A few samples of Prometheus queries in Grafana dashboards.
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"editorMode": "code",
"expr": "sum(increase(kubecost_pod_network_egress_bytes_total{exported_namespace=\"$ns\", internet=~\"$internet\", pod_name=~\"$pod_or_service\"}[$__rate_interval])) by (pod_name)",
"legendFormat": "egress {{pod_name}}",
"range": true,
"refId": "A"
}{
"datasource": {
"type": "prometheus",
"uid": "grafanacloud-prom"
},
"editorMode": "code",
"expr": "count(count(node_cpu_seconds_total{instance=\"$node\",job=\"$job\"}) by (cpu))",
"legendFormat": "__auto",
"range": true,
"refId": "A",
"_panel": {
"id": 14,
"title": "CPU Cores",
"type": "stat",
"datasource": {
"type": "prometheus",
"uid": "grafanacloud-prom"
}
}
},{
"datasource": "grafanacloud-play-prom",
"exemplar": false,
"expr": "100*(\n 1 - (\n sum by (probe, geohash)\n (\n rate(probe_all_success_sum{instance=\"$instance\", job=\"$job\"}[$__range])\n *\n on (instance, job, probe, config_version)\n group_left(geohash)\n max by (instance, job, probe, config_version, geohash)\n (\n sm_check_info{instance=\"$instance\", job=\"$job\"}\n )\n )\n /\n sum by (probe, geohash)\n (\n rate(probe_all_success_count{instance=\"$instance\", job=\"$job\"}[$__range])\n *\n on (instance, job, probe, config_version)\n group_left(geohash)\n max by (instance, job, probe, config_version, geohash)\n (\n sm_check_info{instance=\"$instance\", job=\"$job\"}\n )\n )\n )\n)",
"format": "table",
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "A",
"_panel": {
"id": 34,
"title": "Error rate by probe",
"type": "geomap",
"datasource": "grafanacloud-play-prom"
}
},{
"expr": "sum(rate(probe_all_duration_seconds_sum{probe=~\"$probe\", instance=\"$instance\", job=\"$job\"}[$__range])) / sum(rate(probe_all_duration_seconds_count{probe=~\"$probe\", instance=\"$instance\", job=\"$job\"}[$__range]))",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "B",
"_panel": {
"id": 40,
"title": "Average latency",
"type": "stat",
"datasource": "grafanacloud-play-prom"
}
},{
"exemplar": true,
"expr": "node_load1{job=\"node\", instance=~\"$nodxdvfsdve:.*\"} / count by(job, instance)(count by(job, instance, cpu)(node_cpu_seconds_total{job=\"node\", instance=~\"$node:.*\"}))",
"format": "time_series",
"interval": "",
"intervalFactor": 2,
"legendFormat": "",
"refId": "A",
"step": 60,
"_panel": {
"id": 2,
"title": "Load",
"type": "gauge",
"datasource": "demo.robustperception.io"
}
}