"datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_workload_namespace=~\"$namespace\",destination_workload=~\"$workload\",response_code!~\"5.*\"}[5m])) / sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_workload_namespace=~\"$namespace\",destination_workload=~\"$workload\"}[5m]))",

          "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,

essgateway","refId":"A"},{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"(sum(irate(container_cpu_usage_seconds_total{namespace!=\"istio-system\",container=\"istio-proxy\"}[1m]))/ (round(sum(irate(istio_requests_total[1m])), 0.001)/1000))/ (sum(irate(istio_requests_total{source_workload=\"istio-ingressgateway\"}[1m])) >bool 10)","format":"time_series","intervalFactor":1,"legendFormat":"istio-proxy","refId":"B"}],"title":"vCPU / 1k rps","type":"timeseries"},{"datasource":{"type"...

          'Bytes ({{pod}})',
          |||
            sum by (pod) (
              rate(
                go_memstats_alloc_bytes_total{%(appLabels)s}
              [$__rate_interval])
            )
          |||
        ),
        self.query(
          'Objects ({{pod}})',
          |||
            sum by (pod) (
              rate(
                go_memstats_mallocs_total{%(appLabels)s}
              [$__rate_interval])

          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "(sum(irate(container_cpu_usage_seconds_total{namespace!=\"istio-system\",container=\"istio-proxy\"}[1m]))/ (round(sum(irate(istio_requests_total[1m])), 0.001)/1000))/ (sum(irate(istio_requests_total{source_workload=\"istio-ingressgateway\"}[1m])) >bool 10)",
          "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":...

               "expr": "sum by (pod) (\n  rate(\n    go_memstats_alloc_bytes_total{app=\"istiod\"}\n  [$__rate_interval])\n)",
               "legendFormat": "Bytes ({{pod}})"
            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

               "expr": "sum by (pod) (\n  rate(\n    istio_tcp_connections_opened_total{pod=~\"ztunnel-.*\"}\n  [$__rate_interval])\n)",
               "legendFormat": "Opened ({{pod}})"
            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

            "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
        }
      ],
      "title": "Global Success Rate (non-5xx responses)",
      "type": "stat"
    },
    {

# This example shows how to use Istio local rate limiting with descriptors to limit by path. 
# This uses the base book-info demo and adds rate limiting by path, specifically rate limiting the product page
# to 10 requests per minute, and the overall fdqn will be able to accept 100 requests per minute. 
apiVersion: networking.istio.io/v1alpha3
kind: EnvoyFilter
metadata:
  name: filter-local-ratelimit-svc
  namespace: istio-system
spec:
  workloadSelector: