From 44e60f1e57f7d607c952c840828943858c818a7f Mon Sep 17 00:00:00 2001 From: Jason Ertel Date: Wed, 8 Feb 2023 14:03:27 -0500 Subject: [PATCH] upgrade influx --- salt/influxdb/templates/container.json | 1 + salt/influxdb/templates/host.json | 1 + salt/influxdb/templates/role.json | 1 + salt/influxdb/templates/security_onion_performance.json | 1 + 4 files changed, 4 insertions(+) create mode 100644 salt/influxdb/templates/container.json create mode 100644 salt/influxdb/templates/host.json create mode 100644 salt/influxdb/templates/role.json create mode 100644 salt/influxdb/templates/security_onion_performance.json diff --git a/salt/influxdb/templates/container.json b/salt/influxdb/templates/container.json new file mode 100644 index 000000000..77ff20bde --- /dev/null +++ b/salt/influxdb/templates/container.json @@ -0,0 +1 @@ +[{"apiVersion":"influxdata.com/v2alpha1","kind":"Variable","metadata":{"name":"variable-container"},"spec":{"language":"flux","name":"container","query":"import \"array\"\n\ndynamic = from(bucket: \"telegraf\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"docker_container_cpu\")\n |> filter(fn: (r) => r[\"host\"] == v.host)\n |> filter(fn: (r) => r[\"cpu\"] == \"cpu-total\")\n |> keep(columns: [\"container_name\"])\n |> rename(fn: (column) => \"_value\")\n |> unique()\n\nstatic = array.from(\n rows: [\n {\n _value: \"All\",\n },\n ],\n)\n\nunion(tables: [static, dynamic])","selected":["cool_gauss"],"type":"query"}}] diff --git a/salt/influxdb/templates/host.json b/salt/influxdb/templates/host.json new file mode 100644 index 000000000..adfdf884f --- /dev/null +++ b/salt/influxdb/templates/host.json @@ -0,0 +1 @@ +[{"apiVersion":"influxdata.com/v2alpha1","kind":"Variable","metadata":{"name":"variable-host"},"spec":{"language":"flux","name":"host","query":"import \"influxdata/influxdb/schema\"\nimport \"array\"\n\ndynamic = schema.tagValues(bucket: \"telegraf\", tag: \"host\")\n\nstatic = array.from(\n rows: [\n {\n _value: \"All\",\n },\n ],\n)\n\nunion(tables: [static, dynamic])","selected":["dev"],"type":"query"}}] diff --git a/salt/influxdb/templates/role.json b/salt/influxdb/templates/role.json new file mode 100644 index 000000000..72b48bdd7 --- /dev/null +++ b/salt/influxdb/templates/role.json @@ -0,0 +1 @@ +[{"apiVersion":"influxdata.com/v2alpha1","kind":"Variable","metadata":{"name":"variable-role"},"spec":{"language":"flux","name":"role","query":"import \"influxdata/influxdb/schema\"\nimport \"array\"\n\ndynamic = schema.tagValues(bucket: \"telegraf\", tag: \"role\")\n\nstatic = array.from(\n rows: [\n {\n _value: \"All\",\n },\n ],\n)\n\nunion(tables: [static, dynamic])","selected":["standalone"],"type":"query"}}] diff --git a/salt/influxdb/templates/security_onion_performance.json b/salt/influxdb/templates/security_onion_performance.json new file mode 100644 index 000000000..9baa33b8d --- /dev/null +++ b/salt/influxdb/templates/security_onion_performance.json @@ -0,0 +1 @@ +[{"apiVersion":"influxdata.com/v2alpha1","kind":"Dashboard","metadata":{"name":"dashboard-so"},"spec":{"charts":[{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":1,"height":2,"kind":"Single_Stat","name":"Uptime","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"system\")\n |> filter(fn: (r) => r[\"_field\"] == \"uptime\")\n |> hostFilter()\n |> map(fn: (r) => ({r with _value: r._value / (24 * 60 * 60)}))\n |> group(columns: [\"host\"])\n |> last()\n |> lowestMin(n:1)"}],"staticLegend":{},"suffix":" days","width":1},{"colors":[{"id":"0","name":"viridian","type":"min","hex":"#32B08C"},{"id":"5IArg2lDb8KvnphywgUXa","name":"pineapple","type":"threshold","hex":"#FFB94A","value":70},{"id":"yFhH3mtavjuAZh6cEt5lx","name":"fire","type":"threshold","hex":"#DC4E58","value":80},{"id":"1","name":"ruby","type":"max","hex":"#BF3D5E","value":100}],"decimalPlaces":0,"height":4,"kind":"Gauge","name":"CPU Usage","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"cpu\"] == \"cpu-total\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_idle\")\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> highestMax(n: 1)\n |> map(fn: (r) => ({r with _value: r._value * -1.0 + 100.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{},"suffix":"%","tickSuffix":"%","width":3,"yPos":2},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear"}],"colorizeRows":true,"colors":[{"id":"xflqbsX-j3iq4ry5QOntK","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#8F8AF4"},{"id":"5H28HcITm6QVfQsXon0vq","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#A51414"},{"id":"25MrINwurNBkQqeKCkMPg","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#F4CF31"}],"geom":"line","height":4,"heightRatio":0.301556420233463,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Redis Queue","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"redisqueue\")\n |> filter(fn: (r) => r[\"_field\"] == \"unparsed\")\n |> group(columns: [\"host\", \"_field\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"},{"query":"from(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"redisqueue\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_unparsed\")\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"host\", \"_field\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"heightRatio":0.301556420233463,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","yCol":"_value","yPos":6},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":" days"}],"colorizeRows":true,"colors":[{"id":"sW2GqpGAsGB5Adx16jKjp","name":"Nineteen Eighty Four","type":"scale","hex":"#31C0F6"},{"id":"TsdXuXwdI5Npi9S8L4f-i","name":"Nineteen Eighty Four","type":"scale","hex":"#A500A5"},{"id":"OGL29-SUbJ6FyQb0JzbaD","name":"Nineteen Eighty Four","type":"scale","hex":"#FF7E27"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"System Uptime","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"system\")\n |> filter(fn: (r) => r[\"_field\"] == \"uptime\")\n |> hostFilter()\n |> roleFilter()\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: true)\n |> map(fn: (r) => ({r with _value: r._value / (24 * 60 * 60)}))\n |> yield(name: \"last\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"system\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_uptime\")\n |> hostFilter()\n |> roleFilter()\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: true)\n |> map(fn: (r) => ({r with _value: r._value / (24.0 * 60.0 * 60.0)}))\n |> yield(name: \"last\")"}],"shade":true,"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","yCol":"_value","yPos":10},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"sW2GqpGAsGB5Adx16jKjp","name":"Nineteen Eighty Four","type":"scale","hex":"#31C0F6"},{"id":"TsdXuXwdI5Npi9S8L4f-i","name":"Nineteen Eighty Four","type":"scale","hex":"#A500A5"},{"id":"OGL29-SUbJ6FyQb0JzbaD","name":"Nineteen Eighty Four","type":"scale","hex":"#FF7E27"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"System CPU Usage","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_idle\")\n |> filter(fn: (r) => r[\"cpu\"] == \"cpu-total\")\n |> hostFilter()\n |> roleFilter()\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> map(fn: (r) => ({r with _value: r._value * -1.0 + 100.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: true)\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_usage_idle\")\n |> filter(fn: (r) => r[\"cpu\"] == \"cpu-total\")\n |> hostFilter()\n |> roleFilter()\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\",\"host\", \"role\"])\n |> map(fn: (r) => ({r with _value: r._value * -1.0 + 100.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: true)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","yCol":"_value","yPos":14},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"QDwChKZWuQV0BaJcEeSam","name":"Atlantis","type":"scale","hex":"#74D495"},{"id":"ThD0WTqKHltQEVlq9mo6K","name":"Atlantis","type":"scale","hex":"#3F3FBA"},{"id":"FBHYZiwDLKyQK3eRfUD-0","name":"Atlantis","type":"scale","hex":"#FF4D9E"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"System Memory Usage","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_used_percent\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","yCol":"_value","yPos":18},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":"b/s"}],"colorizeRows":true,"colors":[{"id":"TtgHQAXNep94KBgtu48C_","name":"Cthulhu","type":"scale","hex":"#FDC44F"},{"id":"_IuzkORho_8QXTE6vMllv","name":"Cthulhu","type":"scale","hex":"#007C76"},{"id":"bUszW_YI_9oColDbLNQ-d","name":"Cthulhu","type":"scale","hex":"#8983FF"}],"geom":"line","height":4,"heightRatio":0.18482490272373542,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Monitor Interface Traffic - Inbound","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"import \"join\"\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n \nmanints = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"node_config\")\n |> hostFilter()\n |> filter(fn: (r) => r[\"_field\"] == \"monint\")\n |> distinct()\n |> group(columns: [\"host\"])\n\ntraffic = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"bytes_recv\")\n |> hostFilter()\n |> roleFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 8.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"host\"])\n\njoin.inner(left: traffic, right: manints,\n on: (l,r) => l.interface == r._value,\n as: (l, r) => ({l with _value: l._value, result: \"bytes_recv\"}))"},{"query":"import \"join\"\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n \nmanints = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"node_config\")\n |> hostFilter()\n |> filter(fn: (r) => r[\"_field\"] == \"monint\")\n |> distinct()\n |> group(columns: [\"host\"])\n\ntraffic = from(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_bytes_recv\")\n |> hostFilter()\n |> roleFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 8.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"host\"])\n\njoin.inner(left: traffic, right: manints,\n on: (l,r) => l.interface == r._value,\n as: (l, r) => ({l with _value: l._value, result: \"Trend\"}))"}],"staticLegend":{"colorizeRows":true,"heightRatio":0.18482490272373542,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","yCol":"_value","yPos":22},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":"b/s"}],"colorizeRows":true,"colors":[{"id":"TtgHQAXNep94KBgtu48C_","name":"Cthulhu","type":"scale","hex":"#FDC44F"},{"id":"_IuzkORho_8QXTE6vMllv","name":"Cthulhu","type":"scale","hex":"#007C76"},{"id":"bUszW_YI_9oColDbLNQ-d","name":"Cthulhu","type":"scale","hex":"#8983FF"}],"geom":"line","height":4,"heightRatio":0.18482490272373542,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Management Interface Traffic - Inbound","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"import \"join\"\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nmanints = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"node_config\")\n |> hostFilter()\n |> filter(fn: (r) => r[\"_field\"] == \"manint\")\n |> distinct()\n |> group(columns: [\"host\"])\n\ntraffic = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"bytes_recv\")\n |> hostFilter()\n |> roleFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 8.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"host\"])\n\njoin.inner(left: traffic, right: manints,\n on: (l,r) => l.interface == r._value,\n as: (l, r) => ({l with _value: l._value, result: \"bytes_recv\"}))"},{"query":"import \"join\"\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nmanints = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"node_config\")\n |> hostFilter()\n |> filter(fn: (r) => r[\"_field\"] == \"manint\")\n |> distinct()\n |> group(columns: [\"host\"])\n\ntraffic = from(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_bytes_recv\")\n |> hostFilter()\n |> roleFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 8.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"host\"])\n\njoin.inner(left: traffic, right: manints,\n on: (l,r) => l.interface == r._value,\n as: (l, r) => ({l with _value: l._value, result: \"Trend\"}))"}],"staticLegend":{"colorizeRows":true,"heightRatio":0.18482490272373542,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":6,"widthRatio":1,"xCol":"_time","yCol":"_value","yPos":26},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"TtgHQAXNep94KBgtu48C_","name":"Cthulhu","type":"scale","hex":"#FDC44F"},{"id":"_IuzkORho_8QXTE6vMllv","name":"Cthulhu","type":"scale","hex":"#007C76"},{"id":"bUszW_YI_9oColDbLNQ-d","name":"Cthulhu","type":"scale","hex":"#8983FF"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Stenographer Packet Loss","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"stenodrop\")\n |> filter(fn: (r) => r[\"_field\"] == \"drop\")\n |> hostFilter()\n |> roleFilter()\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"stenodrop\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_drop\")\n |> hostFilter()\n |> roleFilter()\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","yCol":"_value","yPos":30},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"3PVw3hQuZUzyar7Js3mMH","name":"Ectoplasm","type":"scale","hex":"#DA6FF1"},{"id":"O34ux-D8Xq_1-eeWRyYYH","name":"Ectoplasm","type":"scale","hex":"#00717A"},{"id":"P04RoKOHBdLdvfrfFbn0F","name":"Ectoplasm","type":"scale","hex":"#ACFF76"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Disk Usage /","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"disk\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> filter(fn: (r) => r[\"path\"] == \"/\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"disk\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_used_percent\")\n |> filter(fn: (r) => r[\"path\"] == \"/\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":6,"widthRatio":1,"xCol":"_time","yCol":"_value","yPos":34},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":" days"}],"colorizeRows":true,"colors":[{"id":"3PVw3hQuZUzyar7Js3mMH","name":"Ectoplasm","type":"scale","hex":"#DA6FF1"},{"id":"O34ux-D8Xq_1-eeWRyYYH","name":"Ectoplasm","type":"scale","hex":"#00717A"},{"id":"P04RoKOHBdLdvfrfFbn0F","name":"Ectoplasm","type":"scale","hex":"#ACFF76"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Stenographer PCAP Retention","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"import \"join\"\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"pcapage\")\n |> filter(fn: (r) => r[\"_field\"] == \"seconds\")\n |> map(fn: (r) => ({ r with _value: r._value / (24.0 * 3600.0)}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\",\"host\"])"},{"query":"import \"join\"\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"pcapage\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_seconds\")\n |> set(key: \"_field\", value: \"Trend\")\n |> map(fn: (r) => ({ r with _value: r._value / (24.0 * 3600.0)}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\",\"host\"])"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":6,"widthRatio":1,"xCol":"_time","yCol":"_value","yPos":38},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":1,"height":2,"kind":"Single_Stat","name":"5m Load Average","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"system\")\n |> filter(fn: (r) => r[\"_field\"] == \"load5\")\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> aggregateWindow(every: v.windowPeriod, fn: mean)\n |> highestMax(n:1)"}],"staticLegend":{},"width":1,"xPos":1},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":1,"height":2,"kind":"Single_Stat","name":"IOWait","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n \nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"cpu\"] == \"cpu-total\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_iowait\")\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> aggregateWindow(every: v.windowPeriod, fn: mean)\n |> highestMax(n:1)"}],"staticLegend":{},"suffix":"%","width":1,"xPos":2},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":0,"height":2,"kind":"Single_Stat","name":"Estimated EPS In","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n \nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"logstash_events\")\n |> filter(fn: (r) => r[\"_field\"] == \"in\")\n |> hostFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\"])\n |> last()\n |> aggregateWindow(every: v.windowPeriod, fn: mean)\n |> highestMax(n:1)"}],"staticLegend":{},"width":1,"xPos":3},{"colors":[{"id":"0","name":"viridian","type":"min","hex":"#32B08C"},{"id":"5IArg2lDb8KvnphywgUXa","name":"pineapple","type":"threshold","hex":"#FFB94A","value":70},{"id":"yFhH3mtavjuAZh6cEt5lx","name":"fire","type":"threshold","hex":"#DC4E58","value":80},{"id":"1","name":"ruby","type":"max","hex":"#BF3D5E","value":100}],"decimalPlaces":0,"height":4,"kind":"Gauge","name":"Memory Usage","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> highestMax(n: 1)\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{},"suffix":"%","tickSuffix":"%","width":3,"xPos":3,"yPos":2},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":" e/s"}],"colorizeRows":true,"colors":[{"id":"xflqbsX-j3iq4ry5QOntK","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#8F8AF4"},{"id":"5H28HcITm6QVfQsXon0vq","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#A51414"},{"id":"25MrINwurNBkQqeKCkMPg","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#F4CF31"}],"geom":"line","height":4,"heightRatio":0.301556420233463,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Logstash EPS","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"logstash_events\")\n |> filter(fn: (r) => r[\"_field\"] == \"in\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"_field\", \"host\", \"pipeline\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"logstash_events\")\n |> filter(fn: (r) => r[\"_field\"] == \"out\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> map(fn: (r) => ({r with _value: -r._value}))\n |> group(columns: [\"_field\", \"host\", \"pipeline\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"},{"query":"from(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"logstash_events\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_in\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> set(key: \"_field\", value: \"Trend In\")\n |> group(columns: [\"_field\", \"host\", \"pipeline\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"},{"query":"from(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"logstash_events\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_out\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> map(fn: (r) => ({r with _value: -r._value}))\n |> set(key: \"_field\", value: \"Trend Out\")\n |> group(columns: [\"_field\", \"host\", \"pipeline\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"heightRatio":0.301556420233463,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","xPos":3,"yCol":"_value","yPos":6},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"TtgHQAXNep94KBgtu48C_","name":"Cthulhu","type":"scale","hex":"#FDC44F"},{"id":"_IuzkORho_8QXTE6vMllv","name":"Cthulhu","type":"scale","hex":"#007C76"},{"id":"bUszW_YI_9oColDbLNQ-d","name":"Cthulhu","type":"scale","hex":"#8983FF"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Suricata Packet Loss","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"suridrop\")\n |> filter(fn: (r) => r[\"_field\"] == \"drop\")\n |> hostFilter()\n |> roleFilter()\n |> map(fn: (r) => ({r with _value: r._value * 100.0}))\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"suridrop\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_drop\")\n |> hostFilter()\n |> roleFilter()\n |> map(fn: (r) => ({r with _value: r._value * 100.0}))\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","xPos":3,"yCol":"_value","yPos":30},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":0,"height":2,"kind":"Single_Stat","name":"Redis Queue","queries":[{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"redisqueue\")\n |> filter(fn: (r) => r[\"_field\"] == \"unparsed\")\n |> group(columns: [\"host\"])\n |> last()\n |> aggregateWindow(every: v.windowPeriod, fn: mean)\n |> highestMax(n:1)"}],"staticLegend":{},"width":1,"xPos":4},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":" days"}],"colorizeRows":true,"colors":[{"id":"sW2GqpGAsGB5Adx16jKjp","name":"Nineteen Eighty Four","type":"scale","hex":"#31C0F6"},{"id":"TsdXuXwdI5Npi9S8L4f-i","name":"Nineteen Eighty Four","type":"scale","hex":"#A500A5"},{"id":"OGL29-SUbJ6FyQb0JzbaD","name":"Nineteen Eighty Four","type":"scale","hex":"#FF7E27"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Container Uptime","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"containerFilter = (tables=<-) =>\n if v.Container != \"(All)\" then\n tables |> filter(fn: (r) => r[\"container_name\"] == v.Container)\n else\n tables\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"docker_container_status\")\n |> filter(fn: (r) => r[\"_field\"] == \"uptime_ns\")\n |> filter(fn: (r) => r[\"container_status\"] == \"running\")\n |> hostFilter()\n |> roleFilter()\n |> containerFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: true)\n |> group(columns: [\"_field\", \"host\", \"role\", \"container_name\"])\n |> map(fn: (r) => ({r with _value: r._value / (24 * 60 * 60 * 1000000000)}))\n |> yield(name: \"last\")"},{"query":"containerFilter = (tables=<-) =>\n if v.Container != \"(All)\" then\n tables |> filter(fn: (r) => r[\"container_name\"] == v.Container)\n else\n tables\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"docker_container_status\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_uptime_ns\")\n |> filter(fn: (r) => r[\"container_status\"] == \"running\")\n |> hostFilter()\n |> roleFilter()\n |> containerFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: true)\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\", \"container_name\"])\n |> map(fn: (r) => ({r with _value: r._value / (24.0 * 60.0 * 60.0 * 1000000000.0)}))\n |> yield(name: \"last\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":4,"yCol":"_value","yPos":10},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"yT5vTIlaaFChSrQvKLfqf","name":"Nineteen Eighty Four","type":"scale","hex":"#31C0F6"},{"id":"mzzUVSu3ibTph1JmQmDAQ","name":"Nineteen Eighty Four","type":"scale","hex":"#A500A5"},{"id":"mOcnDo7l8ii6qNLFIB5rs","name":"Nineteen Eighty Four","type":"scale","hex":"#FF7E27"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Container CPU Usage","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"containerFilter = (tables=<-) =>\n if v.Container != \"(All)\" then\n tables |> filter(fn: (r) => r[\"container_name\"] == v.Container)\n else\n tables\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"docker_container_cpu\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_percent\")\n |> hostFilter()\n |> roleFilter()\n |> containerFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\", \"container_name\"])\n |> yield(name: \"mean\")"},{"query":"containerFilter = (tables=<-) =>\n if v.Container != \"(All)\" then\n tables |> filter(fn: (r) => r[\"container_name\"] == v.Container)\n else\n tables\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"docker_container_cpu\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_usage_percent\")\n |> hostFilter()\n |> roleFilter()\n |> containerFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\", \"container_name\"])\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":4,"yCol":"_value","yPos":14},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"QDwChKZWuQV0BaJcEeSam","name":"Atlantis","type":"scale","hex":"#74D495"},{"id":"ThD0WTqKHltQEVlq9mo6K","name":"Atlantis","type":"scale","hex":"#3F3FBA"},{"id":"FBHYZiwDLKyQK3eRfUD-0","name":"Atlantis","type":"scale","hex":"#FF4D9E"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Container Memory Usage","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"containerFilter = (tables=<-) =>\n if v.Container != \"(All)\" then\n tables |> filter(fn: (r) => r[\"container_name\"] == v.Container)\n else\n tables\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"docker_container_mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_percent\")\n |> hostFilter()\n |> roleFilter()\n |> containerFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\", \"container_name\"])\n |> yield(name: \"mean\")"},{"query":"containerFilter = (tables=<-) =>\n if v.Container != \"(All)\" then\n tables |> filter(fn: (r) => r[\"container_name\"] == v.Container)\n else\n tables\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"docker_container_mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_usage_percent\")\n |> hostFilter()\n |> roleFilter()\n |> containerFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\", \"container_name\"])\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":4,"yCol":"_value","yPos":18},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":"b"}],"colorizeRows":true,"colors":[{"id":"QDwChKZWuQV0BaJcEeSam","name":"Atlantis","type":"scale","hex":"#74D495"},{"id":"ThD0WTqKHltQEVlq9mo6K","name":"Atlantis","type":"scale","hex":"#3F3FBA"},{"id":"FBHYZiwDLKyQK3eRfUD-0","name":"Atlantis","type":"scale","hex":"#FF4D9E"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Container Traffic - Inbound","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"containerFilter = (tables=<-) =>\n if v.Container != \"(All)\" then\n tables |> filter(fn: (r) => r[\"container_name\"] == v.Container)\n else\n tables\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"docker_container_net\")\n |> filter(fn: (r) => r[\"_field\"] == \"rx_bytes\")\n |> hostFilter()\n |> roleFilter()\n |> containerFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> map(fn: (r) => ({r with _value: r._value * 8.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\", \"container_name\"])\n |> yield(name: \"mean\")"},{"query":"containerFilter = (tables=<-) =>\n if v.Container != \"(All)\" then\n tables |> filter(fn: (r) => r[\"container_name\"] == v.Container)\n else\n tables\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"docker_container_net\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_rx_bytes\")\n |> hostFilter()\n |> roleFilter()\n |> containerFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\n |> map(fn: (r) => ({r with _value: r._value * 8.0}))\n |> set(key: \"_field\", value: \"Trend\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\", \"container_name\"])\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":4,"yCol":"_value","yPos":22},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":1,"height":2,"kind":"Single_Stat","name":"Monitor Traffic","queries":[{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"bytes_recv\") \n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> map(fn: (r) => ({r with _value: r._value * 8.0 / (1000.0 * 1000.0)}))\n |> group(columns: [\"host\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean)\n |> last()\n |> highestMax(n:1)"}],"staticLegend":{},"suffix":" Mb/s","width":1,"xPos":5},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":1,"height":2,"kind":"Single_Stat","name":"Zeek Loss","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n \nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"zeekdrop\")\n |> filter(fn: (r) => r[\"_field\"] == \"drop\")\n |> map(fn: (r) => ({r with _value: r._value * 100.0}))\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> aggregateWindow(every: v.windowPeriod, fn: mean)\n |> highestMax(n:1)"}],"staticLegend":{},"suffix":"%","width":1,"xPos":6},{"colors":[{"id":"0","name":"viridian","type":"min","hex":"#32B08C"},{"id":"5IArg2lDb8KvnphywgUXa","name":"pineapple","type":"threshold","hex":"#FFB94A","value":50},{"id":"yFhH3mtavjuAZh6cEt5lx","name":"fire","type":"threshold","hex":"#DC4E58","value":70},{"id":"1","name":"ruby","type":"max","hex":"#BF3D5E","value":100}],"decimalPlaces":0,"height":4,"kind":"Gauge","name":"Swap Usage","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"swap\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> highestMax(n: 1)\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{},"suffix":"%","tickSuffix":"%","width":3,"xPos":6,"yPos":2},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":"s"}],"colorizeRows":true,"colors":[{"id":"xflqbsX-j3iq4ry5QOntK","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#8F8AF4"},{"id":"5H28HcITm6QVfQsXon0vq","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#A51414"},{"id":"25MrINwurNBkQqeKCkMPg","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#F4CF31"}],"geom":"line","height":4,"heightRatio":0.301556420233463,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Elastic Ingest Time Spent","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_community_id_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"community.id_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_conditional_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"conditional_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_date_index_name_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"date.index.name_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_date_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"date_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_dissect_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"dissect_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_dot_expander_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"dot.expander_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_geoip_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"geoip_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_grok_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"grok_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_json_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"json_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_kv_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"kv_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_lowercase_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"lowercase_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_rename_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"rename_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_script_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"script_time\")"},{"query":"from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_clusterstats_nodes\")\n |> filter(fn: (r) => r.role == \"standalone\" or r.role == \"eval\" or r.role == \"import\" or r.role == \"managersearch\" or r.role == \"search\" or r.role == \"node\" or r.role == \"heavynode\")\n |> filter(fn: (r) => r[\"_field\"] == \"ingest_processor_stats_user_agent_time_in_millis\")\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\") \n |> group(columns: [\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"user.agent_time\")"}],"staticLegend":{"colorizeRows":true,"heightRatio":0.301556420233463,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","xPos":6,"yCol":"_value","yPos":6},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":"b/s"}],"colorizeRows":true,"colors":[{"id":"TtgHQAXNep94KBgtu48C_","name":"Cthulhu","type":"scale","hex":"#FDC44F"},{"id":"_IuzkORho_8QXTE6vMllv","name":"Cthulhu","type":"scale","hex":"#007C76"},{"id":"bUszW_YI_9oColDbLNQ-d","name":"Cthulhu","type":"scale","hex":"#8983FF"}],"geom":"line","height":4,"heightRatio":0.18482490272373542,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Management Interface Traffic - Outbound","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"import \"join\"\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n \nmanints = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"node_config\")\n |> hostFilter()\n |> filter(fn: (r) => r[\"_field\"] == \"manint\")\n |> distinct()\n |> group(columns: [\"host\"])\n\ntraffic = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"bytes_sent\")\n |> hostFilter()\n |> roleFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 8.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"host\"])\n \n\njoin.inner(left: traffic, right: manints,\n on: (l,r) => l.interface == r._value,\n as: (l, r) => ({l with _value: l._value, result: \"bytes_sent\"}))"},{"query":"import \"join\"\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n \nmanints = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"node_config\")\n |> hostFilter()\n |> filter(fn: (r) => r[\"_field\"] == \"manint\")\n |> distinct()\n |> group(columns: [\"host\"])\n\ntraffic = from(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_bytes_sent\")\n |> hostFilter()\n |> roleFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 8.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"host\"])\n \n\njoin.inner(left: traffic, right: manints,\n on: (l,r) => l.interface == r._value,\n as: (l, r) => ({l with _value: l._value, result: \"Trend\"}))"}],"staticLegend":{"colorizeRows":true,"heightRatio":0.18482490272373542,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":6,"widthRatio":1,"xCol":"_time","xPos":6,"yCol":"_value","yPos":26},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"TtgHQAXNep94KBgtu48C_","name":"Cthulhu","type":"scale","hex":"#FDC44F"},{"id":"_IuzkORho_8QXTE6vMllv","name":"Cthulhu","type":"scale","hex":"#007C76"},{"id":"bUszW_YI_9oColDbLNQ-d","name":"Cthulhu","type":"scale","hex":"#8983FF"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Zeek Packet Loss","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"zeekdrop\")\n |> filter(fn: (r) => r[\"_field\"] == \"drop\")\n |> hostFilter()\n |> roleFilter()\n |> map(fn: (r) => ({r with _value: r._value * 100.0}))\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"zeekdrop\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_drop\")\n |> hostFilter()\n |> roleFilter()\n |> map(fn: (r) => ({r with _value: r._value * 100.0}))\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","xPos":6,"yCol":"_value","yPos":30},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"3PVw3hQuZUzyar7Js3mMH","name":"Ectoplasm","type":"scale","hex":"#DA6FF1"},{"id":"O34ux-D8Xq_1-eeWRyYYH","name":"Ectoplasm","type":"scale","hex":"#00717A"},{"id":"P04RoKOHBdLdvfrfFbn0F","name":"Ectoplasm","type":"scale","hex":"#ACFF76"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Disk Usage /nsm","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"disk\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> filter(fn: (r) => r[\"path\"] == \"/nsm\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"disk\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_used_percent\")\n |> filter(fn: (r) => r[\"path\"] == \"/nsm\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key:\"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":6,"widthRatio":1,"xCol":"_time","xPos":6,"yCol":"_value","yPos":34},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":"B"}],"colorizeRows":true,"colors":[{"id":"3PVw3hQuZUzyar7Js3mMH","name":"Ectoplasm","type":"scale","hex":"#DA6FF1"},{"id":"O34ux-D8Xq_1-eeWRyYYH","name":"Ectoplasm","type":"scale","hex":"#00717A"},{"id":"P04RoKOHBdLdvfrfFbn0F","name":"Ectoplasm","type":"scale","hex":"#ACFF76"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Elasticsearch Storage Size","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"import \"join\"\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_indices\")\n |> filter(fn: (r) => r[\"_field\"] == \"store_size_in_bytes\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\",\"host\"])"},{"query":"import \"join\"\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_indices\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_store_size_in_bytes\")\n |> set(key: \"_field\", value: \"Trend\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\",\"host\"])"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","xPos":6,"yCol":"_value","yPos":38},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":1,"height":2,"kind":"Single_Stat","name":"Suricata Loss","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"suridrop\")\n |> filter(fn: (r) => r[\"_field\"] == \"drop\")\n |> map(fn: (r) => ({r with _value: r._value * 100.0}))\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> aggregateWindow(every: v.windowPeriod, fn: mean)\n |> highestMax(n:1)"}],"staticLegend":{},"suffix":"%","width":1,"xPos":7},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":1,"height":2,"kind":"Single_Stat","name":"Stenographer Loss","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"stenodrop\")\n |> filter(fn: (r) => r[\"_field\"] == \"drop\")\n |> map(fn: (r) => ({r with _value: r._value * 100.0}))\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> aggregateWindow(every: v.windowPeriod, fn: mean)\n |> highestMax(n:1)"}],"staticLegend":{},"suffix":"%","width":1,"xPos":8},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear"}],"colorizeRows":true,"colors":[{"id":"sW2GqpGAsGB5Adx16jKjp","name":"Nineteen Eighty Four","type":"scale","hex":"#31C0F6"},{"id":"TsdXuXwdI5Npi9S8L4f-i","name":"Nineteen Eighty Four","type":"scale","hex":"#A500A5"},{"id":"OGL29-SUbJ6FyQb0JzbaD","name":"Nineteen Eighty Four","type":"scale","hex":"#FF7E27"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"1m Load Average","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"system\")\n |> filter(fn: (r) => r[\"_field\"] == \"load1\")\n |> hostFilter()\n |> roleFilter()\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: true)\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"system\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_load1\")\n |> hostFilter()\n |> roleFilter()\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\",\"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: true)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":8,"yCol":"_value","yPos":10,"yTickStep":1},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"UAehjIsi65P8u92M_3sQY","name":"Nineteen Eighty Four","type":"scale","hex":"#31C0F6"},{"id":"_SCP8Npp4NVMx2N4mfuzX","name":"Nineteen Eighty Four","type":"scale","hex":"#A500A5"},{"id":"BoMPg4R1KDp_UsRORdV3_","name":"Nineteen Eighty Four","type":"scale","hex":"#FF7E27"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"IO Wait","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"cpu\"] == \"cpu-total\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_iowait\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"cpu\"] == \"cpu-total\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_usage_iowait\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":8,"yCol":"_value","yPos":14},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"QDwChKZWuQV0BaJcEeSam","name":"Atlantis","type":"scale","hex":"#74D495"},{"id":"ThD0WTqKHltQEVlq9mo6K","name":"Atlantis","type":"scale","hex":"#3F3FBA"},{"id":"FBHYZiwDLKyQK3eRfUD-0","name":"Atlantis","type":"scale","hex":"#FF4D9E"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Swap Usage","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"swap\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"swap\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_used_percent\")\n |> hostFilter()\n |> roleFilter()\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":8,"yCol":"_value","yPos":18},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":"b/s"}],"colorizeRows":true,"colors":[{"id":"TtgHQAXNep94KBgtu48C_","name":"Cthulhu","type":"scale","hex":"#FDC44F"},{"id":"_IuzkORho_8QXTE6vMllv","name":"Cthulhu","type":"scale","hex":"#007C76"},{"id":"bUszW_YI_9oColDbLNQ-d","name":"Cthulhu","type":"scale","hex":"#8983FF"}],"geom":"line","height":4,"heightRatio":0.18482490272373542,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Monitor Interface Drops - Inbound","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"import \"join\"\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n \nmanints = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"node_config\")\n |> hostFilter()\n |> filter(fn: (r) => r[\"_field\"] == \"monint\")\n |> distinct()\n |> group(columns: [\"host\"])\n\ntraffic = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"drop_in\")\n |> hostFilter()\n |> roleFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 8.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"host\"])\n\njoin.inner(left: traffic, right: manints,\n on: (l,r) => l.interface == r._value,\n as: (l, r) => ({l with _value: l._value, result: \"drop_in\"}))"},{"query":"import \"join\"\n\nhostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n \nmanints = from(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"node_config\")\n |> hostFilter()\n |> filter(fn: (r) => r[\"_field\"] == \"monint\")\n |> distinct()\n |> group(columns: [\"host\"])\n\ntraffic = from(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_drop_in\")\n |> hostFilter()\n |> roleFilter()\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 8.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"host\"])\n\njoin.inner(left: traffic, right: manints,\n on: (l,r) => l.interface == r._value,\n as: (l, r) => ({l with _value: l._value, result: \"Trend\"}))"}],"staticLegend":{"colorizeRows":true,"heightRatio":0.18482490272373542,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":8,"yCol":"_value","yPos":22},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":1,"height":2,"kind":"Single_Stat","name":"Capture Loss","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"zeekcaptureloss\")\n |> filter(fn: (r) => r[\"_field\"] == \"loss\")\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> aggregateWindow(every: v.windowPeriod, fn: mean)\n |> highestMax(n:1)"}],"staticLegend":{},"suffix":"%","width":1,"xPos":9},{"colors":[{"id":"0","name":"viridian","type":"min","hex":"#32B08C"},{"id":"yFhH3mtavjuAZh6cEt5lx","name":"fire","type":"threshold","hex":"#DC4E58","value":95},{"id":"5IArg2lDb8KvnphywgUXa","name":"pineapple","type":"threshold","hex":"#FFB94A","value":85},{"id":"1","name":"ruby","type":"max","hex":"#BF3D5E","value":100}],"decimalPlaces":0,"height":4,"kind":"Gauge","name":"NSM Usage","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"disk\")\n |> filter(fn: (r) => r[\"path\"] == \"/nsm\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> highestMax(n: 1)\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{},"suffix":"%","tickSuffix":"%","width":3,"xPos":9,"yPos":2},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear"}],"colorizeRows":true,"colors":[{"id":"xflqbsX-j3iq4ry5QOntK","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#8F8AF4"},{"id":"5H28HcITm6QVfQsXon0vq","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#A51414"},{"id":"25MrINwurNBkQqeKCkMPg","name":"Do Androids Dream of Electric Sheep?","type":"scale","hex":"#F4CF31"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Elasticsearch Document Count","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"import \"join\"\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_indices\")\n |> filter(fn: (r) => r[\"_field\"] == \"docs_count\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\",\"host\"])"},{"query":"import \"join\"\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"elasticsearch_indices\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_docs_count\")\n |> set(key: \"_field\", value: \"Trend\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\",\"host\"])"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","xPos":9,"yCol":"_value","yPos":6},{"axes":[{"base":"10","name":"x","scale":"linear"},{"name":"y","scale":"linear","suffix":"%"}],"colorizeRows":true,"colors":[{"id":"TtgHQAXNep94KBgtu48C_","name":"Cthulhu","type":"scale","hex":"#FDC44F"},{"id":"_IuzkORho_8QXTE6vMllv","name":"Cthulhu","type":"scale","hex":"#007C76"},{"id":"bUszW_YI_9oColDbLNQ-d","name":"Cthulhu","type":"scale","hex":"#8983FF"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Zeek Capture Loss","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"zeekcaptureloss\")\n |> filter(fn: (r) => r[\"_field\"] == \"loss\")\n |> hostFilter()\n |> roleFilter()\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"},{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nroleFilter = (tables=<-) =>\n if v.Role != \"(All)\" then\n tables |> filter(fn: (r) => r[\"role\"] == v.Role)\n else\n tables\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"zeekcaptureloss\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_loss\")\n |> hostFilter()\n |> roleFilter()\n |> set(key: \"_field\", value: \"Trend\")\n |> group(columns: [\"_field\", \"host\", \"role\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","xPos":9,"yCol":"_value","yPos":30},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","name":"y","scale":"linear","suffix":"B"}],"colorizeRows":true,"colors":[{"id":"3PVw3hQuZUzyar7Js3mMH","name":"Ectoplasm","type":"scale","hex":"#DA6FF1"},{"id":"O34ux-D8Xq_1-eeWRyYYH","name":"Ectoplasm","type":"scale","hex":"#00717A"},{"id":"P04RoKOHBdLdvfrfFbn0F","name":"Ectoplasm","type":"scale","hex":"#ACFF76"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"InfluxDB Size","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"import \"join\"\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"influxsize\")\n |> filter(fn: (r) => r[\"_field\"] == \"kbytes\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 1000.0}))\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\",\"host\"])"},{"query":"import \"join\"\n\nfrom(bucket: \"telegraf/so_long_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"influxsize\")\n |> filter(fn: (r) => r[\"_field\"] == \"mean_kbytes\")\n |> map(fn: (r) => ({r with \"_value\": r._value * 1000.0}))\n |> set(key: \"_field\", value: \"Trend\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> group(columns: [\"_field\",\"host\"])"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":3,"widthRatio":1,"xCol":"_time","xPos":9,"yCol":"_value","yPos":38},{"colors":[{"id":"base","name":"viridian","type":"text","hex":"#32B08C"},{"id":"SpQHOj76fJwL4uNUdgA_L","name":"pineapple","type":"text","hex":"#FFB94A","value":85},{"id":"FALp969me_9GTrRtLYaab","name":"ruby","type":"text","hex":"#BF3D5E","value":95}],"decimalPlaces":0,"height":2,"kind":"Single_Stat","name":"RootFS Usage","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n\nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"disk\")\n |> filter(fn: (r) => r[\"path\"] == \"/\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> hostFilter()\n |> group(columns: [\"host\"])\n |> last()\n |> highestMax(n: 1)\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{},"suffix":"%","width":1,"xPos":10},{"colors":[{"id":"base","name":"laser","type":"text","hex":"#00C9FF"}],"decimalPlaces":1,"height":2,"kind":"Single_Stat","name":"PCAP Retention","queries":[{"query":"hostFilter = (tables=<-) =>\n if v.Host != \"(All)\" then\n tables |> filter(fn: (r) => r[\"host\"] == v.Host)\n else\n tables\n \nfrom(bucket: \"telegraf/so_short_term\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"pcapage\")\n |> filter(fn: (r) => r[\"_field\"] == \"seconds\")\n |> hostFilter()\n |> map(fn: (r) => ({r with _value: r._value / (24.0 * 60.0 * 60.0)}))\n |> group(columns: [\"host\"])\n |> last()\n |> highestMax(n:1)"}],"staticLegend":{},"suffix":" days","width":1,"xPos":11}],"name":"Security Onion Performance"}}]