Update PromQL queries on Insights page and dashboard (#4213)
# What this PR does
Improve PromQL queries
## Checklist
- [x] Unit, integration, and e2e (if applicable) tests updated
- [x] Documentation added (or `pr:no public docs` PR label added if not
required)
- [x] Added the relevant release notes label (see labels prefixed w/
`release:`). These labels dictate how your PR will
show up in the autogenerated release notes.
This commit is contained in:
parent
a17bd893d0
commit
19a85d535e
11 changed files with 63 additions and 83 deletions
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@ -43,7 +43,7 @@
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"content": "<div>\n <img src=\"/public/plugins/grafana-oncall-app/assets/img/logo.svg\">\n</div>",
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"mode": "html"
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"transparent": true,
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"type": "text"
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},
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@ -69,7 +69,7 @@
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"content": "# Grafana OnCall Insights",
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"mode": "markdown"
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"transparent": true,
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"type": "text"
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},
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@ -94,7 +94,7 @@
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"content": "📣 This is a read-only dashboard. To make a copy, click \"Settings\" and \"Save as\".\n\n📝 If you see *\"No data\"* errors, check the right datasource is selected\nand that you have already used and setup the [OnCall](/a/grafana-oncall-app/alert-groups) plugin.\nYou can also try [re-importing the dashboard](/plugins/grafana-oncall-app?page=dashboards)\nto confirm you have the latest updates. If you just copied the dashboard,\nyou may need to reload it.",
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"mode": "markdown"
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"transparent": true,
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"type": "text"
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},
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@ -123,6 +123,7 @@
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},
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"decimals": 0,
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"mappings": [],
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"noValue": "0",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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@ -170,7 +171,7 @@
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"textMode": "auto",
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"wideLayout": true
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"targets": [
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{
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"datasource": {
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@ -181,7 +182,7 @@
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"editorMode": "code",
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"excludeNullMetadata": false,
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"exemplar": false,
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"expr": "delta(max_over_time(sum(avg without(pod, instance) ($alert_groups_total{slug=~\"$instance\", team=~\"$team\", integration=~\"$integration\"}))[30m:])[$__range:]) >= 0",
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"expr": "sum(round(delta($alert_groups_total{slug=~\"$instance\", team=~\"$team\", integration=~\"$integration\"}[$__range]))) >= 0",
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"format": "time_series",
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"fullMetaSearch": false,
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"includeNullMetadata": true,
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@ -217,7 +218,8 @@
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}
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]
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},
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"unit": "s"
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"unit": "s",
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"min": 0
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},
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"overrides": [
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{
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@ -255,7 +257,7 @@
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"textMode": "auto",
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"wideLayout": true
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"targets": [
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{
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"datasource": {
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@ -322,6 +324,7 @@
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"decimals": 0,
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"displayName": "${__field.labels.integration}",
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"mappings": [],
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"min": 0,
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"thresholds": {
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"mode": "absolute",
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"steps": [
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@ -330,8 +333,7 @@
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"value": null
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}
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]
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},
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"unitScale": true
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}
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},
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"overrides": [
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{
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@ -363,6 +365,7 @@
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"y": 14
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},
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"id": 24,
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"interval": "1m",
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"options": {
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"legend": {
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"calcs": [],
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@ -375,6 +378,7 @@
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"sort": "desc"
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}
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},
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"pluginVersion": "11.1.0-69007",
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"targets": [
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{
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"datasource": {
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@ -385,9 +389,11 @@
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"editorMode": "code",
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"excludeNullMetadata": false,
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"exemplar": false,
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"expr": "delta(max_over_time(sum by (integration) (avg without(pod, instance) ($alert_groups_total{slug=~\"$instance\", team=~\"$team\", integration=~\"$integration\"}))[30m:])[1h:]) >= 0",
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"expr": "sum by (integration)(round(delta($alert_groups_total{slug=~\"$instance\", team=~\"$team\", integration=~\"$integration\"}[$__interval:]))) >= 0",
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"fullMetaSearch": false,
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"hide": false,
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"instant": false,
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"interval": "",
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"legendFormat": "__auto",
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"range": true,
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"refId": "A",
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@ -456,7 +462,7 @@
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]
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},
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"unit": "s",
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"unitScale": true
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"min": 0
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},
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"overrides": [
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{
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@ -547,6 +553,8 @@
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},
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"decimals": 0,
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"mappings": [],
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"min": 0,
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"noValue": "0",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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@ -555,8 +563,7 @@
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"value": null
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}
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]
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},
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"unitScale": true
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}
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},
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"overrides": [
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{
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@ -597,7 +604,7 @@
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"showHeader": true,
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"sortBy": []
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"targets": [
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{
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"datasource": {
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@ -606,7 +613,7 @@
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},
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"editorMode": "code",
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"exemplar": false,
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"expr": "sort_desc(delta(max_over_time(sum by(integration) (avg without(pod, instance)($alert_groups_total{slug=~\"$instance\", team=~\"$team\", integration=~\"$integration\"}))[1h:])[$__range:])>=0)",
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"expr": "sort_desc(sum by (integration)(round(delta($alert_groups_total{slug=~\"$instance\", team=~\"$team\", integration=~\"$integration\"}[$__range]))) >= 0)",
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"format": "table",
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"instant": true,
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"legendFormat": "__auto",
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@ -616,16 +623,15 @@
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],
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"title": "Alert groups by Integration",
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"transformations": [
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{
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"id": "seriesToRows",
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"options": {}
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},
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{
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"id": "organize",
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"options": {
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"excludeByName": {
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"Time": true
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"Metric": false,
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"Time": true,
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"Value": false
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},
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"includeByName": {},
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"indexByName": {},
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"renameByName": {
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"Metric": "Integration",
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@ -659,6 +665,7 @@
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"inspect": false
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},
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"mappings": [],
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"min": 0,
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"thresholds": {
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"mode": "absolute",
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"steps": [
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@ -672,8 +679,7 @@
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}
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]
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},
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"unit": "s",
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"unitScale": true
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"unit": "s"
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},
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"overrides": [
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{
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@ -714,7 +720,7 @@
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"showHeader": true,
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"sortBy": []
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"targets": [
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{
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"datasource": {
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@ -733,10 +739,6 @@
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],
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"title": "Mean time to respond (MTTR) by Integration",
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"transformations": [
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{
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"id": "seriesToRows",
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"options": {}
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},
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{
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"id": "organize",
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"options": {
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@ -799,7 +801,9 @@
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"inspect": false
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},
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"decimals": 0,
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"fieldMinMax": true,
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"mappings": [],
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"min": 0,
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"thresholds": {
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"mode": "absolute",
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"steps": [
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@ -808,8 +812,7 @@
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"value": null
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}
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]
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},
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"unitScale": true
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}
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},
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"overrides": [
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{
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@ -850,7 +853,7 @@
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"showHeader": true,
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"sortBy": []
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"targets": [
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{
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"datasource": {
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@ -859,7 +862,7 @@
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},
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"editorMode": "code",
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"exemplar": false,
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"expr": "sort_desc(delta(max_over_time(sum by(team) (avg without(pod, instance)($alert_groups_total{slug=~\"$instance\", team=~\"$team\", integration=~\"$integration\"}))[1h:])[$__range:])>=0)",
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"expr": "sort_desc(sum by (team)(round(delta($alert_groups_total{slug=~\"$instance\", team=~\"$team\", integration=~\"$integration\"}[$__range]))) >= 0)",
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"format": "table",
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"instant": true,
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"legendFormat": "__auto",
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@ -869,16 +872,15 @@
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],
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"title": "Alert groups by Team",
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"transformations": [
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{
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"id": "seriesToRows",
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"options": {}
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},
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{
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"id": "organize",
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"options": {
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"excludeByName": {
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"Time": true
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"Time": true,
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"Value": false,
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"team": false
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},
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"includeByName": {},
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"indexByName": {},
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"renameByName": {
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"Metric": "Integration",
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@ -911,7 +913,9 @@
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"filterable": false,
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"inspect": false
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},
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"fieldMinMax": false,
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"mappings": [],
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"min": 0,
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"thresholds": {
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"mode": "absolute",
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"steps": [
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@ -925,8 +929,7 @@
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}
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]
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},
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"unit": "s",
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"unitScale": true
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"unit": "s"
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},
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"overrides": [
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{
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@ -967,7 +970,7 @@
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"showHeader": true,
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"sortBy": []
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"targets": [
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{
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"datasource": {
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@ -986,10 +989,6 @@
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],
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"title": "Mean time to respond (MTTR) by Team",
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"transformations": [
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{
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"id": "seriesToRows",
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"options": {}
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},
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{
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"id": "organize",
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"options": {
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@ -1075,8 +1074,7 @@
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"value": null
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}
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]
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},
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"unitScale": true
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}
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},
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"overrides": [
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{
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@ -1108,6 +1106,7 @@
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"y": 47
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},
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"id": 36,
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"interval": "1m",
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"options": {
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"legend": {
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"calcs": [],
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@ -1130,7 +1129,7 @@
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"editorMode": "code",
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"excludeNullMetadata": false,
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"exemplar": false,
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"expr": "delta(max_over_time(sum by (username) (avg without(pod, instance) ($user_was_notified_of_alert_groups_total{slug=~\"$instance\"}))[30m:])[1h:]) >= 0",
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"expr": "sum by (username)(round(delta($user_was_notified_of_alert_groups_total{slug=~\"$instance\"}[$__interval:]))) >= 0",
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"fullMetaSearch": false,
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"instant": false,
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"legendFormat": "__auto",
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@ -1163,6 +1162,7 @@
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},
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"decimals": 0,
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"mappings": [],
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"min": 0,
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"thresholds": {
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"mode": "absolute",
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"steps": [
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@ -1172,8 +1172,7 @@
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}
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]
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},
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"unit": "none",
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"unitScale": true
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"unit": "none"
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},
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"overrides": [
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{
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@ -1214,7 +1213,7 @@
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"showHeader": true,
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"sortBy": []
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},
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"pluginVersion": "10.4.0-65875",
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"pluginVersion": "11.1.0-69248",
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"targets": [
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{
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"datasource": {
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@ -1223,7 +1222,7 @@
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},
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"editorMode": "code",
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"exemplar": false,
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"expr": "sort_desc(delta(max_over_time(sum by (username) (avg without(pod, instance) ($user_was_notified_of_alert_groups_total{slug=~\"$instance\"}))[30m:])[$__range:])>=0)",
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"expr": "sort_desc(sum by (username)(round(delta($user_was_notified_of_alert_groups_total{slug=~\"$instance\"}[$__range]))) >= 0)",
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"format": "table",
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"instant": true,
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"legendFormat": "__auto",
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@ -1233,10 +1232,6 @@
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],
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"title": "New alert groups notifications",
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"transformations": [
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{
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"id": "seriesToRows",
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"options": {}
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},
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{
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"id": "organize",
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"options": {
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@ -1259,7 +1254,6 @@
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],
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"refresh": false,
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"schemaVersion": 39,
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"style": "dark",
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"tags": ["oncall"],
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"templating": {
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"list": [
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},
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"timezone": "browser",
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"title": "OnCall Insights",
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"version": 2,
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"revision": 2,
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"version": 3,
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"revision": 3,
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"weekStart": ""
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}
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@ -10,7 +10,7 @@ export function getAlertGroupsByIntegrationScene({ datasource, stack }: Insights
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{
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editorMode: 'code',
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exemplar: false,
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expr: `sort_desc(delta(max_over_time(sum by(integration) (avg without(pod, instance)($alert_groups_total{slug=~"${stack}", team=~"$team", integration=~"$integration"}))[1h:])[$__range:])>=0)`,
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expr: `sort_desc(sum by (integration)(round(delta($alert_groups_total{slug=~"${stack}", team=~"$team", integration=~"$integration"}[$__range]))) >= 0)`,
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format: 'table',
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instant: true,
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legendFormat: '__auto',
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@ -23,10 +23,6 @@ export function getAlertGroupsByIntegrationScene({ datasource, stack }: Insights
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const transformedData = new SceneDataTransformer({
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$data: query,
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transformations: [
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{
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id: 'seriesToRows',
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options: {},
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},
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{
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id: 'organize',
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options: {
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@ -10,7 +10,7 @@ export function getAlertGroupsByTeamScene({ datasource, stack }: InsightsConfig)
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{
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editorMode: 'code',
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exemplar: false,
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expr: `sort_desc(delta(max_over_time(sum by(team) (avg without(pod, instance)($alert_groups_total{slug=~"${stack}", team=~"$team", integration=~"$integration"}))[1h:])[$__range:])>=0)`,
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expr: `sort_desc(sum by (team)(round(delta($alert_groups_total{slug=~"${stack}", team=~"$team", integration=~"$integration"}[$__range]))) >= 0)`,
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format: 'table',
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instant: true,
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legendFormat: '__auto',
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@ -23,10 +23,6 @@ export function getAlertGroupsByTeamScene({ datasource, stack }: InsightsConfig)
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const transformedData = new SceneDataTransformer({
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$data: query,
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transformations: [
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{
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id: 'seriesToRows',
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options: {},
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},
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{
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id: 'organize',
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options: {
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@ -48,6 +48,7 @@ export function getMTTRAverage({ datasource, stack }: InsightsConfig) {
|
|||
],
|
||||
},
|
||||
unit: 's',
|
||||
min: 0,
|
||||
},
|
||||
overrides: [],
|
||||
},
|
||||
|
|
|
|||
|
|
@ -23,10 +23,6 @@ export function getMTTRByIntegrationScene({ datasource, stack }: InsightsConfig)
|
|||
const transformedData = new SceneDataTransformer({
|
||||
$data: query,
|
||||
transformations: [
|
||||
{
|
||||
id: 'seriesToRows',
|
||||
options: {},
|
||||
},
|
||||
{
|
||||
id: 'organize',
|
||||
options: {
|
||||
|
|
@ -89,6 +85,7 @@ export function getMTTRByIntegrationScene({ datasource, stack }: InsightsConfig)
|
|||
],
|
||||
},
|
||||
unit: 's',
|
||||
min: 0,
|
||||
},
|
||||
overrides: [
|
||||
{
|
||||
|
|
|
|||
|
|
@ -23,10 +23,6 @@ export function getMTTRByTeamScene({ datasource, stack }: InsightsConfig) {
|
|||
const transformedData = new SceneDataTransformer({
|
||||
$data: query,
|
||||
transformations: [
|
||||
{
|
||||
id: 'seriesToRows',
|
||||
options: {},
|
||||
},
|
||||
{
|
||||
id: 'organize',
|
||||
options: {
|
||||
|
|
@ -79,6 +75,7 @@ export function getMTTRByTeamScene({ datasource, stack }: InsightsConfig) {
|
|||
],
|
||||
},
|
||||
unit: 's',
|
||||
min: 0,
|
||||
},
|
||||
overrides: [
|
||||
{
|
||||
|
|
|
|||
|
|
@ -75,6 +75,7 @@ export function getMTTRChangedTimeseriesScene({ datasource, stack }: InsightsCon
|
|||
],
|
||||
},
|
||||
unit: 's',
|
||||
min: 0,
|
||||
},
|
||||
overrides: [
|
||||
{
|
||||
|
|
|
|||
|
|
@ -12,7 +12,7 @@ export function getNewAlertGroupsScene({ datasource, stack }: InsightsConfig) {
|
|||
editorMode: 'code',
|
||||
excludeNullMetadata: false,
|
||||
exemplar: false,
|
||||
expr: `delta(max_over_time(sum(avg without(pod, instance) ($alert_groups_total{slug=~"${stack}", team=~"$team", integration=~"$integration"}))[30m:])[$__range:]) >= 0`,
|
||||
expr: `sum(round(delta($alert_groups_total{slug=~"${stack}", team=~"$team", integration=~"$integration"}[$__range]))) >= 0`,
|
||||
format: 'time_series',
|
||||
fullMetaSearch: false,
|
||||
includeNullMetadata: true,
|
||||
|
|
|
|||
|
|
@ -10,7 +10,7 @@ export function getNewAlertGroupsNotificationsTableScene({ datasource, stack }:
|
|||
{
|
||||
editorMode: 'code',
|
||||
exemplar: false,
|
||||
expr: `sort_desc(delta(max_over_time(sum by (username) (avg without(pod, instance) ($user_was_notified_of_alert_groups_total{slug=~"${stack}"}))[1h:])[$__range:])>=0)`,
|
||||
expr: `sort_desc(sum by (username)(round(delta($user_was_notified_of_alert_groups_total{slug=~"${stack}"}[$__range]))) >= 0)`,
|
||||
format: 'table',
|
||||
instant: true,
|
||||
legendFormat: '__auto',
|
||||
|
|
@ -23,10 +23,6 @@ export function getNewAlertGroupsNotificationsTableScene({ datasource, stack }:
|
|||
const transformedData = new SceneDataTransformer({
|
||||
$data: query,
|
||||
transformations: [
|
||||
{
|
||||
id: 'seriesToRows',
|
||||
options: {},
|
||||
},
|
||||
{
|
||||
id: 'organize',
|
||||
options: {
|
||||
|
|
|
|||
|
|
@ -6,13 +6,14 @@ import { InsightsConfig } from 'pages/insights/Insights.types';
|
|||
export function getNewAlertGroupsNotificationsTimeseriesScene({ datasource, stack }: InsightsConfig) {
|
||||
const query = new SceneQueryRunner({
|
||||
datasource,
|
||||
minInterval: '1m',
|
||||
queries: [
|
||||
{
|
||||
disableTextWrap: false,
|
||||
editorMode: 'code',
|
||||
excludeNullMetadata: false,
|
||||
exemplar: false,
|
||||
expr: `delta(max_over_time(sum by (username) (avg without(pod, instance) ($user_was_notified_of_alert_groups_total{slug=~"${stack}"}))[30m:])[1h:]) >= 0`,
|
||||
expr: `sum by (username)(round(delta($user_was_notified_of_alert_groups_total{slug=~"${stack}"}[$__interval:]))) >= 0`,
|
||||
fullMetaSearch: false,
|
||||
instant: false,
|
||||
legendFormat: '__auto',
|
||||
|
|
|
|||
|
|
@ -6,13 +6,14 @@ import { InsightsConfig } from 'pages/insights/Insights.types';
|
|||
export function getNewAlertGroupsTimeseriesScene({ datasource, stack }: InsightsConfig) {
|
||||
const query = new SceneQueryRunner({
|
||||
datasource,
|
||||
minInterval: '1m',
|
||||
queries: [
|
||||
{
|
||||
disableTextWrap: false,
|
||||
editorMode: 'code',
|
||||
excludeNullMetadata: false,
|
||||
exemplar: false,
|
||||
expr: `delta(max_over_time(sum by (integration) (avg without(pod, instance) ($alert_groups_total{slug=~"${stack}", team=~"$team", integration=~"$integration"}))[30m:])[1h:]) >= 0`,
|
||||
expr: `sum by (integration)(round(delta($alert_groups_total{slug=~"${stack}", team=~"$team", integration=~"$integration"}[$__interval:]))) >= 0`,
|
||||
fullMetaSearch: false,
|
||||
instant: false,
|
||||
legendFormat: '__auto',
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue