apiVersion: influxdata.com/v2alpha1
kind: Label
metadata:
name: fervent-bohr-ded001
spec:
color: '#066fc5'
name: istio
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: agitated-albattani-ded005
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: client_workload_namespace
query: "import \"influxdata/influxdb/schema\"\r\n\r\nschema.tagValues(\r\n bucket:
v.bucket,\r\n tag: \"source_workload_namespace\",\r\n predicate: (r) =>
r._measurement == \"prometheus\" \r\n and r._field == \"istio_requests_total\"\r\n
\ and r.destination_service == v.service\r\n or r._measurement == \"prometheus\"
\r\n and r._field == \"istio_tcp_sent_bytes_total\"\r\n and r.destination_service
== v.service,\r\n start: v.timeRangeStart\r\n)"
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: agitated-spence-1ed00f
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: inbound_workload
query: "import \"influxdata/influxdb/schema\"\r\n\r\nschema.tagValues(\r\n bucket:
v.bucket,\r\n tag: \"source_workload\",\r\n predicate: (r) => r._measurement
== \"prometheus\" \r\n and r._field == \"istio_requests_total\"\r\n and
r.destination_workload == v.workload\r\n and r.destination_workload_namespace
== v.namespace\r\n and r.source_workload_namespace == v.inbound_workload_namespace\r\n
\ or r._measurement == \"prometheus\" \r\n and r._field == \"istio_tcp_sent_bytes_total\"\r\n
\ and r.destination_workload == v.workload\r\n and r.destination_workload_namespace
== v.namespace\r\n and r.source_workload_namespace == v.inbound_workload_namespace,\r\n
\ start: v.timeRangeStart\r\n)"
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: agreeing-davinci-ded00d
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: namespace
query: "import \"influxdata/influxdb/schema\"\r\n\r\nschema.tagValues(\r\n bucket:
v.bucket,\r\n tag: \"destination_workload_namespace\",\r\n predicate: (r)
=> r._measurement == \"prometheus\" \r\n and r._field == \"istio_requests_total\"\r\n
\ or r._measurement == \"prometheus\" \r\n and r._field == \"istio_tcp_sent_bytes_total\",\r\n
\ start: v.timeRangeStart\r\n)"
selected:
- istio-system
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: agreeing-morse-5ed003
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: service
query: "import \"influxdata/influxdb/schema\"\r\n\r\nschema.tagValues(\r\n bucket:
v.bucket,\r\n tag: \"destination_service\",\r\n predicate: (r) => r._measurement
== \"prometheus\" \r\n and r._field == \"istio_requests_total\"\r\n or
r._measurement == \"prometheus\" \r\n and r._field == \"istio_tcp_sent_bytes_total\",\r\n
\ start: v.timeRangeStart\r\n)"
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: bettering-ardinghelli-5ed007
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: service_workload
query: "import \"influxdata/influxdb/schema\"\r\n\r\nschema.tagValues(\r\n bucket:
v.bucket,\r\n tag: \"destination_workload\",\r\n predicate: (r) => r._measurement
== \"prometheus\" \r\n and r._field == \"istio_requests_total\"\r\n and
r.destination_service == v.service\r\n and r.destination_workload_namespace
== v.service_workload_namespace\r\n and r.reporter == \"destination\"\r\n
\ or r._measurement == \"prometheus\" \r\n and r._field == \"istio_tcp_sent_bytes_total\"\r\n
\ and r.destination_service == v.service\r\n and r.destination_workload_namespace
== v.service_workload_namespace\r\n and r.reporter == \"destination\",\r\n
\ start: v.timeRangeStart\r\n)"
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: dazzling-babbage-1ed003
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: bucket
query: |-
buckets()
|> filter(fn: (r) => r.name !~ /^_/)
|> rename(columns: {name: "_value"})
|> keep(columns: ["_value"])
selected:
- demo
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: elated-hellman-ded009
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: destination_service
query: "import \"influxdata/influxdb/schema\"\r\n\r\nschema.tagValues(\r\n bucket:
v.bucket,\r\n tag: \"destination_service\",\r\n predicate: (r) => r._measurement
== \"prometheus\" \r\n and r._field == \"istio_requests_total\"\r\n and
r.reporter == \"source\"\r\n and r.source_workload == v.workload\r\n and
r.source_workload_namespace == v.namespace\r\n or r._measurement == \"prometheus\"
\r\n and r._field == \"istio_tcp_sent_bytes_total\"\r\n and r.reporter
== \"source\"\r\n and r.source_workload == v.workload\r\n and r.source_workload_namespace
== v.namespace,\r\n start: v.timeRangeStart\r\n )"
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: relaxed-lamport-5ed00f
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: client_workload
query: "import \"influxdata/influxdb/schema\"\r\n\r\nschema.tagValues(\r\n bucket:
v.bucket,\r\n tag: \"source_workload\",\r\n predicate: (r) => r._measurement
== \"prometheus\" \r\n and r._field == \"istio_requests_total\"\r\n and
r.destination_service == v.service\r\n and r.source_workload_namespace
== v.client_workload_namespace\r\n or r._measurement == \"prometheus\"
\r\n and r._field == \"istio_tcp_sent_bytes_total\"\r\n and r.destination_service
== v.service,\r\n start: v.timeRangeStart\r\n)"
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: rightful-kapitsa-5ed00b
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: inbound_workload_namespace
query: "import \"influxdata/influxdb/schema\"\r\n\r\nschema.tagValues(\r\n bucket:
v.bucket,\r\n tag: \"source_workload_namespace\",\r\n predicate: (r) =>
r._measurement == \"prometheus\" \r\n and r._field == \"istio_requests_total\"\r\n
\ and r.reporter == \"source\"\r\n and r.destination_workload == v.workload\r\n
\ and r.destination_workload_namespace == v.namespace\r\n or r._measurement
== \"prometheus\" \r\n and r._field == \"istio_tcp_sent_bytes_total\"\r\n
\ and r.reporter == \"source\"\r\n and r.destination_workload == v.workload\r\n
\ and r.destination_workload_namespace == v.namespace,\r\n start: v.timeRangeStart\r\n)"
selected:
- source
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: rustling-saha-1ed007
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: workload
query: "import \"influxdata/influxdb/schema\"\r\n\r\nsource = schema.tagValues(\r\n
\ bucket: v.bucket,\r\n tag: \"source_workload\",\r\n predicate: (r) =>
r._measurement == \"prometheus\" \r\n and r._field == \"istio_requests_total\"
\r\n and r.source_workload_namespace == v.namespace \r\n or r._measurement
== \"prometheus\" \r\n and r._field == \"istio_tcp_sent_bytes_total\" \r\n
\ and r.source_workload_namespace == v.namespace,\r\n start: v.timeRangeStart\r\n)\r\n\r\ndestination
= schema.tagValues(\r\n bucket: v.bucket,\r\n tag: \"destination_workload\",\r\n
\ predicate: (r) => r._measurement == \"prometheus\" \r\n and r._field
== \"istio_requests_total\" \r\n and r.destination_workload_namespace ==
v.namespace \r\n or r._measurement == \"prometheus\" \r\n and r._field
== \"istio_tcp_sent_bytes_total\" \r\n and r.destination_workload_namespace
== v.namespace,\r\n start: v.timeRangeStart\r\n)\r\n\r\nunion(tables: [source,
destination])"
selected:
- unknown
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: thirsty-clarke-1ed00b
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
language: flux
name: service_workload_namespace
query: "import \"influxdata/influxdb/schema\"\r\n\r\nschema.tagValues(\r\n bucket:
v.bucket,\r\n tag: \"destination_workload_namespace\",\r\n predicate: (r)
=> r._measurement == \"prometheus\" \r\n and r._field == \"istio_requests_total\"\r\n
\ and r.destination_service == v.service\r\n and r.reporter == \"destination\"\r\n
\ or r._measurement == \"prometheus\" \r\n and r._field == \"istio_tcp_sent_bytes_total\"\r\n
\ and r.destination_service == v.service\r\n and r.reporter == \"destination\",\r\n
\ start: v.timeRangeStart\r\n)"
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Dashboard
metadata:
name: boring-williams-9ed001
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
charts:
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 2f1fa093-5837-42f4-bbef-705c62693672
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 6d707081-471a-4353-b325-9e1e1339646b
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 3767919c-7ad6-44c5-a94e-2bd5bd74f930
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Deployed Versions
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "istio_build")
|> filter(fn: (r) => r["component"] == "pilot")
|> group(columns: ["tag"])
|> aggregateWindow(every: 1m, fn: sum, createEmpty: false)
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
yCol: _value
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 2f1fa093-5837-42f4-bbef-705c62693672
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 6d707081-471a-4353-b325-9e1e1339646b
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 3767919c-7ad6-44c5-a94e-2bd5bd74f930
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Resource Usage - CPU
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\nfrom(bucket: v.bucket)\n |>
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
(r) => r[\"_measurement\"] == \"prometheus\")\n |> filter(fn: (r)
=> \n r[\"_field\"] == \"container_cpu_usage_seconds_total\" and
r[\"container\"] == \"discovery\" and r[\"pod\"] =~ /istiod-.*|istio-pilot-.*/
or\n r[\"_field\"] == \"process_cpu_seconds_total\" and r[\"app\"]
== \"istiod\" or\n r[\"_field\"] == \"container_cpu_usage_seconds_total\"
and r[\"container\"] == \"istio-proxy\" and r[\"pod\"] =~ /istiod-.*|istio-pilot-.*/\n
\ )\n |> increase() \n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"_field\"])\n |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
yCol: _value
yPos: 2
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: iB
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 2f1fa093-5837-42f4-bbef-705c62693672
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 6d707081-471a-4353-b325-9e1e1339646b
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 3767919c-7ad6-44c5-a94e-2bd5bd74f930
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Resource Usage - Memory
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "a = from(bucket: v.bucket)\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\n |> filter(fn: (r) => r[\"_field\"] == \"process_virtual_memory_bytes\"
\n or r[\"_field\"] == \"process_resident_memory_bytes\" \n or
r[\"_field\"] == \"go_memstats_heap_sys_bytes\" \n or r[\"_field\"]
== \"go_memstats_heap_alloc_bytes\"\n or r[\"_field\"] == \"go_memstats_alloc_bytes\"\n
\ or r[\"_field\"] == \"go_memstats_heap_inuse_bytes\"\n or r[\"_field\"]
== \"go_memstats_stack_inuse_bytes\")\n |> filter(fn: (r) => r[\"app\"]
== \"istiod\" \n or r[\"container\"] =~ /discovery/ \n or r[\"pod\"]
=~ /istiod-.*|istio-pilot-.*/)\n |> aggregateWindow(every: 1m, fn:
mean, createEmpty: false)\n |> filter(fn: (r) => exists r._value)\n
\ |> keep(columns: [\"_time\", \"_value\", \"_field\"])\n\nb = from(bucket:
v.bucket)\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n
\ |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\n |>
filter(fn: (r) => r[\"_field\"] == \"container_memory_working_set_bytes\")\n
\ |> filter(fn: (r) => r[\"container\"] =~ /discovery/ and r[\"pod\"]
=~ /istiod-.*|istio-pilot-.*/)\n |> aggregateWindow(every: 1m, fn:
mean, createEmpty: false)\n |> filter(fn: (r) => exists r._value)\n
\ |> keep(columns: [\"_time\", \"_value\", \"_field\"])\n\nunion(tables:
[a, b])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
yCol: _value
yPos: 4
- axes:
- label: ms
name: x
colors:
- hex: '#31C0F6'
id: ccc7bb26-480f-4908-be3f-34751f5fbd85
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 61ae7e4d-378f-4bdd-9a41-5ecd3c3ca4fe
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: af961e97-10bb-42c9-a004-0e5b1b267afe
name: Nineteen Eighty Four
type: scale
fillColumns:
- quantile
height: 2
kind: Histogram
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Proxy Push Time
position: stacked
queries:
- query: "import \"experimental/prometheus\"\n\nhistograms =\n from(bucket:
v.bucket)\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n
\ |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\n |>
filter(fn: (r) => r[\"_field\"] == \"pilot_proxy_convergence_time_bucket\")\n
\ |> filter(fn: (r) => exists r._value)\n |> aggregateWindow(every:
1m, fn: mean, createEmpty: false)\n \nunion(tables: [\n histograms
|> prometheus.histogramQuantile(quantile: 0.99),\n histograms |>
prometheus.histogramQuantile(quantile: 0.9),\n histograms |> prometheus.histogramQuantile(quantile:
0.5)\n])"
staticLegend: {}
width: 4
xCol: _value
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
label: kB / s
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: ccc7bb26-480f-4908-be3f-34751f5fbd85
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 61ae7e4d-378f-4bdd-9a41-5ecd3c3ca4fe
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: af961e97-10bb-42c9-a004-0e5b1b267afe
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: TX/RX Connection Bytes rate
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\nfrom(bucket: v.bucket)\n |>
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
(r) => r[\"_measurement\"] == \"prometheus\")\n |> filter(fn: (r)
=> \n r[\"_field\"] == \"envoy_cluster_upstream_cx_rx_bytes_total\"
and r[\"cluster_name\"] == \"xds-grpc\" or\n r[\"_field\"] == \"envoy_cluster_upstream_cx_tx_bytes_total\"
and r[\"cluster_name\"] == \"xds-grpc\"\n )\n |> aggregateWindow(every:
1m, fn: max)\n |> increase(columns: [\"_value\"])\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"_field\"])\n |> filter(fn: (r) =>
exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
yCol: _value
yPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: iB
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 2f1fa093-5837-42f4-bbef-705c62693672
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 6d707081-471a-4353-b325-9e1e1339646b
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 3767919c-7ad6-44c5-a94e-2bd5bd74f930
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Resource Usage - Disk
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "container_fs_usage_bytes")
|> filter(fn: (r) => (r["container"] == "discovery" and r["pod"] =~ /istiod-.*|istio-pilot-.*/) or (r["container"] == "istio-proxy" and r["pod"] =~ /istiod-.*|istio-pilot-.*/))
|> aggregateWindow(every: 1m, fn: mean, createEmpty: false)
|> filter(fn: (r) => exists r._value)
|> keep(columns: ["_time", "_value", "_field"])
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 4
yCol: _value
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 2f1fa093-5837-42f4-bbef-705c62693672
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 6d707081-471a-4353-b325-9e1e1339646b
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 3767919c-7ad6-44c5-a94e-2bd5bd74f930
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Resource Usage - Goroutines
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "go_goroutines")
|> filter(fn: (r) => r["app"] == "istiod")
|> aggregateWindow(every: 1m, fn: mean, createEmpty: false)
|> filter(fn: (r) => exists r._value)
|> keep(columns: ["_time", "_value", "_field"])
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 4
yCol: _value
yPos: 2
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
label: ops / s
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: ccc7bb26-480f-4908-be3f-34751f5fbd85
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 61ae7e4d-378f-4bdd-9a41-5ecd3c3ca4fe
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: af961e97-10bb-42c9-a004-0e5b1b267afe
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Pilot Pushes
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: |-
import "experimental/aggregate"
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "pilot_xds_pushes")
|> filter(fn: (r) => r["type"] =~ /cds|eds|lds|rds|sds|nds/)
|> increase()
|> aggregate.rate(every: 1m, unit: 1s, groupColumns: ["type"])
|> filter(fn: (r) => exists r._value)
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 4
yCol: _value
yPos: 4
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: ccc7bb26-480f-4908-be3f-34751f5fbd85
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 61ae7e4d-378f-4bdd-9a41-5ecd3c3ca4fe
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: af961e97-10bb-42c9-a004-0e5b1b267afe
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Sidecar Injection
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\nfrom(bucket: v.bucket)\n |>
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
(r) => r[\"_measurement\"] == \"prometheus\")\n |> filter(fn: (r)
=> \n r[\"_field\"] == \"sidecar_injection_success_total\" or\n
\ r[\"_field\"] == \"sidecar_injection_failure_total\"\n )\n |>
increase(columns: [\"_value\"])\n |> aggregate.rate(every: 1m, unit:
1s, groupColumns: [\"_field\"])\n |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 4
yCol: _value
yPos: 6
- colors:
- hex: '#ffffff'
id: base
name: white
type: text
decimalPlaces: 2
height: 1
kind: Single_Stat
name: RX connection bytes rate - 50th percentile
queries:
- query: "quantile = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => \r\n r[\"_field\"]
== \"envoy_cluster_upstream_cx_rx_bytes_total\" and r[\"cluster_name\"]
== \"xds-grpc\"\r\n )\r\n |> aggregateWindow(every: 1m, fn: max)\r\n
\ |> increase(columns: [\"_value\"])\r\n |> derivative(unit: 1s,
nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\r\n
\ |> quantile(column: \"_value\", q: 0.5, method: \"exact_mean\")\r\n
\ |> fill(column: \"_value\", usePrevious: true)\r\n |> yield(name:
\"quantile\")"
staticLegend: {}
suffix: ' kB/s'
width: 2
xPos: 4
yPos: 8
- colors:
- hex: '#ffffff'
id: base
name: white
type: text
decimalPlaces: 2
height: 1
kind: Single_Stat
name: TX connection bytes rate - 50th percentile
queries:
- query: "quantile = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => \r\n r[\"_field\"]
== \"envoy_cluster_upstream_cx_tx_bytes_total\" and r[\"cluster_name\"]
== \"xds-grpc\"\r\n )\r\n |> aggregateWindow(every: 1m, fn: max)\r\n
\ |> increase(columns: [\"_value\"])\r\n |> derivative(unit: 1s,
nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")\r\n
\ |> quantile(column: \"_value\", q: 0.5, method: \"exact_mean\")\r\n
\ |> fill(column: \"_value\", usePrevious: true)\r\n |> yield(name:
\"quantile\")"
staticLegend: {}
suffix: ' kB/s'
width: 2
xPos: 4
yPos: 9
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: ccc7bb26-480f-4908-be3f-34751f5fbd85
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 61ae7e4d-378f-4bdd-9a41-5ecd3c3ca4fe
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: af961e97-10bb-42c9-a004-0e5b1b267afe
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Configuration Validation
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\nfrom(bucket: v.bucket)\n |>
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
(r) => r[\"_measurement\"] == \"prometheus\")\n |> filter(fn: (r)
=> \n r[\"_field\"] == \"galley_validation_passed\" or\n r[\"_field\"]
== \"galley_validation_failed\"\n )\n |> increase(columns: [\"_value\"])\n
\ |> aggregate.rate(every: 1m, unit: 1s, groupColumns: [\"_field\"])\n
\ |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 2
widthRatio: 1
xCol: _time
xPos: 6
yCol: _value
yPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: ccc7bb26-480f-4908-be3f-34751f5fbd85
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 61ae7e4d-378f-4bdd-9a41-5ecd3c3ca4fe
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: af961e97-10bb-42c9-a004-0e5b1b267afe
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Pilot Errors
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\nrejects = from(bucket: v.bucket)\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
(r) => r[\"_measurement\"] == \"prometheus\")\n |> filter(fn: (r)
=> \n r[\"_field\"] == \"pilot_xds_cds_reject\" and r[\"app\"]
== \"istiod\" or\n r[\"_field\"] == \"pilot_xds_eds_reject\" and
r[\"app\"] == \"istiod\" or\n r[\"_field\"] == \"pilot_xds_rds_reject\"
and r[\"app\"] == \"istiod\" or\n r[\"_field\"] == \"pilot_xds_lds_reject\"
and r[\"app\"] == \"istiod\"\n )\n |> aggregateWindow(every: 1m,
fn: sum)\n |> filter(fn: (r) => exists r._value)\n\nrates = from(bucket:
v.bucket)\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n
\ |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\n |>
filter(fn: (r) => \n r[\"_field\"] == \"pilot_xds_write_timeout\"
and r[\"app\"] == \"istiod\" or\n r[\"_field\"] == \"pilot_total_xds_internal_errors\"
and r[\"app\"] == \"istiod\" or\n r[\"_field\"] == \"pilot_total_xds_rejects\"
and r[\"app\"] == \"istiod\" or\n r[\"_field\"] == \"pilot_xds_push_context_errors\"
and r[\"app\"] == \"istiod\"\n )\n |> aggregateWindow(every: 1m,
fn: sum)\n |> increase()\n |> aggregate.rate(every: 1m, unit: 1s,
groupColumns: [\"_field\"])\n |> filter(fn: (r) => exists r._value)\n\nunion(tables:
[rejects, rates])\n\n\n \n \n \n \n\n\n\n\n \n\n\n\n// sum(pilot_xds_cds_reject{app=\"istiod\"})
or exists(pilot_xds_cds_reject{app=\"istiod\"}) - 1)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 2f1fa093-5837-42f4-bbef-705c62693672
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 6d707081-471a-4353-b325-9e1e1339646b
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 3767919c-7ad6-44c5-a94e-2bd5bd74f930
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Pilot Conflicts
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "from(bucket: v.bucket)\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\n
\ |> filter(fn: (r) => \n r[\"_field\"] == \"pilot_conflict_inbound_listener\"
and r[\"app\"] == \"istiod\" or\n r[\"_field\"] == \"pilot_conflict_outbound_listener_http_over_current_tcp\"
and r[\"app\"] == \"istiod\" or\n r[\"_field\"] == \"pilot_conflict_outbound_listener_tcp_over_current_tcp\"
and r[\"app\"] == \"istiod\" or\n r[\"_field\"] == \"pilot_conflict_outbound_listener_tcp_over_current_http\"
and r[\"app\"] == \"istiod\")\n |> aggregateWindow(every: 1m, fn:
sum)\n |> filter(fn: (r) => exists r._value)\n |> keep(columns:
[\"_time\", \"_value\", \"_field\"])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 8
yCol: _value
yPos: 2
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: ccc7bb26-480f-4908-be3f-34751f5fbd85
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 61ae7e4d-378f-4bdd-9a41-5ecd3c3ca4fe
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: af961e97-10bb-42c9-a004-0e5b1b267afe
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: ADS Monitoring
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\nfrom(bucket: v.bucket)\n |>
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
(r) => r[\"_measurement\"] == \"prometheus\")\n |> filter(fn: (r)
=> \n r[\"_field\"] == \"pilot_virt_services\" and r[\"app\"] ==
\"istiod\" or \n r[\"_field\"] == \"pilot_services\" and r[\"app\"]
== \"istiod\" or \n r[\"_field\"] == \"pilot_xds\" and r[\"app\"]
== \"istiod\"\n )\n |> group(columns: [\"_field\", \"pod\"], mode:\"by\")\n
\ |> aggregateWindow(every: 1m, fn: mean)\n |> filter(fn: (r) =>
exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 8
yCol: _value
yPos: 4
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
label: ops / s
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: ccc7bb26-480f-4908-be3f-34751f5fbd85
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 61ae7e4d-378f-4bdd-9a41-5ecd3c3ca4fe
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: af961e97-10bb-42c9-a004-0e5b1b267afe
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Envoy Details
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\nupstream = from(bucket: v.bucket)\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
(r) => r[\"_measurement\"] == \"prometheus\")\n |> filter(fn: (r)
=> \n r[\"_field\"] == \"envoy_cluster_upstream_cx_total\" and
r[\"cluster_name\"] == \"xds-grpc\" or \n r[\"_field\"] == \"envoy_cluster_upstream_cx_connect_fail\"
and r[\"cluster_name\"] == \"xds-grpc\"\n )\n |> aggregateWindow(every:
1m, fn: sum)\n |> increase(columns: [\"_value\"])\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"_field\"])\n |> group(columns: [\"_field\"],
mode:\"by\")\n\nrestarts = from(bucket: v.bucket)\n |> range(start:
v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\n |> filter(fn: (r) => \n r[\"_field\"] ==
\"envoy_server_hot_restart_epoch\"\n )\n |> group(columns: [\"_field\"],
mode:\"by\")\n |> aggregateWindow(every: 1m, fn: sum)\n |> filter(fn:
(r) => exists r._value)\n\nunion(tables: [upstream, restarts])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 8
yCol: _value
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: ccc7bb26-480f-4908-be3f-34751f5fbd85
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 61ae7e4d-378f-4bdd-9a41-5ecd3c3ca4fe
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: af961e97-10bb-42c9-a004-0e5b1b267afe
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: XDS Active Connections
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "from(bucket: v.bucket)\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\n
\ |> filter(fn: (r) => \n r[\"_field\"] == \"envoy_cluster_upstream_cx_active\"
and r[\"cluster_name\"] == \"xds-grpc\"\n )\n |> group(columns:
[\"_field\"], mode:\"by\")\n |> aggregateWindow(every: 1m, fn: sum)\n
\ |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 8
yCol: _value
yPos: 8
description: The control plane manages and configures the proxies to route traffic.
name: Istio Control Plane Dashboard
---
apiVersion: influxdata.com/v2alpha1
kind: Dashboard
metadata:
name: great-grothendieck-5ed001
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
charts:
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
label: ops/s
name: "y"
scale: linear
colorizeRows: true
colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 2
height: 2
hoverDimension: auto
kind: Single_Stat_Plus_Line
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Global Request Volume
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"source\")\r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 1m, unit: 1s, groupColumns: [\"_field\"])\r\n
\ |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
suffix: ' ops/s'
width: 4
widthRatio: 1
xCol: _time
yCol: _value
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
colorizeRows: true
colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 0
height: 2
hoverDimension: auto
kind: Single_Stat_Plus_Line
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Global Success Rate (non-5xx responses)
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nfivehundreds = from(bucket:
v.bucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n
\ |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n
\ |> filter(fn: (r) => r[\"_field\"] == \"istio_requests_total\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn:
(r) => r[\"response_code\"] !~ /5.*/)\r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 1m, unit: 1s, groupColumns: [\"_field\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nall = from(bucket:
v.bucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n
\ |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n
\ |> filter(fn: (r) => r[\"_field\"] == \"istio_requests_total\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"source\")\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"_field\"])\r\n |> filter(fn: (r) => exists r._value)\r\n \r\n\r\njoin(tables:
{fh:fivehundreds, a:all}, on: [\"_time\", \"_start\", \"_stop\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_fh
/ r._value_a) * 100.0\r\n })\r\n )"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
suffix: ' %'
width: 4
widthRatio: 1
xCol: _time
yCol: _value
yPos: 2
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: d84fa53d-936c-436d-9158-db77ee6bece6
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: ef10540d-61e6-4c94-bdf7-dcbbf6ad640e
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 77af5ea1-8f84-48e2-9673-67c02437f36b
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Request Rate by Workload
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn: (r) => r[\"response_code\"]
== \"200\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"_field\", \"destination_workload\",
\"destination_workload_namespace\"])\r\n |> filter(fn: (r) => exists
r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
yCol: _value
yPos: 4
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: d84fa53d-936c-436d-9158-db77ee6bece6
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: ef10540d-61e6-4c94-bdf7-dcbbf6ad640e
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 77af5ea1-8f84-48e2-9673-67c02437f36b
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Success Rate By Workload
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfivehundreds = from(bucket:
v.bucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n
\ |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n
\ |> filter(fn: (r) => r[\"_field\"] == \"istio_requests_total\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn:
(r) => r[\"response_code\"] !~ /5.*/)\r\n |> aggregateWindow(every:
1m, fn: max)\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"_field\", \"destination_workload\",
\"destination_workload_namespace\"])\r\n |> filter(fn: (r) => exists
r._value)\r\n\r\nall = from(bucket: v.bucket)\r\n |> range(start:
v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) =>
r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"]
== \"istio_requests_total\")\r\n |> filter(fn: (r) => r[\"reporter\"]
== \"source\")\r\n |> aggregateWindow(every: 1m, fn: max)\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 1m,
unit: 1s, groupColumns: [\"_field\", \"destination_workload\", \"destination_workload_namespace\"])
\ \r\n |> filter(fn: (r) => exists r._value)\r\n\r\njoin(tables:
{fh:fivehundreds, a:all}, on: [\"_time\", \"_start\", \"_stop\", \"destination_workload\",
\"destination_workload_namespace\"])\r\n |> map(fn: (r) => ({\r\n
\ _time: r._time,\r\n _value: (r._value_fh / r._value_a) * 100.0,\r\n
\ destination_workload: r.destination_workload,\r\n destination_workload_namespace:
r.destination_workload_namespace\r\n }))"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
yCol: _value
yPos: 6
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Virtual Services
queries:
- query: "pivot = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"pilot_k8s_cfg_events\"
and\r\n r[\"type\"] == \"VirtualService\"\r\n )\r\n |> filter(fn:
(r) => r[\"event\"] == \"delete\" or r[\"event\"] == \"add\")\r\n
\ |> aggregateWindow(every: 1m, fn: max)\r\n |> filter(fn: (r) =>
exists r._value)\r\n |> pivot(\r\n rowKey:[\"_time\"],\r\n columnKey:
[\"event\"],\r\n valueColumn: \"_value\"\r\n )\r\n |> map(fn:
(r) => ({ r with\r\n _value: r.add - (if exists r.delete then r.delete
else 0.0)\r\n }))\r\n |> yield(name: \"pivot\")"
staticLegend: {}
width: 1
xPos: 4
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Service Entries
queries:
- query: "pivot = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"pilot_k8s_cfg_events\"
and\r\n r[\"type\"] == \"ServiceEntry\"\r\n )\r\n |> filter(fn:
(r) => r[\"event\"] == \"delete\" or r[\"event\"] == \"add\")\r\n
\ |> aggregateWindow(every: 1m, fn: max)\r\n |> filter(fn: (r) =>
exists r._value)\r\n |> pivot(\r\n rowKey:[\"_time\"],\r\n columnKey:
[\"event\"],\r\n valueColumn: \"_value\"\r\n )\r\n |> map(fn:
(r) => ({ r with\r\n _value: r.add - (if exists r.delete then r.delete
else 0.0)\r\n }))\r\n |> yield(name: \"pivot\")"
staticLegend: {}
width: 1
xPos: 4
yPos: 1
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Peer Authentication Policies
queries:
- query: "pivot = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"pilot_k8s_cfg_events\"
and\r\n r[\"type\"] == \"PeerAuthentication\"\r\n )\r\n |> filter(fn:
(r) => r[\"event\"] == \"delete\" or r[\"event\"] == \"add\")\r\n
\ |> aggregateWindow(every: 1m, fn: max)\r\n |> filter(fn: (r) =>
exists r._value)\r\n |> pivot(\r\n rowKey:[\"_time\"],\r\n columnKey:
[\"event\"],\r\n valueColumn: \"_value\"\r\n )\r\n |> map(fn:
(r) => ({ r with\r\n _value: r.add - (if exists r.delete then r.delete
else 0.0)\r\n }))\r\n |> yield(name: \"pivot\")"
staticLegend: {}
width: 1
xPos: 4
yPos: 2
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Request Authentication Policies
queries:
- query: "pivot = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"pilot_k8s_cfg_events\"
and\r\n r[\"type\"] == \"RequestAuthentication\"\r\n )\r\n |> filter(fn:
(r) => r[\"event\"] == \"delete\" or r[\"event\"] == \"add\")\r\n
\ |> aggregateWindow(every: 1m, fn: max)\r\n |> filter(fn: (r) =>
exists r._value)\r\n |> pivot(\r\n rowKey:[\"_time\"],\r\n columnKey:
[\"event\"],\r\n valueColumn: \"_value\"\r\n )\r\n |> map(fn:
(r) => ({ r with\r\n _value: r.add - (if exists r.delete then r.delete
else 0.0)\r\n }))\r\n |> yield(name: \"pivot\")"
staticLegend: {}
width: 1
xPos: 4
yPos: 3
- axes:
- label: s
name: x
colors:
- hex: '#31C0F6'
id: 96240091-5d92-4dce-8d04-6a11bd48671b
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 4391eb13-082a-4d61-8cd0-5244a014fd1d
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 4fd32bc5-507a-4c59-a48c-ad7fc12411d1
name: Nineteen Eighty Four
type: scale
fillColumns:
- _start
- _stop
- destination_workload
- destination_workload_namespace
- quantile
height: 4
kind: Histogram
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Latency Percentile by Workload
position: stacked
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nhistograms
=\r\n from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
or r[\"_field\"] == \"istio_request_duration_seconds_bucket\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"source\")\r\n |> map(fn:
(r) => ({ r with le: if r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
then float(v: r.le) / 1000.0 else float(v: r.le) })) \r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"le\", \"destination_workload\", \"destination_workload_namespace\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n \r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5)\r\n])"
staticLegend: {}
width: 6
xCol: _value
xPos: 4
yPos: 4
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Destination Rules
queries:
- query: "pivot = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"pilot_k8s_cfg_events\"
and\r\n r[\"type\"] == \"DestinationRule\"\r\n )\r\n |> filter(fn:
(r) => r[\"event\"] == \"delete\" or r[\"event\"] == \"add\")\r\n
\ |> aggregateWindow(every: 1m, fn: max)\r\n |> filter(fn: (r) =>
exists r._value)\r\n |> pivot(\r\n rowKey:[\"_time\"],\r\n columnKey:
[\"event\"],\r\n valueColumn: \"_value\"\r\n )\r\n |> map(fn:
(r) => ({ r with\r\n _value: r.add - (if exists r.delete then r.delete
else 0.0)\r\n }))\r\n |> yield(name: \"pivot\")"
staticLegend: {}
width: 1
xPos: 5
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Gateways
queries:
- query: "pivot = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"pilot_k8s_cfg_events\"
and\r\n r[\"type\"] == \"Gateway\"\r\n )\r\n |> filter(fn: (r)
=> r[\"event\"] == \"delete\" or r[\"event\"] == \"add\")\r\n |>
aggregateWindow(every: 1m, fn: max)\r\n |> filter(fn: (r) => exists
r._value)\r\n |> pivot(\r\n rowKey:[\"_time\"],\r\n columnKey:
[\"event\"],\r\n valueColumn: \"_value\"\r\n )\r\n |> map(fn:
(r) => ({ r with\r\n _value: r.add - (if exists r.delete then r.delete
else 0.0)\r\n }))\r\n |> yield(name: \"pivot\")"
staticLegend: {}
width: 1
xPos: 5
yPos: 1
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Workload Entries
queries:
- query: "pivot = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"pilot_k8s_cfg_events\"
and\r\n r[\"type\"] == \"WorkloadEntry\"\r\n )\r\n |> filter(fn:
(r) => r[\"event\"] == \"delete\" or r[\"event\"] == \"add\")\r\n
\ |> aggregateWindow(every: 1m, fn: max)\r\n |> filter(fn: (r) =>
exists r._value)\r\n |> pivot(\r\n rowKey:[\"_time\"],\r\n columnKey:
[\"event\"],\r\n valueColumn: \"_value\"\r\n )\r\n |> map(fn:
(r) => ({ r with\r\n _value: r.add - (if exists r.delete then r.delete
else 0.0)\r\n }))\r\n |> yield(name: \"pivot\")"
staticLegend: {}
width: 1
xPos: 5
yPos: 2
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Authorization Policy Policies
queries:
- query: "pivot = from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart,
stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"]
== \"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"pilot_k8s_cfg_events\"
and\r\n r[\"type\"] == \"AuthorizationPolicy\"\r\n )\r\n |> filter(fn:
(r) => r[\"event\"] == \"delete\" or r[\"event\"] == \"add\")\r\n
\ |> aggregateWindow(every: 1m, fn: max)\r\n |> filter(fn: (r) =>
exists r._value)\r\n |> pivot(\r\n rowKey:[\"_time\"],\r\n columnKey:
[\"event\"],\r\n valueColumn: \"_value\"\r\n )\r\n |> map(fn:
(r) => ({ r with\r\n _value: r.add - (if exists r.delete then r.delete
else 0.0)\r\n }))\r\n |> yield(name: \"pivot\")"
staticLegend: {}
width: 1
xPos: 5
yPos: 3
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
label: 'ops / s '
name: "y"
scale: linear
colorizeRows: true
colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 2
height: 2
hoverDimension: auto
kind: Single_Stat_Plus_Line
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: 4XXs
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn: (r) => r[\"response_code\"]
=~ /4.*/)\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"_field\"])\r\n |> filter(fn: (r) =>
exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
suffix: ' ops/s'
width: 4
widthRatio: 1
xCol: _time
xPos: 6
yCol: _value
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
label: 'ops / s '
name: "y"
scale: linear
colorizeRows: true
colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 2
height: 2
hoverDimension: auto
kind: Single_Stat_Plus_Line
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: 5XXs
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn: (r) => r[\"response_code\"]
=~ /5.*/)\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"_field\"])\r\n |> filter(fn: (r) =>
exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
suffix: ' ops/s'
width: 4
widthRatio: 1
xPos: 6
yPos: 2
description: The global view of the Mesh along with services and workloads in
the mesh.
name: ' Istio Mesh Dashboard'
---
apiVersion: influxdata.com/v2alpha1
kind: Dashboard
metadata:
name: magical-antonelli-5ed001
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
charts:
- height: 1
kind: Markdown
name: Name this Cell (Clone) (Clone) (Clone)
note: '## **vCPU Usage**'
staticLegend: {}
width: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 1d828f59-ce6e-481f-98ce-6a0b3ba4082e
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: d06f569a-bbcc-4078-86ca-e5689e4c442a
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 8a563569-5d25-4682-a5e5-151840c78ca8
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: vCPU / 1k rps
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nmm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n\r\na
= mm\r\n |> filter(fn: (r) => r[\"_field\"] == \"container_cpu_usage_seconds_total\")\r\n
\ |> filter(fn: (r) => r[\"container\"] == \"istio-proxy\")\r\n |>
filter(fn: (r) => r[\"pod\"] =~ /istio-ingressgateway-.*/)\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 1m,
unit: 1s, groupColumns: [\"_field\"])\r\n |> filter(fn: (r) => exists
r._value)\r\n\r\nb = mm\r\n |> filter(fn: (r) => r[\"_field\"] ==
\"istio_requests_total\")\r\n |> filter(fn: (r) => r[\"source_workload\"]
== \"istio-ingressgateway\")\r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 1m, unit: 1s, groupColumns: [\"_field\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n |> map(fn: (r) => ({
r with _value: r._value / 1000.0 }))\r\n\r\njoin(tables: {a:a, b:b},
on: [\"_time\"])\r\n |> map(fn: (r) => ({\r\n _time: r._time,\r\n
\ _value: r._value_a / r._value_b\r\n })\r\n )"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
yCol: _value
yPos: 1
- height: 1
kind: Markdown
name: Name this Cell (Clone) (Clone) (Clone)
note: '## **Istio Component Versions**'
staticLegend: {}
width: 6
yPos: 3
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 1d828f59-ce6e-481f-98ce-6a0b3ba4082e
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: d06f569a-bbcc-4078-86ca-e5689e4c442a
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 8a563569-5d25-4682-a5e5-151840c78ca8
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Istio Components by Version
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_build\")\r\n |> group(columns: [\"component\",
\"tag\"], mode:\"by\")\r\n |> aggregateWindow(every: 1m, fn: sum)\r\n
\ |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 6
widthRatio: 1
xCol: _time
yCol: _value
yPos: 4
- height: 1
kind: Markdown
name: Name this Cell
note: '## **Proxy Resource Usage**'
staticLegend: {}
width: 6
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: iB
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 1d828f59-ce6e-481f-98ce-6a0b3ba4082e
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: d06f569a-bbcc-4078-86ca-e5689e4c442a
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 8a563569-5d25-4682-a5e5-151840c78ca8
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Memory
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"container_memory_working_set_bytes\")\r\n
\ |> filter(fn: (r) => r[\"container\"] == \"istio-proxy\")\r\n |>
group(columns: [\"_field\"], mode:\"by\")\r\n |> aggregateWindow(every:
1m, fn: sum)\r\n |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
yCol: _value
yPos: 7
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: iB
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 1d828f59-ce6e-481f-98ce-6a0b3ba4082e
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: d06f569a-bbcc-4078-86ca-e5689e4c442a
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 8a563569-5d25-4682-a5e5-151840c78ca8
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Disk
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"container_fs_usage_bytes\")\r\n |> filter(fn:
(r) => r[\"container\"] == \"istio-proxy\")\r\n |> group(columns:
[\"_field\"], mode:\"by\")\r\n |> aggregateWindow(every: 1m, fn:
sum)\r\n |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
yCol: _value
yPos: 9
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kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: vCPU
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"container_cpu_usage_seconds_total\")\r\n
\ |> filter(fn: (r) => r[\"container\"] == \"istio-proxy\" and r[\"pod\"]
=~ /istio-ingressgateway-.*/\r\n or r[\"namespace\"] != \"istio-system\"
and r[\"container\"] == \"istio-proxy\")\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"_field\"])\r\n |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 3
yCol: _value
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- axes:
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scale: linear
- base: "2"
name: "y"
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colorMapping: {}
colorizeRows: true
colors:
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height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: vCPU
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"container_cpu_usage_seconds_total\")\r\n
\ |> filter(fn: (r) => r[\"container\"] == \"istio-proxy\")\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 1m,
unit: 1s)\r\n |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 3
yCol: _value
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- height: 1
kind: Markdown
name: Name this Cell (Clone) (Clone)
note: '## **Memory and Data Rates**'
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queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"container_memory_working_set_bytes\")\r\n\r\na
= m\r\n |> filter(fn: (r) => r[\"pod\"] =~ /istio-ingressgateway-.*/
\r\n or r[\"namespace\"] != \"istio-system\" and r[\"container\"]
== \"istio-proxy\")\r\n |> group(columns: [\"_field\"], mode:\"by\")\r\n
\ |> aggregateWindow(every: 1m, fn: sum)\r\n |> filter(fn: (r) =>
exists r._value)\r\n\r\nb = m\r\n |> filter(fn: (r) => r[\"pod\"]
=~ /istio-ingressgateway-.*/ and r[\"container\"] != \"POD\" \r\n
\ or r[\"namespace\"] != \"istio-system\" and r[\"container\"] ==
\"istio-proxy\")\r\n |> group(columns: [\"_field\"], mode:\"by\")\r\n
\ |> aggregateWindow(every: 1m, fn: count)\r\n |> filter(fn: (r)
=> exists r._value)\r\n\r\n\r\njoin(tables: {a:a, b:b}, on: [\"_time\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: float(v:
r._value_a) / float(v: r._value_b)\r\n })\r\n )"
staticLegend:
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widthRatio: 1
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widthRatio: 1
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xPos: 6
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- height: 1
kind: Markdown
name: Name this Cell (Clone)
note: '## **Istiod Resource Usage**'
staticLegend: {}
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kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Memory
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\na = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"process_virtual_memory_bytes\"\r\n or
r[\"_field\"] == \"process_virtual_memory_bytes\"\r\n or r[\"_field\"]
== \"process_resident_memory_bytes\"\r\n or r[\"_field\"] == \"go_memstats_heap_sys_bytes\"\r\n
\ or r[\"_field\"] == \"go_memstats_heap_alloc_bytes\"\r\n or
r[\"_field\"] == \"go_memstats_alloc_bytes\"\r\n or r[\"_field\"]
== \"go_memstats_heap_inuse_bytes\"\r\n or r[\"_field\"] == \"go_memstats_stack_inuse_bytes\")\r\n
\ |> filter(fn: (r) => r[\"app\"] == \"istiod\")\r\n |> aggregateWindow(every:
1m, fn: mean)\r\n |> filter(fn: (r) => exists r._value)\r\n |> keep(columns:
[\"_time\", \"_value\", \"_field\"])\r\n\r\nb = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"container_memory_working_set_bytes\")\r\n
\ |> filter(fn: (r) => r[\"container\"] =~ /discovery|istio-proxy/)\r\n
\ |> filter(fn: (r) => r[\"pod\"] =~ /istiod-.*/)\r\n |> aggregateWindow(every:
1m, fn: mean)\r\n |> filter(fn: (r) => exists r._value)\r\n |> keep(columns:
[\"_time\", \"_value\", \"_field\"])\r\n\r\nunion(tables: [a, b])"
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scale: linear
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colorMapping: {}
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hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: vCPU
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n\r\ncontainer_cpu_usage_seconds
= m\r\n |> filter(fn: (r) => r[\"_field\"] == \"container_cpu_usage_seconds_total\")\r\n
\ |> filter(fn: (r) => r[\"container\"] =~ /discovery|istio-proxy/)\r\n
\ |> filter(fn: (r) => r[\"pod\"] =~ /istiod-.*/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s)\r\n |>
filter(fn: (r) => exists r._value)\r\n |> yield(name: \"container_cpu_usage_seconds\")\r\n\r\ncontainer_cpu_usage_seconds_by_container
= m\r\n |> filter(fn: (r) => r[\"_field\"] == \"container_cpu_usage_seconds_total\")\r\n
\ |> filter(fn: (r) => r[\"container\"] =~ /discovery|istio-proxy/)\r\n
\ |> filter(fn: (r) => r[\"pod\"] =~ /istiod-.*/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"container\"])\r\n |> filter(fn: (r) => exists r._value)\r\n |>
yield(name: \"container_cpu_usage_seconds_by_container\")\r\n\r\n\r\nprocess_cpu_seconds
= m\r\n |> filter(fn: (r) => r[\"_field\"] == \"process_cpu_seconds_total\")\r\n
\ |> filter(fn: (r) => r[\"app\"] == \"istiod\")\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s)\r\n |>
filter(fn: (r) => exists r._value)\r\n |> yield(name: \"process_cpu_seconds\")"
staticLegend:
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xCol: _time
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name: Bytes transferred / sec
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queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n\r\nres
= m\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_response_bytes_sum\")\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == \"istio-ingressgateway\"
and r[\"reporter\"] == \"source\")\r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 1m, unit: 1s)\r\n |> filter(fn: (r) =>
exists r._value)\r\n |> yield(name: \"res\")\r\n\r\nres_req = m\r\n
\ |> filter(fn: (r) => r[\"_field\"] == \"istio_response_bytes_sum\"
or r[\"_field\"] == \"istio_request_bytes_sum\")\r\n |> filter(fn:
(r) => r[\"source_workload_namespace\"] != \"istio-system\" and r[\"reporter\"]
== \"source\")\r\n |> pivot(\r\n rowKey:[\"_time\"],\r\n columnKey:
[\"_field\"],\r\n valueColumn: \"_value\"\r\n )\r\n |> map(fn:
(r) => ({ r with _value: float(v: r.istio_response_bytes_sum) + float(v:
r.istio_request_bytes_sum)\r\n }))\r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 1m, unit: 1s)\r\n |> filter(fn: (r) =>
exists r._value)\r\n |> yield(name: \"res_req\")"
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name: Disk
opacity: 1
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position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"container_fs_usage_bytes\")\r\n |> filter(fn:
(r) => r[\"container\"] =~ /discovery|istio-proxy/)\r\n |> filter(fn:
(r) => r[\"pod\"] =~ /istiod-.*/)\r\n |> group(columns: [\"_field\"],
mode:\"by\")\r\n |> aggregateWindow(every: 1m, fn: sum)\r\n |> filter(fn:
(r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
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xCol: _time
xPos: 9
yCol: _value
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kind: Xy
legendColorizeRows: true
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name: Goroutines
opacity: 1
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position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"go_goroutines\")\r\n |> filter(fn: (r)
=> r[\"app\"] == \"istiod\")\r\n |> group(columns: [\"_field\"],
mode:\"by\")\r\n |> aggregateWindow(every: 1m, fn: sum)\r\n |> filter(fn:
(r) => exists r._value)"
staticLegend:
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description: The charts on this dashboard are intended to show Istio main components
cost in terms of resources utilization under steady load
name: Istio Performance Dashboard
---
apiVersion: influxdata.com/v2alpha1
kind: Dashboard
metadata:
name: musing-robinson-1ed001
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
charts:
- height: 1
kind: Markdown
name: Name this Cell (Clone)
note: '## **General**'
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suffix: ' ops/s'
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colorizeRows: true
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geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Client Request Volume
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_service\"] == v.service)\r\n |> filter(fn:
(r) => r[\"reporter\"] =~ /source|destination/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s, groupColumns:
[\"reporter\"])\r\n |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
yCol: _value
yPos: 1
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name: x
scale: linear
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name: "y"
scale: linear
suffix: ' ops/s'
colorMapping: {}
colorizeRows: true
colors:
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id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
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geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Server Request Volume
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_service\"] == v.service)\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"destination\")\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s)\r\n |>
filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
yPos: 3
- height: 1
kind: Markdown
name: Name this Cell
note: '## **Client Workloads**'
staticLegend: {}
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- base: "2"
name: "y"
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suffix: ' ops/s'
colorMapping: {}
colorizeRows: true
colors:
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type: scale
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id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Requests By Source And Response Code
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_service\"] == v.service)\r\n |> filter(fn:
(r) => r[\"source_workload\"] == v.client_workload)\r\n |> filter(fn:
(r) => r[\"source_workload_namespace\"] == v.client_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n\r\ntls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: e45eed79-50ee-4e17-8668-d4942b7c6cc9
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Request Duration By Source
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
or r[\"_field\"] == \"istio_request_duration_seconds_bucket\")\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.client_workload)\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.client_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> map(fn: (r) => ({ r with le: if r[\"_field\"]
== \"istio_request_duration_milliseconds_bucket\" then float(v: r.le)
/ 1000.0 else float(v: r.le) })) \r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> map(fn: (r) => ({ r with le: if r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
then float(v: r.le) / 1000.0 else float(v: r.le) })) \r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
yCol: _value
yPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: B
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: e45eed79-50ee-4e17-8668-d4942b7c6cc9
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Response Size By Source
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_response_bytes_bucket\")\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.client_workload)\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.client_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
yCol: _value
yPos: 10
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' B/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 2276c6b9-69b3-411f-966b-43f6ba2d301d
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Bytes Sent to Incoming TCP Connection
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_sent_bytes_total\")\r\n |> filter(fn:
(r) => r[\"destination_service\"] == v.service)\r\n |> filter(fn:
(r) => r[\"source_workload\"] == v.client_workload)\r\n |> filter(fn:
(r) => r[\"source_workload_namespace\"] == v.client_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n\r\ntls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
yCol: _value
yPos: 12
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
suffix: ' %'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
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- hex: '#A500A5'
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name: Nineteen Eighty Four
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- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Client Success Rate (non-5xx responses)
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_service\"] == v.service)\r\n |> filter(fn:
(r) => r[\"reporter\"] =~ /source|destination/)\r\n\r\nfivehundreds
= m\r\n |> filter(fn: (r) => r[\"response_code\"] !~ /5.*/)\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 5m,
unit: 1s, groupColumns: [\"reporter\"])\r\n |> filter(fn: (r) =>
exists r._value)\r\n\r\nall = m\r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 5m, unit: 1s, groupColumns: [\"reporter\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n \r\n\r\njoin(tables:
{fh:fivehundreds, a:all}, on: [\"_time\", \"_start\", \"_stop\", \"reporter\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_fh
/ r._value_a) * 100.0,\r\n reporter: r.reporter\r\n })\r\n )"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 3
yCol: _value
yPos: 1
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
suffix: ' %'
colorMapping: {}
colorizeRows: true
colors:
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name: Nineteen Eighty Four
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height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Server Success Rate (non-5xx responses)
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_service\"] == v.service)\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"destination\")\r\n\r\nfivehundreds = m\r\n
\ |> filter(fn: (r) => r[\"response_code\"] !~ /5.*/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s)\r\n |>
filter(fn: (r) => exists r._value)\r\n\r\nall = m\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s)\r\n |>
filter(fn: (r) => exists r._value)\r\n \r\n\r\njoin(tables: {fh:fivehundreds,
a:all}, on: [\"_time\",\"_start\", \"_stop\"])\r\n |> map(fn: (r)
=> ({\r\n _time: r._time,\r\n _value: (r._value_fh / r._value_a)
* 100.0\r\n })\r\n )"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xPos: 3
yPos: 3
- axes:
- base: "10"
name: x
scale: linear
- name: "y"
scale: linear
suffix: ' %'
colorMapping: {}
colorizeRows: true
colors:
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id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 2276c6b9-69b3-411f-966b-43f6ba2d301d
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Success Rate (non-5xx responses) By Source
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_service\"] == v.service)\r\n |> filter(fn:
(r) => r[\"source_workload\"] == v.client_workload)\r\n |> filter(fn:
(r) => r[\"source_workload_namespace\"] == v.client_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n\r\nnon_5xx_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> filter(fn: (r) => r[\"response_code\"] !~
/5.*/)\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nall_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] == \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\na = join(tables: {non_5xx_tls:non_5xx_tls,
all_tls:all_tls}, on: [\"_time\",\"_start\",\"_stop\",\"response_code\",\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_non_5xx_tls
/ r._value_all_tls) * 100.0,\r\n reporter: r.reporter,\r\n response_code:
r.response_code,\r\n connection_security_policy: r.connection_security_policy,\r\n
\ source_workload_namespace: r.source_workload_namespace,\r\n source_workload:
r.source_workload\r\n })\r\n )\r\n\r\nnon_5xx = m\r\n |> filter(fn:
(r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n |>
filter(fn: (r) => r[\"response_code\"] !~ /5.*/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s, groupColumns:
[\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nall = m\r\n |> filter(fn:
(r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 5m,
unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nb = join(tables: {non_5xx:non_5xx,
all:all}, on: [\"_time\",\"_start\",\"_stop\",\"response_code\",\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_non_5xx
/ r._value_all) * 100.0,\r\n reporter: r.reporter,\r\n response_code:
r.response_code,\r\n connection_security_policy: r.connection_security_policy,\r\n
\ source_workload_namespace: r.source_workload_namespace,\r\n source_workload:
r.source_workload\r\n })\r\n )\r\n\r\nunion(tables: [a, b])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 3
yCol: _value
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: B
colorMapping: {}
colorizeRows: true
colors:
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id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
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name: Nineteen Eighty Four
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id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Request Size By Source
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_request_bytes_bucket\")\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.client_workload)\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.client_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
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yCol: _value
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- axes:
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scale: linear
- base: "2"
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legendColorizeRows: true
legendOpacity: 1
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name: Bytes Received from Incoming TCP Connection
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_received_bytes_total\")\r\n |>
filter(fn: (r) => r[\"destination_service\"] == v.service)\r\n |>
filter(fn: (r) => r[\"source_workload\"] == v.client_workload)\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.client_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n\r\ntls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
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legendColorizeRows: true
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legendOrientationThreshold: 1e+08
name: Client Request Duration
opacity: 1
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position: overlaid
queries:
- query: "import \"experimental\"\r\nimport \"experimental/aggregate\"\r\nimport
\"experimental/prometheus\"\r\n\r\nhistograms =\r\n from(bucket:
v.bucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n
\ |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n
\ |> filter(fn: (r) => r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
or r[\"_field\"] == \"istio_request_duration_seconds_bucket\")\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n
\ |> map(fn: (r) => ({ r with le: if r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
then float(v: r.le) / 1000.0 else float(v: r.le) })) \r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"le\",\"reporter\"])\r\n\r\n |> filter(fn: (r) => exists r._value)\r\nunion(tables:
[\r\n histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5)\r\n])"
staticLegend:
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legendOrientationThreshold: 1e+08
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position: overlaid
queries:
- query: "import \"experimental\"\r\nimport \"experimental/aggregate\"\r\nimport
\"experimental/prometheus\"\r\n\r\nhistograms =\r\n from(bucket:
v.bucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n
\ |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n
\ |> filter(fn: (r) => r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
or r[\"_field\"] == \"istio_request_duration_seconds_bucket\")\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"destination\")\r\n |>
map(fn: (r) => ({ r with le: if r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
then float(v: r.le) / 1000.0 else float(v: r.le) })) \r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"le\"])\r\n\r\n |> filter(fn: (r) => exists r._value)\r\nunion(tables:
[\r\n histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5)\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
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widthRatio: 1
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yPos: 3
- height: 1
kind: Markdown
name: Name this Cell (Clone)
note: '## **Service Workloads**'
staticLegend: {}
width: 6
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- axes:
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opacity: 1
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position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"destination\")\r\n |> filter(fn: (r)
=> r[\"destination_workload_namespace\"] == v.service_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.service_workload)\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service) \r\n\r\nprinc
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"destination_workload\",\"destination_workload_namespace\",\"response_code\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nno_princ = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"destination_workload\",\"destination_workload_namespace\",\"response_code\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\n\r\nunion(tables: [princ,
no_princ])"
staticLegend:
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opacity: 1
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widthRatio: 1
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- axes:
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scale: linear
- base: "2"
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scale: linear
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colorMapping: {}
colorizeRows: true
colors:
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legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Request Duration By Service Workload
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
or r[\"_field\"] == \"istio_request_duration_seconds_bucket\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"destination\")\r\n |>
filter(fn: (r) => r[\"destination_workload_namespace\"] == v.service_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.service_workload)\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service) \r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> map(fn: (r) => ({ r with le: if r[\"_field\"]
== \"istio_request_duration_milliseconds_bucket\" then float(v: r.le)
/ 1000.0 else float(v: r.le) })) \r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> map(fn: (r) => ({ r with le: if r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
then float(v: r.le) / 1000.0 else float(v: r.le) })) \r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"reporter\",\"le\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
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- axes:
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name: x
scale: linear
- base: "2"
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scale: linear
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colorMapping: {}
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kind: Xy
legendColorizeRows: true
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name: Response Size By Service Workload
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_response_bytes_bucket\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"destination\")\r\n |>
filter(fn: (r) => r[\"destination_workload_namespace\"] == v.service_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.service_workload)\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service) \r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
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opacity: 1
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queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_sent_bytes_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"destination\")\r\n |> filter(fn: (r)
=> r[\"destination_workload_namespace\"] == v.service_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.service_workload)\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service) \r\n\r\ntls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
staticLegend:
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queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_received_bytes_total\")\r\n |>
filter(fn: (r) => r[\"destination_service\"] == v.service)\r\n |>
filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 1m,
unit: 1s, groupColumns: [\"reporter\"])\r\n |> filter(fn: (r) =>
exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
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yCol: _value
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scale: linear
- base: "10"
name: "y"
scale: linear
suffix: ' B/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
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type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: TCP Sent Bytes
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_sent_bytes_total\")\r\n |> filter(fn:
(r) => r[\"destination_service\"] == v.service)\r\n |> filter(fn:
(r) => r[\"reporter\"] =~ /source|destination/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"reporter\"])\r\n |> filter(fn: (r) => exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 9
yCol: _value
yPos: 3
- axes:
- base: "10"
name: x
scale: linear
- name: "y"
scale: linear
suffix: ' %'
colorMapping: {}
colorizeRows: true
colors:
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id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
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type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Success Rate (non-5xx responses) By Destination Workload
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"destination\")\r\n |> filter(fn: (r)
=> r[\"destination_workload_namespace\"] == v.service_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.service_workload)\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service) \r\n\r\nnon_5xx_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> filter(fn: (r) => r[\"response_code\"] !~
/5.*/)\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nall_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] == \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\na = join(tables: {non_5xx_tls:non_5xx_tls,
all_tls:all_tls}, on: [\"_time\",\"_start\",\"_stop\",\"response_code\",\"reporter\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_non_5xx_tls
/ r._value_all_tls) * 100.0,\r\n reporter: r.reporter,\r\n response_code:
r.response_code,\r\n connection_security_policy: r.connection_security_policy,\r\n
\ destination_workload: r.destination_workload,\r\n destination_workload_namespace:
r.destination_workload_namespace\r\n })\r\n )\r\n\r\nnon_5xx =
m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> filter(fn: (r) => r[\"response_code\"] !~ /5.*/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s, groupColumns:
[\"reporter\",\"response_code\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nall = m\r\n |> filter(fn:
(r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 5m,
unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nb = join(tables: {non_5xx:non_5xx,
all:all}, on: [\"_time\",\"_start\",\"_stop\",\"response_code\",\"reporter\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_non_5xx
/ r._value_all) * 100.0,\r\n reporter: r.reporter,\r\n response_code:
r.response_code,\r\n connection_security_policy: r.connection_security_policy,\r\n
\ destination_workload: r.destination_workload,\r\n destination_workload_namespace:
r.destination_workload_namespace\r\n })\r\n )\r\n\r\nunion(tables:
[a, b])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xPos: 9
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: B
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: e45eed79-50ee-4e17-8668-d4942b7c6cc9
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Request Size By Service Workload
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_request_bytes_bucket\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"destination\")\r\n |>
filter(fn: (r) => r[\"destination_workload_namespace\"] == v.service_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.service_workload)\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service) \r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xPos: 9
yPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' B/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
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geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Bytes Received from Incoming TCP Connection
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_received_bytes_total\")\r\n |>
filter(fn: (r) => r[\"reporter\"] == \"destination\")\r\n |> filter(fn:
(r) => r[\"destination_workload_namespace\"] == v.service_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.service_workload)\r\n
\ |> filter(fn: (r) => r[\"destination_service\"] == v.service) \r\n\r\ntls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"destination_workload\",\"destination_workload_namespace\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
staticLegend:
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opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xPos: 9
yPos: 10
description: Details about metrics for the service and then client workloads (workloads
that are calling this service) and service workloads (workloads that are providing
this service) for that service.
name: Istio Service Dashboard
---
apiVersion: influxdata.com/v2alpha1
kind: Dashboard
metadata:
name: pensive-stonebraker-9ed001
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
charts:
- height: 1
kind: Markdown
name: Name this Cell (Clone)
note: '## **General**'
staticLegend: {}
width: 12
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' ops/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
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geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Request Volume
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nfrom(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n |>
filter(fn: (r) => r[\"destination_workload\"] == v.workload )\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\"])\r\n |> filter(fn: (r)
=> exists r._value)"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
yCol: _value
yPos: 1
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
suffix: ' %'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
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id: 2276c6b9-69b3-411f-966b-43f6ba2d301d
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Success Rate (non-5xx responses)
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n |>
filter(fn: (r) => r[\"destination_workload\"] == v.workload)\r\n |>
filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n\r\nfivehundreds
= m\r\n |> filter(fn: (r) => r[\"response_code\"] !~ /5.*/)\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 5m,
unit: 1s, groupColumns: [\"_field\", \"reporter\"])\r\n |> filter(fn:
(r) => exists r._value)\r\n\r\nall = m\r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 5m, unit: 1s, groupColumns: [\"_field\",
\"reporter\"])\r\n |> filter(fn: (r) => exists r._value)\r\n \r\n\r\njoin(tables:
{fh:fivehundreds, a:all}, on: [\"_time\", \"_start\", \"_stop\", \"reporter\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_fh
/ r._value_a) * 100.0,\r\n reporter: r.reporter\r\n })\r\n )"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
yCol: _value
yPos: 3
- height: 1
kind: Markdown
name: Name this Cell
note: '## **Inbound Workloads**'
staticLegend: {}
width: 6
yPos: 5
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' ops/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 2276c6b9-69b3-411f-966b-43f6ba2d301d
name: Nineteen Eighty Four
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id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Requests By Source And Response Code
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n |>
filter(fn: (r) => r[\"destination_workload\"] == v.workload )\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.inbound_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.inbound_workload)\r\n\r\ntls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: e45eed79-50ee-4e17-8668-d4942b7c6cc9
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Request Duration By Source
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
or r[\"_field\"] == \"istio_request_duration_seconds_bucket\")\r\n
\ |> filter(fn: (r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.workload )\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.inbound_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.inbound_workload)\r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> map(fn: (r) => ({ r with le: if r[\"_field\"]
== \"istio_request_duration_milliseconds_bucket\" then float(v: r.le)
/ 1000.0 else float(v: r.le) })) \r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> map(fn: (r) => ({ r with le: if r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
then float(v: r.le) / 1000.0 else float(v: r.le) })) \r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
yCol: _value
yPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: B
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: e45eed79-50ee-4e17-8668-d4942b7c6cc9
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Response Size By Source
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_response_bytes_bucket\")\r\n
\ |> filter(fn: (r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.workload )\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.inbound_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.inbound_workload)\r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
yCol: _value
yPos: 10
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' B/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 2276c6b9-69b3-411f-966b-43f6ba2d301d
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Bytes Sent to Incoming TCP Connection
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_sent_bytes_total\")\r\n |> filter(fn:
(r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n |>
filter(fn: (r) => r[\"destination_workload\"] == v.workload )\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.inbound_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.inbound_workload)\r\n\r\ntls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
yPos: 12
- axes:
- base: "10"
name: x
scale: linear
- name: "y"
scale: linear
suffix: ' %'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 2276c6b9-69b3-411f-966b-43f6ba2d301d
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Success Rate (non-5xx responses) By Source
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n |>
filter(fn: (r) => r[\"destination_workload\"] == v.workload )\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.inbound_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.inbound_workload)\r\n\r\nnon_5xx_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> filter(fn: (r) => r[\"response_code\"] !~
/5.*/)\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nall_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] == \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\na = join(tables: {non_5xx_tls:non_5xx_tls,
all_tls:all_tls}, on: [\"_time\", \"_start\", \"_stop\",\"response_code\",\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_non_5xx_tls
/ r._value_all_tls) * 100.0,\r\n reporter: r.reporter,\r\n response_code:
r.response_code,\r\n source_workload_namespace: r.source_workload_namespace,\r\n
\ source_workload: r.source_workload,\r\n connection_security_policy:
r.connection_security_policy\r\n })\r\n )\r\n\r\nnon_5xx = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> filter(fn: (r) => r[\"response_code\"] !~ /5.*/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s, groupColumns:
[\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nall = m\r\n |> filter(fn:
(r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 5m,
unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nb = join(tables: {non_5xx:non_5xx,
all:all}, on: [\"_time\", \"_start\", \"_stop\",\"response_code\",\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_non_5xx
/ r._value_all) * 100.0,\r\n reporter: r.reporter,\r\n response_code:
r.response_code,\r\n source_workload_namespace: r.source_workload_namespace,\r\n
\ source_workload: r.source_workload,\r\n connection_security_policy:
r.connection_security_policy\r\n })\r\n )\r\n\r\nunion(tables:
[a, b])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 3
yCol: _value
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: B
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: e45eed79-50ee-4e17-8668-d4942b7c6cc9
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Incoming Request Size By Source
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_request_bytes_bucket\")\r\n
\ |> filter(fn: (r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.workload )\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.inbound_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.inbound_workload)\r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 3
yCol: _value
yPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' B/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 2276c6b9-69b3-411f-966b-43f6ba2d301d
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Bytes Received from Incoming TCP Connection
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_received_bytes_total\")\r\n |>
filter(fn: (r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.workload )\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.inbound_workload_namespace)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.inbound_workload)\r\n\r\ntls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"source_workload_namespace\",\"source_workload\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xPos: 3
yPos: 10
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
suffix: ' B/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
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hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: TCP Server Traffic
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\ntx = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_sent_bytes_total\")\r\n |> filter(fn:
(r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n |>
filter(fn: (r) => r[\"destination_workload\"] == v.workload)\r\n |>
filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 1m,
unit: 1s, groupColumns: [\"_field\", \"reporter\"])\r\n |> filter(fn:
(r) => exists r._value)\r\n\r\nrx = from(bucket: v.bucket)\r\n |>
range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn:
(r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn: (r)
=> r[\"_field\"] == \"istio_tcp_received_bytes_total\")\r\n |> filter(fn:
(r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n |>
filter(fn: (r) => r[\"destination_workload\"] == v.workload)\r\n |>
filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 1m,
unit: 1s, groupColumns: [\"_field\", \"reporter\"])\r\n |> filter(fn:
(r) => exists r._value)\r\n \r\n\r\njoin(tables: {tx:tx, rx:rx},
on: [\"_time\", \"_start\", \"_stop\", \"reporter\"])\r\n |> map(fn:
(r) => ({\r\n _time: r._time,\r\n _value: (r._value_tx + r._value_rx),\r\n
\ reporter: r.reporter\r\n })\r\n )"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 4
yCol: _value
yPos: 1
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
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name: Nineteen Eighty Four
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geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Request Duration
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental\"\r\nimport \"experimental/aggregate\"\r\nimport
\"experimental/prometheus\"\r\n\r\nhistograms =\r\n from(bucket:
v.bucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n
\ |> filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n
\ |> filter(fn: (r) => r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
or r[\"_field\"] == \"istio_request_duration_seconds_bucket\")\r\n
\ |> filter(fn: (r) => r[\"destination_workload_namespace\"] == v.namespace)\r\n
\ |> filter(fn: (r) => r[\"destination_workload\"] == v.workload)\r\n
\ |> filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n
\ |> map(fn: (r) => ({ r with le: if r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
then float(v: r.le) / 1000.0 else float(v: r.le) })) \r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"le\",\"reporter\"])\r\n\r\n |> filter(fn: (r) => exists r._value)\r\nunion(tables:
[\r\n histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5)\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xCol: _time
xPos: 4
yCol: _value
yPos: 3
- height: 1
kind: Markdown
name: Name this Cell (Clone)
note: '## **Outbound Services**'
staticLegend: {}
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yPos: 5
- axes:
- base: "10"
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- base: "2"
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suffix: ' ops/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 2276c6b9-69b3-411f-966b-43f6ba2d301d
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Outgoing Requests By Destination And Response Code
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn: (r) => r[\"source_workload_namespace\"]
== v.namespace)\r\n |> filter(fn: (r) => r[\"source_workload\"] ==
v.workload)\r\n |> filter(fn: (r) => r[\"destination_service\"] ==
v.destination_service) \r\n\r\nprinc = m\r\n |> filter(fn: (r) =>
r[\"destination_principal\"] =~ /spiffe.*/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s, groupColumns:
[\"reporter\",\"response_code\",\"destination_service\"])\r\n |>
filter(fn: (r) => exists r._value)\r\n\r\nno_princ = m\r\n |> filter(fn:
(r) => r[\"destination_principal\"] !~ /spiffe.*/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s, groupColumns:
[\"reporter\",\"response_code\",\"destination_service\"])\r\n |>
filter(fn: (r) => exists r._value)\r\n\r\n\r\nunion(tables: [princ,
no_princ])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 6
yCol: _value
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
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name: Nineteen Eighty Four
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- hex: '#FF7E27'
id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Outgoing Request Duration By Destination
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
or r[\"_field\"] == \"istio_request_duration_seconds_bucket\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn:
(r) => r[\"source_workload_namespace\"] == v.namespace)\r\n |> filter(fn:
(r) => r[\"source_workload\"] == v.workload)\r\n |> filter(fn: (r)
=> r[\"destination_service\"] == v.destination_service) \r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> map(fn: (r) => ({ r with le: if r[\"_field\"]
== \"istio_request_duration_milliseconds_bucket\" then float(v: r.le)
/ 1000.0 else float(v: r.le) })) \r\n |> increase(columns: [\"_value\"])\r\n
\ |> aggregate.rate(every: 1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> map(fn: (r) => ({ r with le: if r[\"_field\"] == \"istio_request_duration_milliseconds_bucket\"
then float(v: r.le) / 1000.0 else float(v: r.le) })) \r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"reporter\",\"le\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 6
yCol: _value
yPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: B
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: e45eed79-50ee-4e17-8668-d4942b7c6cc9
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
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hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Response Size By Destination
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_response_bytes_bucket\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn:
(r) => r[\"source_workload_namespace\"] == v.namespace)\r\n |> filter(fn:
(r) => r[\"source_workload\"] == v.workload)\r\n |> filter(fn: (r)
=> r[\"destination_service\"] == v.destination_service)\r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 6
yCol: _value
yPos: 10
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' B/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 2276c6b9-69b3-411f-966b-43f6ba2d301d
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Bytes Received from Outgoing TCP Connection
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_sent_bytes_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn: (r) => r[\"source_workload_namespace\"]
== v.namespace)\r\n |> filter(fn: (r) => r[\"source_workload\"] ==
v.workload)\r\n |> filter(fn: (r) => r[\"destination_service\"] ==
v.destination_service) \r\n\r\ntls = m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"]
== \"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |>
aggregate.rate(every: 1m, unit: 1s, groupColumns: [\"reporter\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xPos: 6
yPos: 12
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
suffix: ' B/s'
colorMapping: {}
colorizeRows: true
colors:
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id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
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- hex: '#A500A5'
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height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: TCP Client Traffic
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\ntx = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_sent_bytes_total\")\r\n |> filter(fn:
(r) => r[\"source_workload_namespace\"] == v.namespace)\r\n |> filter(fn:
(r) => r[\"source_workload\"] == v.workload)\r\n |> filter(fn: (r)
=> r[\"reporter\"] =~ /source|destination/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 1m, unit: 1s, groupColumns:
[\"_field\", \"reporter\"])\r\n |> filter(fn: (r) => exists r._value)\r\n\r\nrx
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_tcp_received_bytes_total\")\r\n
\ |> filter(fn: (r) => r[\"source_workload_namespace\"] == v.namespace)\r\n
\ |> filter(fn: (r) => r[\"source_workload\"] == v.workload)\r\n |>
filter(fn: (r) => r[\"reporter\"] =~ /source|destination/)\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 1m,
unit: 1s, groupColumns: [\"_field\", \"reporter\"])\r\n |> filter(fn:
(r) => exists r._value)\r\n \r\n\r\njoin(tables: {tx:tx, rx:rx},
on: [\"_time\", \"_start\", \"_stop\", \"reporter\"])\r\n |> map(fn:
(r) => ({\r\n _time: r._time,\r\n _value: (r._value_tx + r._value_rx),\r\n
\ reporter: r.reporter\r\n })\r\n )"
staticLegend:
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opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 4
widthRatio: 1
xPos: 8
yPos: 1
- axes:
- base: "10"
name: x
scale: linear
- name: "y"
scale: linear
suffix: ' %'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
name: Nineteen Eighty Four
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- hex: '#A500A5'
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- hex: '#FF7E27'
id: b7fe02a2-a7ef-4ff1-a1a4-c7a5b72eed6a
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Outgoing Success Rate (non-5xx responses) By Destination
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_requests_total\")\r\n |> filter(fn:
(r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn: (r) => r[\"source_workload_namespace\"]
== v.namespace)\r\n |> filter(fn: (r) => r[\"source_workload\"] ==
v.workload)\r\n |> filter(fn: (r) => r[\"destination_service\"] ==
v.destination_service) \r\n\r\nnon_5xx_tls = m\r\n |> filter(fn:
(r) => r[\"connection_security_policy\"] == \"mutual_tls\")\r\n |>
filter(fn: (r) => r[\"response_code\"] !~ /5.*/)\r\n |> increase(columns:
[\"_value\"])\r\n |> aggregate.rate(every: 5m, unit: 1s, groupColumns:
[\"reporter\",\"response_code\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nall_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] == \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\na = join(tables: {non_5xx_tls:non_5xx_tls,
all_tls:all_tls}, on: [\"_time\", \"_start\", \"_stop\",\"response_code\",\"reporter\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_non_5xx_tls
/ r._value_all_tls) * 100.0,\r\n reporter: r.reporter,\r\n response_code:
r.response_code,\r\n connection_security_policy: r.connection_security_policy,\r\n
\ destination_service: r.destination_service\r\n })\r\n )\r\n\r\nnon_5xx
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] !=
\"mutual_tls\")\r\n |> filter(fn: (r) => r[\"response_code\"] !~
/5.*/)\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
5m, unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nall = m\r\n |> filter(fn:
(r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n |>
increase(columns: [\"_value\"])\r\n |> aggregate.rate(every: 5m,
unit: 1s, groupColumns: [\"reporter\",\"response_code\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nb = join(tables: {non_5xx:non_5xx,
all:all}, on: [\"_time\", \"_start\", \"_stop\",\"response_code\",\"reporter\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: (r._value_non_5xx
/ r._value_all) * 100.0,\r\n reporter: r.reporter,\r\n response_code:
r.response_code,\r\n connection_security_policy: r.connection_security_policy,\r\n
\ destination_service: r.destination_service\r\n })\r\n )\r\n\r\nunion(tables:
[a, b])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xPos: 9
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: B
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: bcac2843-2f91-4917-9297-00813796c616
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: e45eed79-50ee-4e17-8668-d4942b7c6cc9
name: Nineteen Eighty Four
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- hex: '#FF7E27'
id: 95085605-dfca-4428-9734-51d2e16f9ff2
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Outgoing Request Size By Destination
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\nimport \"experimental/prometheus\"\r\n\r\nm
= from(bucket: v.bucket)\r\n |> range(start: v.timeRangeStart, stop:
v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] ==
\"prometheus\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"istio_request_bytes_bucket\")\r\n
\ |> filter(fn: (r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn:
(r) => r[\"source_workload_namespace\"] == v.namespace)\r\n |> filter(fn:
(r) => r[\"source_workload\"] == v.workload)\r\n |> filter(fn: (r)
=> r[\"destination_service\"] == v.destination_service) \r\n\r\nhistograms_tls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nhistograms = m\r\n
\ |> filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"le\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.99),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.95),\r\n
\ histograms |> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms
|> prometheus.histogramQuantile(quantile: 0.5),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.99),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.95),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.9),\r\n histograms_tls
|> prometheus.histogramQuantile(quantile: 0.5),\r\n])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xCol: _time
xPos: 9
yCol: _value
yPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: "y"
scale: linear
suffix: ' B/s'
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 3171e769-22f4-4bf7-b6a0-0fc4f12d339a
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- hex: '#A500A5'
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- hex: '#FF7E27'
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name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Bytes Sent on Outgoing TCP Connection
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: "import \"experimental/aggregate\"\r\n\r\nm = from(bucket: v.bucket)\r\n
\ |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |>
filter(fn: (r) => r[\"_measurement\"] == \"prometheus\")\r\n |> filter(fn:
(r) => r[\"_field\"] == \"istio_tcp_received_bytes_total\")\r\n |>
filter(fn: (r) => r[\"reporter\"] == \"source\")\r\n |> filter(fn:
(r) => r[\"source_workload_namespace\"] == v.namespace)\r\n |> filter(fn:
(r) => r[\"source_workload\"] == v.workload)\r\n |> filter(fn: (r)
=> r[\"destination_service\"] == v.destination_service) \r\n\r\ntls
= m\r\n |> filter(fn: (r) => r[\"connection_security_policy\"] ==
\"mutual_tls\")\r\n |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value) \r\n\r\nno_tls = m\r\n |>
filter(fn: (r) => r[\"connection_security_policy\"] != \"mutual_tls\")\r\n
\ |> increase(columns: [\"_value\"])\r\n |> aggregate.rate(every:
1m, unit: 1s, groupColumns: [\"reporter\",\"destination_service\",\"connection_security_policy\"])\r\n
\ |> filter(fn: (r) => exists r._value)\r\n\r\nunion(tables: [tls,
no_tls])"
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 3
widthRatio: 1
xPos: 9
yPos: 10
description: Details about metrics for each workload and then inbound workloads
(workloads that are sending request to this workload) and outbound services
(services to which this workload send requests) for that workload.
name: ' Istio Workload Dashboard'
---
apiVersion: influxdata.com/v2alpha1
kind: Telegraf
metadata:
name: jolly-pike-5ed001
spec:
associations:
- kind: Label
name: fervent-bohr-ded001
config: |-
# Configuration for telegraf agent
[agent]
## Default data collection interval for all inputs
interval = "20s"
## Rounds collection interval to 'interval'
## ie, if interval="10s" then always collect on :00, :10, :20, etc.
round_interval = true
## Telegraf will send metrics to outputs in batches of at most
## metric_batch_size metrics.
## This controls the size of writes that Telegraf sends to output plugins.
metric_batch_size = 1000
## Maximum number of unwritten metrics per output. Increasing this value
## allows for longer periods of output downtime without dropping metrics at the
## cost of higher maximum memory usage.
metric_buffer_limit = 10000
## Collection jitter is used to jitter the collection by a random amount.
## Each plugin will sleep for a random time within jitter before collecting.
## This can be used to avoid many plugins querying things like sysfs at the
## same time, which can have a measurable effect on the system.
collection_jitter = "0s"
## Default flushing interval for all outputs. Maximum flush_interval will be
## flush_interval + flush_jitter
flush_interval = "10s"
## Jitter the flush interval by a random amount. This is primarily to avoid
## large write spikes for users running a large number of telegraf instances.
## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
flush_jitter = "0s"
## By default or when set to "0s", precision will be set to the same
## timestamp order as the collection interval, with the maximum being 1s.
## ie, when interval = "10s", precision will be "1s"
## when interval = "250ms", precision will be "1ms"
## Precision will NOT be used for service inputs. It is up to each individual
## service input to set the timestamp at the appropriate precision.
## Valid time units are "ns", "us" (or "µs"), "ms", "s".
precision = ""
## Log at debug level.
# debug = false
## Log only error level messages.
# quiet = false
## Log target controls the destination for logs and can be one of "file",
## "stderr" or, on Windows, "eventlog". When set to "file", the output file
## is determined by the "logfile" setting.
# logtarget = "file"
## Name of the file to be logged to when using the "file" logtarget. If set to
## the empty string then logs are written to stderr.
# logfile = ""
## The logfile will be rotated after the time interval specified. When set
## to 0 no time based rotation is performed. Logs are rotated only when
## written to, if there is no log activity rotation may be delayed.
# logfile_rotation_interval = "0d"
## The logfile will be rotated when it becomes larger than the specified
## size. When set to 0 no size based rotation is performed.
# logfile_rotation_max_size = "0MB"
## Maximum number of rotated archives to keep, any older logs are deleted.
## If set to -1, no archives are removed.
# logfile_rotation_max_archives = 5
## Pick a timezone to use when logging or type 'local' for local time.
## Example: America/Chicago
# log_with_timezone = ""
## Override default hostname, if empty use os.Hostname()
hostname = ""
## If set to true, do no set the "host" tag in the telegraf agent.
omit_hostname = false
[[outputs.influxdb_v2]]
## The URLs of the InfluxDB cluster nodes.
##
## Multiple URLs can be specified for a single cluster, only ONE of the
## urls will be written to each interval.
## ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
urls = ["$INFLUX_HOST"]
## Token for authentication.
token = "$INFLUX_TOKEN"
## Organization is the name of the organization you wish to write to; must exist.
organization = "$INFLUX_ORG"
## Destination bucket to write into.
bucket = "$INFLUX_BUCKET"
## The value of this tag will be used to determine the bucket. If this
## tag is not set the 'bucket' option is used as the default.
# bucket_tag = ""
## If true, the bucket tag will not be added to the metric.
# exclude_bucket_tag = false
## Timeout for HTTP messages.
# timeout = "5s"
## Additional HTTP headers
# http_headers = {"X-Special-Header" = "Special-Value"}
## HTTP Proxy override, if unset values the standard proxy environment
## variables are consulted to determine which proxy, if any, should be used.
# http_proxy = "http://corporate.proxy:3128"
## HTTP User-Agent
# user_agent = "telegraf"
## Content-Encoding for write request body, can be set to "gzip" to
## compress body or "identity" to apply no encoding.
# content_encoding = "gzip"
## Enable or disable uint support for writing uints influxdb 2.0.
# influx_uint_support = false
## Optional TLS Config for use on HTTP connections.
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## Use TLS but skip chain & host verification
# insecure_skip_verify = false
[[inputs.prometheus]]
urls = [
"https://kubernetes.default.svc/api/v1/nodes/$HOSTNAME/proxy/metrics/cadvisor",
"https://kubernetes.default.svc/api/v1/nodes/$HOSTNAME/proxy/metrics"
]
metric_version = 2
monitor_kubernetes_pods = true
pod_scrape_scope = "node"
pod_scrape_interval = 60
kubernetes_field_selector = "spec.nodeName=$HOSTNAME"
bearer_token = "/var/run/secrets/kubernetes.io/serviceaccount/token"
response_timeout = "5s"
tls_ca = "/var/run/secrets/kubernetes.io/serviceaccount/ca.crt"
insecure_skip_verify = true
name: istio-daemonset