Istio Automation <******@****.***> 1714576974 -0700

*.pb.go linguist-generated=true
*.gen.go linguist-generated=true
*.gen.yaml linguist-generated=true
*.gen.json linguist-generated=true
*_pb2.py linguist-generated=true
manifests/charts/**/profile*.yaml linguist-generated=true
go.sum merge=union
vendor/**  linguist-vendored
common/**  linguist-vendored
archive/**  linquist-vendored

              "format": "time_series",
              "intervalFactor": 1,
              "legendFormat": "Routes",
              "refId": "E"
            },
            {
              "datasource": {
                "type": "prometheus",
                "uid": "${datasource}"
              },
              "expr": "sum(irate(pilot_xds_pushes{type=\"sds\"}[1m]))",

	mockProm := mockPromAPI{
		cannedResponse: map[string]prometheus_model.Value{
			"sum(rate(istio_requests_total{destination_workload=~\"details.*\", destination_workload_namespace=~\".*\",reporter=\"destination\"}[1m0s]))": prometheus_model.Vector{ // nolint: lll
				&prometheus_model.Sample{Value: 0.04},
			},

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "sum(rate(istio_requests_total{reporter=\"source\", response_code!~\"5.*\"}[1m])) / sum(rate(istio_requests_total{reporter=\"source\"}[1m]))",
          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A",
          "step": 4
        }

  // most preferred is the one with the greatest sum of weights, i.e.
  // for each node that meets all of the scheduling requirements (resource
  // request, requiredDuringScheduling affinity expressions, etc.),
  // compute a sum by iterating through the elements of this field and adding
  // "weight" to the sum if the node matches the corresponding matchExpressions; the
  // node(s) with the highest sum are the most preferred.
  // +optional

        },
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "sum(irate(istio_response_bytes_sum{source_workload_namespace!=\"istio-system\", reporter=\"source\"}[1m])) + sum(irate(istio_request_bytes_sum{source_workload_namespace!=\"istio-system\", reporter=\"source\"}[1m]))",
          "format": "time_series",
          "intervalFactor": 1,

          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "editorMode": "code",
          "expr": "sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_service=~\"$service\",response_code!~\"5.*\"}[5m])) / (sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_service=~\"$service\"}[5m])) or on () vector(1))",
          "format": "time_series",
          "intervalFactor": 1,

"seriesOverrides": [], "spaceLength": 10, "stack": true, "steppedLine": false, "targets": [ { "expr": "sum(irate(pilot_xds_pushes{type=\"cds\"}[1m]))", "format": "time_series", "intervalFactor": 1, "legendFormat": "Cluster", "refId": "C" }, { "expr": "sum(irate(pilot_xds_pushes{type=\"eds\"}[1m]))", "format": "time_series", "intervalFactor": 1, "legendFormat": "Endpoints", "refId": "D" }, { "expr": "sum(irate(pilot_xds_pushes{type=\"lds\"}[1m]))", "format": "time_series", "intervalFactor": 1, "legendFormat":...

  // The server's concurrency limit (ServerCL) is divided among the
  // Limited priority levels in proportion to their NCS values:
  //
  // NominalCL(i)  = ceil( ServerCL * NCS(i) / sum_ncs )
  // sum_ncs = sum[limited priority level k] NCS(k)
  //
  // Bigger numbers mean a larger nominal concurrency limit,
  // at the expense of every other Limited priority level.
  // This field has a default value of 30.