Ceil load values for scaling in recording rule

The load used to be sealed by the autoscaler when it queried the load metric. To support custom load recording rules that do not need to be ceiled ceiling is now done on the individual recording rules that need it. Signed-off-by: Han Verstraete (OpenFaaS Ltd) <[email protected]>
VolodiaPG · Aug 21, 2024 · 3393190 · 3393190
1 parent 8c87ae4
commit 3393190
Showing 1 changed file with 4 additions and 4 deletions.
diff --git a/chart/openfaas/templates/prometheus-pro-cfg.yaml b/chart/openfaas/templates/prometheus-pro-cfg.yaml
@@ -170,7 +170,7 @@ data:
             target_label: __metrics_path__
           - source_labels: [__meta_kubernetes_namespace]
             action: replace
-            target_label: kubernetes_namespace
+            target_label: kubernetes_namespacev
           - source_labels: [__meta_kubernetes_pod_name]
             action: replace
             target_label: kubernetes_pod_name
@@ -193,17 +193,17 @@ data:
     - name: load
       rules:
       - record: job:function_current_load:sum
-        expr: sum by (function_name) ( rate( gateway_function_invocation_total{}[30s] ) )  and avg by (function_name) (gateway_service_target_load{scaling_type="rps"}) > 1
+        expr: ceil(sum by (function_name) ( rate( gateway_function_invocation_total{}[30s] ) )  and avg by (function_name) (gateway_service_target_load{scaling_type="rps"}) > 1)
         labels:
           scaling_type: rps
 
       - record: job:function_current_load:sum
-        expr: sum by (function_name) ( max_over_time( gateway_function_invocation_inflight[45s:5s])) and on (function_name) avg by(function_name) (gateway_service_target_load{scaling_type="capacity"}) > bool 1
+        expr: ceil(sum by (function_name) ( max_over_time( gateway_function_invocation_inflight[45s:5s])) and on (function_name) avg by(function_name) (gateway_service_target_load{scaling_type="capacity"}) > bool 1)
         labels:
           scaling_type: capacity
 
       - record: job:function_current_load:sum
-        expr: sum(irate ( pod_cpu_usage_seconds_total{}[1m])*1000) by (function_name) * on (function_name) avg by (function_name) (gateway_service_target_load{scaling_type="cpu"}  > bool 1 )
+        expr: ceil(sum(irate ( pod_cpu_usage_seconds_total{}[1m])*1000) by (function_name) * on (function_name) avg by (function_name) (gateway_service_target_load{scaling_type="cpu"}  > bool 1 ))
         labels:
           scaling_type: cpu