube_pod_info{node=~\"titan-0a|titan-0b|titan-0c\",namespace!~\"kube-system|kube-public|kube-node-lease|longhorn-system|monitoring|flux-system\"})",
+              "expr": "sum(kube_pod_info{node=~\"titan-0a|titan-0b|titan-0c\",namespace!~\"kube-system|kube-public|kube-node-lease|longhorn-system|monitoring|flux-system\"}) or on() vector(0)",
               "refId": "A"
             }
           ],
           "fieldConfig": {
             "defaults": {
-              "min": 0,
+              "color": {
-              "max": 4,
+                "mode": "palette-classic"
+              },
+              "mappings": [],
               "thresholds": {
                 "mode": "absolute",
                 "steps": [
@@ -174,11 +176,18 @@ data:
                     "value": 3
                   }
                 ]
+              },
+              "unit": "none",
+              "custom": {
+                "displayMode": "auto"
               }
             },
             "overrides": []
           },
           "options": {
+            "colorMode": "value",
+            "graphMode": "area",
+            "justifyMode": "center",
             "reduceOptions": {
               "calcs": [
                 "lastNotNull"
@@ -186,9 +195,7 @@ data:
               "fields": "",
               "values": false
             },
-            "orientation": "auto",
+            "textMode": "value"
-            "showThresholdMarkers": false,
-            "showThresholdLabels": false
           },
           "links": [
             {
@@ -910,7 +917,7 @@ data:
           },
           "targets": [
             {
-              "expr": "100 * ( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ), 1)",
+              "expr": "100 * ( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ), 1)",
               "refId": "A",
               "legendFormat": "{{namespace}}"
             }
@@ -963,7 +970,7 @@ data:
           },
           "targets": [
             {
-              "expr": "100 * ( ( (sum(DCGM_FI_DEV_GPU_UTIL{namespace!=\"\",pod!=\"\"}) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( (sum(DCGM_FI_DEV_GPU_UTIL{namespace!=\"\",pod!=\"\"}) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) ), 1)",
+              "expr": "100 * ( ( (sum(DCGM_FI_DEV_GPU_UTIL{namespace!=\"\",pod!=\"\"}) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( ( (sum(DCGM_FI_DEV_GPU_UTIL{namespace!=\"\",pod!=\"\"}) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ), 1)",
               "refId": "A",
               "legendFormat": "{{namespace}}"
             }
@@ -1016,7 +1023,7 @@ data:
           },
           "targets": [
             {
-              "expr": "100 * ( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ), 1)",
+              "expr": "100 * ( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ) / clamp_min(sum( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( (topk(10, ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + ((sum((kube_pod_container_resource_requests{namespace!=\"\",resource=\"nvidia.com/gpu\"} or kube_pod_container_resource_limits{namespace!=\"\",resource=\"nvidia.com/gpu\"})) by (namespace)) or on(namespace) (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) * 0) * 100)) >= bool 0) ) ), 1)",
               "refId": "A",
               "legendFormat": "{{namespace}}"
             }
@@ -1325,7 +1332,7 @@ data:
           },
           "targets": [
             {
-              "expr": "sum(rate(container_network_receive_bytes_total{namespace!=\"traefik\",pod!=\"\",container!=\"\"}[5m]) + rate(container_network_transmit_bytes_total{namespace!=\"traefik\",pod!=\"\",container!=\"\"}[5m])) or on() vector(0)",
+              "expr": "sum(rate(container_network_receive_bytes_total{namespace!=\"traefik\",pod!=\"\"}[5m]) + rate(container_network_transmit_bytes_total{namespace!=\"traefik\",pod!=\"\"}[5m])) or on() vector(0)",
               "refId": "A",
               "legendFormat": "Internal traffic"
             }