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Namespace-aware Grafana dashboards (#716) 

The Grafana dashboards key off of deployment, but had no awareness of
namespaces, causing incorrect metrics aggregation and display.

This change makes the Grafana dashboards key off of namespaces, and also
modifies the Grafana links in the Conduit dashboard to link to
namespace+deployment.

Fixes #704
Part of #420

Signed-off-by: Andrew Seigner <siggy@buoyant.io>
This commit is contained in:
Andrew Seigner 2018-04-06 15:37:53 -07:00 committed by GitHub
parent baa4d10c2f
commit b6bcdcc059
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 181 additions and 59 deletions
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70
grafana/dashboards/deployment.json
View File

@ -16,7 +16,7 @@
"gnetId": null,
"graphTooltip": 1,
"id": null,
"iteration": 1522197746099,
"iteration": 1523047156373,
"links": [],
"panels": [
{
@ -96,7 +96,7 @@
"tableColumn": "",
"targets": [
{
"expr": "sum(irate(request_total{deployment=\"$deployment\"}[20s]))",
"expr": "sum(irate(request_total{namespace=\"$namespace\", deployment=\"$deployment\", direction=\"inbound\"}[20s]))",
"format": "time_series",
"instant": false,
"intervalFactor": 1,
@ -180,7 +180,7 @@
"tableColumn": "",
"targets": [
{
"expr": "(sum(irate(response_total{status_code=\"200\", deployment=\"$deployment\"}[20s])) + sum(irate(response_total{grpc_status_code=\"0\", deployment=\"$deployment\"}[20s]))) / sum(irate(response_total{deployment=\"$deployment\"}[20s]))",
"expr": "sum(irate(response_total{classification=\"success\", namespace=\"$namespace\", deployment=\"$deployment\", direction=\"inbound\"}[20s])) / sum(irate(response_total{namespace=\"$namespace\", deployment=\"$deployment\", direction=\"inbound\"}[20s]))",
"format": "time_series",
"instant": false,
"intervalFactor": 1,
@ -264,7 +264,7 @@
"tableColumn": "",
"targets": [
{
"expr": "histogram_quantile(0.5, sum(rate(response_latency_ms_bucket{deployment=\"$deployment\"}[20s])) by (le))",
"expr": "histogram_quantile(0.5, sum(rate(response_latency_ms_bucket{namespace=\"$namespace\", deployment=\"$deployment\", direction=\"inbound\"}[20s])) by (le))",
"format": "time_series",
"instant": false,
"intervalFactor": 1,
@ -348,7 +348,7 @@
"tableColumn": "",
"targets": [
{
"expr": "histogram_quantile(0.95, sum(rate(response_latency_ms_bucket{deployment=\"$deployment\"}[20s])) by (le))",
"expr": "histogram_quantile(0.95, sum(rate(response_latency_ms_bucket{namespace=\"$namespace\", deployment=\"$deployment\", direction=\"inbound\"}[20s])) by (le))",
"format": "time_series",
"instant": false,
"intervalFactor": 1,
@ -432,7 +432,7 @@
"tableColumn": "",
"targets": [
{
"expr": "histogram_quantile(0.99, sum(rate(response_latency_ms_bucket{deployment=\"$deployment\"}[20s])) by (le))",
"expr": "histogram_quantile(0.99, sum(rate(response_latency_ms_bucket{namespace=\"$namespace\", deployment=\"$deployment\", direction=\"inbound\"}[20s])) by (le))",
"format": "time_series",
"instant": false,
"intervalFactor": 1,
@ -516,7 +516,7 @@
"tableColumn": "",
"targets": [
{
"expr": "count(request_total{dst_deployment=\"$deployment\"})",
"expr": "count(request_total{dst_namespace=\"$namespace\", dst_deployment=\"$deployment\", direction=\"outbound\"})",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "",
@ -598,7 +598,7 @@
"tableColumn": "",
"targets": [
{
"expr": "count(request_total{deployment=\"$deployment\", dst_deployment=~\"$outbound\"})",
"expr": "count(request_total{namespace=\"$namespace\", deployment=\"$deployment\", dst_deployment=~\"$outbound\", direction=\"outbound\"})",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "",
@ -656,7 +656,7 @@
"steppedLine": false,
"targets": [
{
"expr": "sum(irate(request_total{deployment=\"$deployment\", direction=\"inbound\"}[20s]))",
"expr": "sum(irate(request_total{namespace=\"$namespace\", deployment=\"$deployment\", direction=\"inbound\"}[20s]))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "inbound",
@ -736,7 +736,7 @@
"steppedLine": false,
"targets": [
{
"expr": "sum(irate(request_total{deployment=\"$deployment\", direction=\"outbound\"}[20s]))",
"expr": "sum(irate(request_total{namespace=\"$namespace\", deployment=\"$deployment\", direction=\"outbound\"}[20s]))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "outbound",
@ -809,7 +809,7 @@
"type": "row"
},
{
"content": "<div>\n <img src=\"https://conduit.io/favicon.png\" style=\"baseline; height:30px;\"/>&nbsp;\n <a href=\"./dashboard/db/conduit-deployment?var-deployment=$inbound\">\n <span style=\"font-size: 15px; border-image:none\">$inbound</span>\n </a>\n</div>",
"content": "<div>\n <img src=\"https://conduit.io/favicon.png\" style=\"baseline; height:30px;\"/>&nbsp;\n <span style=\"font-size: 15px; border-image:none\">$inbound</span>\n</div>",
"gridPos": {
"h": 2,
"w": 24,
@ -860,7 +860,7 @@
"steppedLine": false,
"targets": [
{
"expr": "sum(irate(request_total{deployment=\"$inbound\", dst_deployment=\"$deployment\"}[20s])) by (deployment)",
"expr": "sum(irate(request_total{deployment=\"$inbound\", dst_namespace=\"$namespace\", dst_deployment=\"$deployment\", direction=\"outbound\"}[20s])) by (deployment)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{deployment}}",
@ -940,7 +940,7 @@
"steppedLine": false,
"targets": [
{
"expr": "(sum(irate(response_total{grpc_status_code=\"0\", deployment=\"$inbound\", dst_deployment=\"$deployment\"}[20s])) by (deployment) +sum(irate(response_total{status_code=\"200\", deployment=\"$inbound\", dst_deployment=\"$deployment\"}[20s])) by (deployment)) / sum(irate(response_total{deployment=\"$inbound\", dst_deployment=\"$deployment\"}[20s])) by (deployment)",
"expr": "sum(irate(response_total{classification=\"success\", deployment=\"$inbound\", dst_namespace=\"$namespace\", dst_deployment=\"$deployment\", direction=\"outbound\"}[20s])) by (deployment) / sum(irate(response_total{deployment=\"$inbound\", dst_namespace=\"$namespace\", dst_deployment=\"$deployment\", direction=\"outbound\"}[20s])) by (deployment)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{deployment}}",
@ -1020,7 +1020,7 @@
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.5, sum(rate(response_latency_ms_bucket{deployment=\"$inbound\", dst_deployment=\"$deployment\"}[20s])) by (le, deployment))",
"expr": "histogram_quantile(0.5, sum(rate(response_latency_ms_bucket{deployment=\"$inbound\", dst_namespace=\"$namespace\", dst_deployment=\"$deployment\", direction=\"outbound\"}[20s])) by (le, deployment))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{deployment}} P50",
@ -1100,7 +1100,7 @@
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.95, sum(rate(response_latency_ms_bucket{deployment=\"$inbound\", dst_deployment=\"$deployment\"}[20s])) by (le, deployment))",
"expr": "histogram_quantile(0.95, sum(rate(response_latency_ms_bucket{deployment=\"$inbound\", dst_namespace=\"$namespace\", dst_deployment=\"$deployment\", direction=\"outbound\"}[20s])) by (le, deployment))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{deployment}} P95",
@ -1180,7 +1180,7 @@
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.99, sum(rate(response_latency_ms_bucket{deployment=\"$inbound\", dst_deployment=\"$deployment\"}[20s])) by (le, deployment))",
"expr": "histogram_quantile(0.99, sum(rate(response_latency_ms_bucket{deployment=\"$inbound\", dst_namespace=\"$namespace\", dst_deployment=\"$deployment\", direction=\"outbound\"}[20s])) by (le, deployment))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{deployment}} P99",
@ -1267,7 +1267,7 @@
"type": "row"
},
{
"content": "<div>\n <img src=\"https://conduit.io/favicon.png\" style=\"baseline; height:30px;\"/>&nbsp;\n <a href=\"./dashboard/db/conduit-deployment?var-deployment=$outbound\">\n <span style=\"font-size: 15px; border-image:none\">$outbound</span>\n </a>\n</div>",
"content": "<div>\n <img src=\"https://conduit.io/favicon.png\" style=\"baseline; height:30px;\"/>&nbsp;\n <span style=\"font-size: 15px; border-image:none\">$outbound</span>\n</div>",
"gridPos": {
"h": 2,
"w": 24,
@ -1318,7 +1318,7 @@
"steppedLine": false,
"targets": [
{
"expr": "sum(irate(request_total{deployment=\"$deployment\", dst_deployment=\"$outbound\"}[20s])) by (dst_deployment)",
"expr": "sum(irate(request_total{namespace=\"$namespace\", deployment=\"$deployment\", dst_deployment=\"$outbound\", direction=\"outbound\"}[20s])) by (dst_deployment)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{dst_deployment}}",
@ -1398,7 +1398,7 @@
"steppedLine": false,
"targets": [
{
"expr": "(sum(irate(response_total{status_code=\"200\", deployment=\"$deployment\", dst_deployment=\"$outbound\"}[20s])) by (dst_deployment) + sum(irate(response_total{grpc_status_code=\"0\", deployment=\"$deployment\", dst_deployment=\"$outbound\"}[20s])) by (dst_deployment)) / sum(irate(response_total{deployment=\"$deployment\", dst_deployment=\"$outbound\"}[20s])) by (dst_deployment)",
"expr": "sum(irate(response_total{classification=\"success\", namespace=\"$namespace\", deployment=\"$deployment\", dst_deployment=\"$outbound\", direction=\"outbound\"}[20s])) by (dst_deployment) / sum(irate(response_total{namespace=\"$namespace\", deployment=\"$deployment\", dst_deployment=\"$outbound\", direction=\"outbound\"}[20s])) by (dst_deployment)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{dst_deployment}}",
@ -1478,7 +1478,7 @@
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.5, sum(rate(response_latency_ms_bucket{deployment=\"$deployment\", dst_deployment=\"$outbound\"}[20s])) by (le, dst_deployment))",
"expr": "histogram_quantile(0.5, sum(rate(response_latency_ms_bucket{namespace=\"$namespace\", deployment=\"$deployment\", dst_deployment=\"$outbound\", direction=\"outbound\"}[20s])) by (le, dst_deployment))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{dst_deployment}} P50",
@ -1558,7 +1558,7 @@
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.95, sum(rate(response_latency_ms_bucket{deployment=\"$deployment\", dst_deployment=\"$outbound\"}[20s])) by (le, dst_deployment))",
"expr": "histogram_quantile(0.95, sum(rate(response_latency_ms_bucket{namespace=\"$namespace\", deployment=\"$deployment\", dst_deployment=\"$outbound\", direction=\"outbound\"}[20s])) by (le, dst_deployment))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{dst_deployment}} P95",
@ -1638,7 +1638,7 @@
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.99, sum(rate(response_latency_ms_bucket{deployment=\"$deployment\", dst_deployment=\"$outbound\"}[20s])) by (le, dst_deployment))",
"expr": "histogram_quantile(0.99, sum(rate(response_latency_ms_bucket{namespace=\"$namespace\", deployment=\"$deployment\", dst_deployment=\"$outbound\", direction=\"outbound\"}[20s])) by (le, dst_deployment))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{dst_deployment}} P99",
@ -1688,6 +1688,26 @@
"tags": [],
"templating": {
"list": [
{
"allValue": null,
"current": {},
"datasource": "prometheus",
"hide": 0,
"includeAll": false,
"label": "Namespace",
"multi": false,
"name": "namespace",
"options": [],
"query": "label_values(request_total{conduit_io_control_plane_component=\"\"}, namespace)",
"refresh": 2,
"regex": "",
"sort": 1,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": null,
"current": {},
@ -1698,7 +1718,7 @@
"multi": false,
"name": "deployment",
"options": [],
"query": "label_values(request_total{conduit_io_control_plane_component=\"\"}, deployment)",
"query": "label_values(request_total{namespace=\"$namespace\", conduit_io_control_plane_component=\"\"}, deployment)",
"refresh": 2,
"regex": "",
"sort": 1,
@ -1718,7 +1738,7 @@
"multi": false,
"name": "inbound",
"options": [],
"query": "label_values(request_total{dst_deployment=\"$deployment\"}, deployment)",
"query": "label_values(request_total{dst_namespace=\"$namespace\", dst_deployment=\"$deployment\"}, deployment)",
"refresh": 2,
"regex": "",
"sort": 1,
@ -1738,7 +1758,7 @@
"multi": false,
"name": "outbound",
"options": [],
"query": "label_values(request_total{deployment=\"$deployment\"}, dst_deployment)",
"query": "label_values(request_total{namespace=\"$namespace\", deployment=\"$deployment\"}, dst_deployment)",
"refresh": 2,
"regex": "",
"sort": 1,

158
grafana/dashboards/top-line.json
View File

@ -16,7 +16,7 @@
"gnetId": null,
"graphTooltip": 1,
"id": null,
"iteration": 1522434948953,
"iteration": 1523048893004,
"links": [],
"panels": [
{
@ -55,7 +55,7 @@
},
"gridPos": {
"h": 4,
"w": 8,
"w": 6,
"x": 0,
"y": 3
},
@ -97,7 +97,89 @@
"tableColumn": "",
"targets": [
{
"expr": "count(count(request_total{deployment=~\"$deployment\"}) by (deployment))",
"expr": "count(count(request_total{namespace=~\"$namespace\"}) by (namespace))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
}
],
"thresholds": "",
"title": "Namespaces Monitored",
"type": "singlestat",
"valueFontSize": "200%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "current"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": false,
"colors": [
"#d44a3a",
"rgba(237, 129, 40, 0.89)",
"#299c46"
],
"datasource": "prometheus",
"format": "none",
"gauge": {
"maxValue": 1,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 4,
"w": 6,
"x": 6,
"y": 3
},
"height": "",
"id": 86,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": true,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"tableColumn": "",
"targets": [
{
"expr": "count(count(request_total{namespace=~\"$namespace\"}) by (namespace, deployment))",
"format": "time_series",
"intervalFactor": 2,
"legendFormat": "",
@ -137,8 +219,8 @@
},
"gridPos": {
"h": 4,
"w": 8,
"x": 8,
"w": 6,
"x": 12,
"y": 3
},
"height": "",
@ -179,7 +261,7 @@
"tableColumn": "",
"targets": [
{
"expr": "(sum(irate(response_total{status_code=\"200\", deployment=~\"$deployment\"}[20s]))+sum(irate(response_total{grpc_status_code=\"0\", deployment=~\"$deployment\"}[20s]))) / sum(irate(response_total{deployment=~\"$deployment\"}[20s]))",
"expr": "sum(irate(response_total{classification=\"success\", deployment=~\"$deployment\"}[20s])) / sum(irate(response_total{deployment=~\"$deployment\"}[20s]))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "",
@ -219,8 +301,8 @@
},
"gridPos": {
"h": 4,
"w": 8,
"x": 16,
"w": 6,
"x": 18,
"y": 3
},
"height": "",
@ -334,10 +416,10 @@
"steppedLine": false,
"targets": [
{
"expr": "(sum(irate(response_total{status_code=\"200\", deployment=~\"$deployment\"}[20s])) by (deployment) + sum(irate(response_total{grpc_status_code=\"0\", deployment=~\"$deployment\"}[20s])) by (deployment)) / sum(irate(response_total{deployment=~\"$deployment\"}[20s])) by (deployment)",
"expr": "sum(irate(response_total{classification=\"success\", namespace=~\"$namespace\", direction=\"inbound\"}[20s])) by (namespace) / sum(irate(response_total{namespace=~\"$namespace\", direction=\"inbound\"}[20s])) by (namespace)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{deployment}}",
"legendFormat": "{{namespace}}",
"refId": "A"
}
],
@ -414,10 +496,10 @@
"steppedLine": false,
"targets": [
{
"expr": "sum(irate(request_total{deployment=~\"$deployment\"}[20s])) by (deployment)",
"expr": "sum(irate(request_total{namespace=~\"$namespace\", direction=\"inbound\"}[20s])) by (namespace)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{deployment}}",
"legendFormat": "{{namespace}}",
"refId": "A"
}
],
@ -494,24 +576,24 @@
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.5, sum(irate(response_latency_ms_bucket{deployment=~\"$deployment\"}[20s])) by (le))",
"expr": "histogram_quantile(0.5, sum(irate(response_latency_ms_bucket{namespace=~\"$namespace\", direction=\"inbound\"}[20s])) by (le, namespace))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "p50",
"legendFormat": "p50 {{namespace}}",
"refId": "A"
},
{
"expr": "histogram_quantile(0.95, sum(irate(response_latency_ms_bucket{deployment=~\"$deployment\"}[20s])) by (le))",
"expr": "histogram_quantile(0.95, sum(irate(response_latency_ms_bucket{namespace=~\"$namespace\", direction=\"inbound\"}[20s])) by (le, namespace))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "p95",
"legendFormat": "p95 {{namespace}}",
"refId": "B"
},
{
"expr": "histogram_quantile(0.99, sum(irate(response_latency_ms_bucket{deployment=~\"$deployment\"}[20s])) by (le))",
"expr": "histogram_quantile(0.99, sum(irate(response_latency_ms_bucket{namespace=~\"$namespace\", direction=\"inbound\"}[20s])) by (le, namespace))",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "p99",
"legendFormat": "p99 {{namespace}}",
"refId": "C"
}
],
@ -577,12 +659,12 @@
},
"id": 40,
"panels": [],
"repeat": "deployment",
"repeat": "namespace",
"title": "",
"type": "row"
},
{
"content": "<div>\n <img src=\"https://conduit.io/favicon.png\" style=\"baseline; height:30px;\"/>&nbsp;\n <a href=\"./dashboard/db/conduit-deployment?var-deployment=$deployment\">\n <span style=\"font-size: 15px; border-image:none\">$deployment</span>\n </a>\n</div>",
"content": "<div>\n <img src=\"https://conduit.io/favicon.png\" style=\"baseline; height:30px;\"/>&nbsp;\n <a href=\"./dashboard/db/conduit-deployment?var-namespace=$namespace\">\n <span style=\"font-size: 15px; border-image:none\">$namespace</span>\n </a>\n</div>",
"gridPos": {
"h": 2,
"w": 24,
@ -634,7 +716,7 @@
"steppedLine": false,
"targets": [
{
"expr": "(sum(irate(response_total{status_code=\"200\", dst_deployment=\"$deployment\"}[20s])) by (deployment) + sum(irate(response_total{grpc_status_code=\"0\", dst_deployment=\"$deployment\"}[20s])) by (deployment))/ sum(irate(response_total{dst_deployment=\"$deployment\"}[20s])) by (deployment)",
"expr": "sum(irate(response_total{classification=\"success\", namespace=\"$namespace\", direction=\"inbound\"}[20s])) by (deployment) / sum(irate(response_total{namespace=\"$namespace\", direction=\"inbound\"}[20s])) by (deployment)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{deployment}}",
@ -714,7 +796,7 @@
"steppedLine": false,
"targets": [
{
"expr": "sum(irate(request_total{dst_deployment=\"$deployment\"}[20s])) by (deployment)",
"expr": "sum(irate(request_total{namespace=\"$namespace\", direction=\"inbound\"}[20s])) by (deployment)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "{{deployment}}",
@ -794,27 +876,27 @@
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.5, sum(rate(response_latency_ms_bucket{dst_deployment=\"$deployment\"}[20s])) by (le))",
"expr": "histogram_quantile(0.5, sum(irate(response_latency_ms_bucket{namespace=\"$namespace\", direction=\"inbound\"}[20s])) by (le, deployment))",
"format": "time_series",
"hide": false,
"intervalFactor": 1,
"legendFormat": "p50",
"legendFormat": "p50 {{deployment}}",
"refId": "A"
},
{
"expr": "histogram_quantile(0.95, sum(rate(response_latency_ms_bucket{dst_deployment=\"$deployment\"}[20s])) by (le))",
"expr": "histogram_quantile(0.95, sum(irate(response_latency_ms_bucket{namespace=\"$namespace\", direction=\"inbound\"}[20s])) by (le, deployment))",
"format": "time_series",
"hide": false,
"intervalFactor": 1,
"legendFormat": "p95",
"legendFormat": "p95 {{deployment}}",
"refId": "B"
},
{
"expr": "histogram_quantile(0.99, sum(rate(response_latency_ms_bucket{dst_deployment=\"$deployment\"}[20s])) by (le))",
"expr": "histogram_quantile(0.99, sum(irate(response_latency_ms_bucket{namespace=\"$namespace\", direction=\"inbound\"}[20s])) by (le, deployment))",
"format": "time_series",
"hide": false,
"intervalFactor": 1,
"legendFormat": "p99",
"legendFormat": "p99 {{deployment}}",
"refId": "C"
}
],
@ -861,6 +943,26 @@
"tags": [],
"templating": {
"list": [
{
"allValue": null,
"current": {},
"datasource": "prometheus",
"hide": 2,
"includeAll": true,
"label": null,
"multi": false,
"name": "namespace",
"options": [],
"query": "label_values(request_total{conduit_io_control_plane_component=\"\"}, namespace)",
"refresh": 2,
"regex": "",
"sort": 1,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": null,
"current": {},

12
web/app/js/components/GrafanaLink.jsx
View File

@ -3,20 +3,20 @@ import React from 'react';
export default class GrafanaLink extends React.Component {
render() {
// TODO: pass along namespace information as well, once grafana supports it, part of:
// https://github.com/runconduit/conduit/issues/420
let deployment = this.props.name.split("/")[1];
let ownerInfo = this.props.name.split("/");
let namespace = ownerInfo[0];
let deployment = ownerInfo[1];
return (
<this.props.conduitLink
to={`/dashboard/db/conduit-deployment?var-deployment=${deployment}`}
to={`/dashboard/db/conduit-deployment?var-namespace=${namespace}&var-deployment=${deployment}`}
deployment={"grafana"}
targetBlank={true}>
<img
src={grafanaicon}
width={this.props.size}
height={this.props.size}
title={`${deployment} grafana dashboard`}
alt={`link to ${deployment} grafana dashboard`} />
title={`${namespace}/${deployment} grafana dashboard`}
alt={`link to ${namespace}/${deployment} grafana dashboard`} />
</this.props.conduitLink>
);
}