monitoring.yaml

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

apiVersion: v1
kind: Namespace
metadata:
  name: benchmarking
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: prometheus
  namespace: benchmarking
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: prometheus
  namespace: benchmarking
rules:
- apiGroups: [""]
  resources: ["nodes", "nodes/proxy", "services", "endpoints", "pods"]
  verbs: ["get", "list", "watch"]
- apiGroups: ["extensions", "networking.k8s.io"]
  resources: ["ingresses"]
  verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: prometheus
  namespace: benchmarking
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: prometheus
subjects:
- kind: ServiceAccount
  name: prometheus
  namespace: benchmarking
---
# A node is a cluster-scoped resource. Thus the namespaced Role above cannot
# give access to node discovery or to the kubelet proxy. The cadvisor scrape
# job needs the two permissions.
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: prometheus-benchmarking-nodes
rules:
- apiGroups: [""]
  resources: ["nodes", "nodes/proxy", "nodes/metrics"]
  verbs: ["get", "list", "watch"]
- nonResourceURLs: ["/metrics"]
  verbs: ["get"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: prometheus-benchmarking-nodes
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: prometheus-benchmarking-nodes
subjects:
- kind: ServiceAccount
  name: prometheus
  namespace: benchmarking
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
  namespace: benchmarking
data:
  prometheus.yml: |
    global:
      scrape_interval: 10s
    scrape_configs:
      - job_name: 'kubernetes-pods'
        kubernetes_sd_configs:
          - role: pod
            namespaces:
              names:
                - benchmarking
        relabel_configs:
          - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]
            action: keep
            regex: "true"
          - source_labels: [__meta_kubernetes_pod_name]
            action: replace
            target_label: pod
          - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]
            action: replace
            target_label: __metrics_path__
            regex: (.+)
          - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]
            action: replace
            regex: ([^:]+)(?::\d+)?;(\d+)
            replacement: $1:$2
            target_label: __address__

      # The telemetry-meter gives its substrate_* counts on port 8889, which
      # the annotation job above collects. It gives its own otelcol_* counters
      # on port 8888. The annotation relabel can name only one port, thus
      # scrape port 8888 here. When a service reports zero volume,
      # otelcol_receiver_accepted_* shows the difference between "sent nothing"
      # and "arrived nowhere".
      - job_name: 'telemetry-meter-self'
        kubernetes_sd_configs:
          - role: pod
            namespaces:
              names:
                - benchmarking
        relabel_configs:
          - source_labels:
              - __meta_kubernetes_pod_label_app
              - __meta_kubernetes_pod_container_port_number
            action: keep
            regex: telemetry-meter;8888
          - source_labels: [__meta_kubernetes_pod_name]
            action: replace
            target_label: pod

      # The container memory directly from the cAdvisor endpoint of the
      # kubelet. `kubectl top` reads metrics-server, which reports an average
      # across its own window and hides short peaks.
      # container_memory_working_set_bytes is the value that the OOM killer
      # uses.
      - job_name: 'kubernetes-cadvisor'
        scheme: https
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
          insecure_skip_verify: true
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
          - role: node
        relabel_configs:
          - action: labelmap
            regex: __meta_kubernetes_node_label_(.+)
          - target_label: __address__
            replacement: kubernetes.default.svc:443
          - source_labels: [__meta_kubernetes_node_name]
            regex: (.+)
            target_label: __metrics_path__
            replacement: /api/v1/nodes/$1/proxy/metrics/cadvisor
        metric_relabel_configs:
          # cAdvisor sends a very large number of metrics. Keep only the
          # metrics that the benchmarks read.
          - source_labels: [__name__]
            action: keep
            regex: container_(memory_working_set_bytes|cpu_usage_seconds_total|spec_memory_limit_bytes)
          # Drop the series that have an empty container label, not the label
          # itself. cAdvisor gives a rollup for the whole pod cgroup next to
          # the series for each container. Keeping both counts the memory of
          # each pod two times.
          - source_labels: [container]
            action: drop
            regex: ""
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: prometheus
  namespace: benchmarking
  labels:
    app: prometheus
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prometheus
  template:
    metadata:
      labels:
        app: prometheus
    spec:
      serviceAccountName: prometheus
      containers:
      - name: prometheus
        image: prom/prometheus:v2.45.0
        args:
          - "--config.file=/etc/prometheus/prometheus.yml"
          - "--storage.tsdb.path=/prometheus/"
        ports:
        - containerPort: 9090
        volumeMounts:
        - name: config-volume
          mountPath: /etc/prometheus/
      volumes:
      - name: config-volume
        configMap:
          name: prometheus-config
---
apiVersion: v1
kind: Service
metadata:
  name: prometheus
  namespace: benchmarking
spec:
  selector:
    app: prometheus
  ports:
    - protocol: TCP
      port: 9090
      targetPort: 9090
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: grafana-datasources
  namespace: benchmarking
data:
  prometheus.yaml: |-
    apiVersion: 1
    datasources:
    - name: Prometheus
      type: prometheus
      url: http://prometheus:9090
      access: proxy
      isDefault: true
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: grafana-dashboards-provider
  namespace: benchmarking
data:
  provider.yaml: |-
    apiVersion: 1
    providers:
    - name: 'default'
      orgId: 1
      folder: 'Locust'
      type: file
      disableDeletion: false
      updateIntervalSeconds: 10
      editable: true
      options:
        path: /var/lib/grafana/dashboards
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: grafana-dashboards
  namespace: benchmarking
data:
  locust-dashboard.json: |-
    {
      "uid": "locust-load-test-dashboard",
      "title": "ATE API",
      "panels": [
        {
          "title": "GetActor QPS",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
          "targets": [
            { "expr": "sum(rate(locust_requests_total_total{name=\"GetActor\", user_class=\"AteAPIUser\"}[1m])) or sum(rate(locust_requests_total{name=\"GetActor\", user_class=\"AteAPIUser\"}[1m]))", "refId": "A", "legendFormat": "Total" },
            { "expr": "sum(rate(locust_requests_total_total{name=\"GetActor\", user_class=\"AteAPIUser\"}[1m])) by (status) or sum(rate(locust_requests_total{name=\"GetActor\", user_class=\"AteAPIUser\"}[1m])) by (status)", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "req/sec" } }
        },
        {
          "title": "GetActor Latency 99th Pct",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 },
          "targets": [
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"GetActor\", user_class=\"AteAPIUser\"}[1m])) by (le))", "refId": "A", "legendFormat": "Total" },
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"GetActor\", user_class=\"AteAPIUser\"}[1m])) by (le, status))", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "ms" } }
        },
        {
          "title": "GetActor Latency Heatmap",
          "type": "heatmap",
          "gridPos": { "h": 8, "w": 24, "x": 0, "y": 8 },
          "targets": [
            {
              "expr": "sum(rate(locust_request_duration_milliseconds_bucket{name=\"GetActor\", user_class=\"AteAPIUser\"}[1m])) by (le)",
              "refId": "A"
            }
          ],

          "transformations": [
            {
              "id": "labelsToFields",
              "options": {
                "valueLabel": "le"
              }
            }
          ],
          "options": {
            "calculate": false,
            "yAxis": {
              "unit": "ms"
            }
          }
        },
        {
          "title": "ResumeActor QPS",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 0, "y": 16 },
          "targets": [
            { "expr": "sum(rate(locust_requests_total_total{name=\"ResumeActor\", user_class=\"AteAPIUser\"}[1m])) or sum(rate(locust_requests_total{name=\"ResumeActor\", user_class=\"AteAPIUser\"}[1m]))", "refId": "A", "legendFormat": "Total" },
            { "expr": "sum(rate(locust_requests_total_total{name=\"ResumeActor\", user_class=\"AteAPIUser\"}[1m])) by (status) or sum(rate(locust_requests_total{name=\"ResumeActor\", user_class=\"AteAPIUser\"}[1m])) by (status)", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "req/sec" } }
        },
        {
          "title": "ResumeActor Latency 99th Pct",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 12, "y": 16 },
          "targets": [
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"ResumeActor\", user_class=\"AteAPIUser\"}[1m])) by (le))", "refId": "A", "legendFormat": "Total" },
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"ResumeActor\", user_class=\"AteAPIUser\"}[1m])) by (le, status))", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "ms" } }
        },
        {
          "title": "ResumeActor Latency Heatmap",
          "type": "heatmap",
          "gridPos": { "h": 8, "w": 24, "x": 0, "y": 24 },
          "targets": [
            {
              "expr": "sum(rate(locust_request_duration_milliseconds_bucket{name=\"ResumeActor\", user_class=\"AteAPIUser\"}[1m])) by (le)",
              "refId": "A"
            }
          ],

          "transformations": [
            {
              "id": "labelsToFields",
              "options": {
                "valueLabel": "le"
              }
            }
          ],
          "options": {
            "calculate": false,
            "yAxis": {
              "unit": "ms"
            }
          }
        },
        {
          "title": "SuspendActor QPS",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 0, "y": 32 },
          "targets": [
            { "expr": "sum(rate(locust_requests_total_total{name=\"SuspendActor\", user_class=\"AteAPIUser\"}[1m])) or sum(rate(locust_requests_total{name=\"SuspendActor\", user_class=\"AteAPIUser\"}[1m]))", "refId": "A", "legendFormat": "Total" },
            { "expr": "sum(rate(locust_requests_total_total{name=\"SuspendActor\", user_class=\"AteAPIUser\"}[1m])) by (status) or sum(rate(locust_requests_total{name=\"SuspendActor\", user_class=\"AteAPIUser\"}[1m])) by (status)", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "req/sec" } }
        },
        {
          "title": "SuspendActor Latency 99th Pct",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 12, "y": 32 },
          "targets": [
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"SuspendActor\", user_class=\"AteAPIUser\"}[1m])) by (le))", "refId": "A", "legendFormat": "Total" },
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"SuspendActor\", user_class=\"AteAPIUser\"}[1m])) by (le, status))", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "ms" } }
        },
        {
          "title": "SuspendActor Latency Heatmap",
          "type": "heatmap",
          "gridPos": { "h": 8, "w": 24, "x": 0, "y": 40 },
          "targets": [
            {
              "expr": "sum(rate(locust_request_duration_milliseconds_bucket{name=\"SuspendActor\", user_class=\"AteAPIUser\"}[1m])) by (le)",
              "refId": "A"
            }
          ],

          "transformations": [
            {
              "id": "labelsToFields",
              "options": {
                "valueLabel": "le"
              }
            }
          ],
          "options": {
            "calculate": false,
            "yAxis": {
              "unit": "ms"
            }
          }
        },
        {
          "title": "Locust Requesters (Active Users)",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 24, "x": 0, "y": 48 },
          "targets": [
            { "expr": "sum(locust_users{user_class=\"AteAPIUser\"}) by (pod)", "refId": "A" }
          ]
        }
      ],

      "schemaVersion": 38,
      "version": 1
    }
  locust-counter-dashboard.json: |-
    {
      "uid": "locust-counter-demo-dashboard",
      "title": "Counter Demo",
      "panels": [
        {
          "title": "ResumeActor QPS",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
          "targets": [
            { "expr": "sum(rate(locust_requests_total_total{name=\"ResumeActor\", user_class=\"CounterUser\"}[1m])) or sum(rate(locust_requests_total{name=\"ResumeActor\", user_class=\"CounterUser\"}[1m]))", "refId": "A", "legendFormat": "Total" },
            { "expr": "sum(rate(locust_requests_total_total{name=\"ResumeActor\", user_class=\"CounterUser\"}[1m])) by (status) or sum(rate(locust_requests_total{name=\"ResumeActor\", user_class=\"CounterUser\"}[1m])) by (status)", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "req/sec" } }
        },
        {
          "title": "ResumeActor Latency 99th Pct",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 },
          "targets": [
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"ResumeActor\", user_class=\"CounterUser\"}[1m])) by (le))", "refId": "A", "legendFormat": "Total" },
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"ResumeActor\", user_class=\"CounterUser\"}[1m])) by (le, status))", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "ms" } }
        },
        {
          "title": "ResumeActor Latency Heatmap",
          "type": "heatmap",
          "gridPos": { "h": 8, "w": 24, "x": 0, "y": 8 },
          "targets": [
            {
              "expr": "sum(rate(locust_request_duration_milliseconds_bucket{name=\"ResumeActor\", user_class=\"CounterUser\"}[1m])) by (le)",
              "refId": "A"
            }
          ],
          "transformations": [
            {
              "id": "labelsToFields",
              "options": {
                "valueLabel": "le"
              }
            }
          ],
          "options": {
            "calculate": false,
            "yAxis": {
              "unit": "ms"
            }
          }
        },
        {
          "title": "RunCounter QPS",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 0, "y": 16 },
          "targets": [
            { "expr": "sum(rate(locust_requests_total_total{name=\"RunCounter\", user_class=\"CounterUser\"}[1m])) or sum(rate(locust_requests_total{name=\"RunCounter\", user_class=\"CounterUser\"}[1m]))", "refId": "A", "legendFormat": "Total" },
            { "expr": "sum(rate(locust_requests_total_total{name=\"RunCounter\", user_class=\"CounterUser\"}[1m])) by (status) or sum(rate(locust_requests_total{name=\"RunCounter\", user_class=\"CounterUser\"}[1m])) by (status)", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "req/sec" } }
        },
        {
          "title": "RunCounter Latency 99th Pct",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 12, "y": 16 },
          "targets": [
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"RunCounter\", user_class=\"CounterUser\"}[1m])) by (le))", "refId": "A", "legendFormat": "Total" },
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"RunCounter\", user_class=\"CounterUser\"}[1m])) by (le, status))", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "ms" } }
        },
        {
          "title": "RunCounter Latency Heatmap",
          "type": "heatmap",
          "gridPos": { "h": 8, "w": 24, "x": 0, "y": 24 },
          "targets": [
            {
              "expr": "sum(rate(locust_request_duration_milliseconds_bucket{name=\"RunCounter\", user_class=\"CounterUser\"}[1m])) by (le)",
              "refId": "A"
            }
          ],
          "transformations": [
            {
              "id": "labelsToFields",
              "options": {
                "valueLabel": "le"
              }
            }
          ],
          "options": {
            "calculate": false,
            "yAxis": {
              "unit": "ms"
            }
          }
        },
        {
          "title": "SuspendActor QPS",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 0, "y": 32 },
          "targets": [
            { "expr": "sum(rate(locust_requests_total_total{name=\"SuspendActor\", user_class=\"CounterUser\"}[1m])) or sum(rate(locust_requests_total{name=\"SuspendActor\", user_class=\"CounterUser\"}[1m]))", "refId": "A", "legendFormat": "Total" },
            { "expr": "sum(rate(locust_requests_total_total{name=\"SuspendActor\", user_class=\"CounterUser\"}[1m])) by (status) or sum(rate(locust_requests_total{name=\"SuspendActor\", user_class=\"CounterUser\"}[1m])) by (status)", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "req/sec" } }
        },
        {
          "title": "SuspendActor Latency 99th Pct",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 12, "y": 32 },
          "targets": [
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"SuspendActor\", user_class=\"CounterUser\"}[1m])) by (le))", "refId": "A", "legendFormat": "Total" },
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{name=\"SuspendActor\", user_class=\"CounterUser\"}[1m])) by (le, status))", "refId": "B", "legendFormat": "{{status}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "ms" } }
        },
        {
          "title": "SuspendActor Latency Heatmap",
          "type": "heatmap",
          "gridPos": { "h": 8, "w": 24, "x": 0, "y": 40 },
          "targets": [
            {
              "expr": "sum(rate(locust_request_duration_milliseconds_bucket{name=\"SuspendActor\", user_class=\"CounterUser\"}[1m])) by (le)",
              "refId": "A"
            }
          ],
          "transformations": [
            {
              "id": "labelsToFields",
              "options": {
                "valueLabel": "le"
              }
            }
          ],
          "options": {
            "calculate": false,
            "yAxis": {
              "unit": "ms"
            }
          }
        },
        {
          "title": "Locust Requesters (Active Users)",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 24, "x": 0, "y": 48 },
          "targets": [
            { "expr": "sum(locust_users{user_class=\"CounterUser\"}) by (pod)", "refId": "A" }
          ]
        }
      ],
      "schemaVersion": 38,
      "version": 1
    }
  locust-workloads-dashboard.json: |-
    {
      "uid": "locust-workloads-dashboard",
      "title": "Workloads Benchmarking",
      "panels": [
        {
          "title": "QPS by Workload",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
          "targets": [
            { "expr": "sum(rate(locust_requests_total_total{user_class=~\"SleepUser|UserMemUser|KernelMemUser\"}[1m])) by (user_class, name) or sum(rate(locust_requests_total{user_class=~\"SleepUser|UserMemUser|KernelMemUser\"}[1m])) by (user_class, name)", "refId": "A", "legendFormat": "{{user_class}} - {{name}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "req/sec" } }
        },
        {
          "title": "Latency 99th Pct by Workload",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 },
          "targets": [
            { "expr": "histogram_quantile(0.99, sum(rate(locust_request_duration_milliseconds_bucket{user_class=~\"SleepUser|UserMemUser|KernelMemUser\"}[1m])) by (le, user_class, name))", "refId": "A", "legendFormat": "{{user_class}} - {{name}}" }
          ],
          "fieldConfig": { "defaults": { "unit": "ms" } }
        },
        {
          "title": "Active Users by Workload",
          "type": "timeseries",
          "gridPos": { "h": 8, "w": 24, "x": 0, "y": 8 },
          "targets": [
            { "expr": "sum(locust_users{user_class=~\"SleepUser|UserMemUser|KernelMemUser\"}) by (user_class)", "refId": "A", "legendFormat": "{{user_class}}" }
          ]
        }
      ],
      "schemaVersion": 38,
      "version": 1
    }
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: grafana
  namespace: benchmarking
spec:
  replicas: 1
  selector:
    matchLabels:
      app: grafana
  template:
    metadata:
      labels:
        app: grafana
    spec:
      containers:
      - name: grafana
        image: grafana/grafana:10.0.0
        env:
        - name: GF_AUTH_ANONYMOUS_ENABLED
          value: "true"
        - name: GF_AUTH_ANONYMOUS_ORG_ROLE
          value: "Admin"
        - name: GF_AUTH_DISABLE_LOGIN_FORM
          value: "true"
        ports:
        - containerPort: 3000
        volumeMounts:
        - name: grafana-datasources
          mountPath: /etc/grafana/provisioning/datasources
        - name: grafana-dashboards-provider
          mountPath: /etc/grafana/provisioning/dashboards
        - name: grafana-dashboards
          mountPath: /var/lib/grafana/dashboards
      volumes:
      - name: grafana-datasources
        configMap:
          name: grafana-datasources
      - name: grafana-dashboards-provider
        configMap:
          name: grafana-dashboards-provider
      - name: grafana-dashboards
        configMap:
          name: grafana-dashboards
---
apiVersion: v1
kind: Service
metadata:
  name: grafana
  namespace: benchmarking
spec:
  selector:
    app: grafana
  ports:
    - protocol: TCP
      port: 3000
      targetPort: 3000