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lambda.yml
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lambda.yml
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apiVersion: influxdata.com/v2alpha1
kind: Bucket
metadata:
name: intelligent-swartz-4bf001
spec:
name: kubernetes
retentionRules:
- everySeconds: 172800
type: expire
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: lucid-kepler-8bf001
spec:
language: flux
name: bucket
query: |-
buckets()
|> filter(fn: (r) => r.name !~ /^_/)
|> rename(columns: {name: "_value"})
|> keep(columns: ["_value"])
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Dashboard
metadata:
name: serene-cohen-cbf001
spec:
charts:
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colors:
- hex: '#31C0F6'
id: dba71c09-6cd9-4e54-8eb0-57a718f039ce
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: bbe4ca25-7b3b-45f1-993c-10efc53049db
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 31f89fcb-c645-4194-87e5-e0c2cb5266d4
name: Nineteen Eighty Four
type: scale
geom: line
height: 4
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Total Invocations
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "invocations_sum")
|> filter(fn: (r) => exists r["resource"] )
|> group(columns: ["_measurement"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "mean")
width: 10
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
label: Error rate
name: "y"
scale: linear
suffix: '%'
colors:
- hex: '#DC4E58'
id: 8fca67de-414d-43fe-af0d-c30807e5fd81
name: Solid Red
type: scale
- hex: '#DC4E58'
id: 3f2a82b7-a070-4611-be9d-1937105fa319
name: Solid Red
type: scale
- hex: '#DC4E58'
id: aec4cb57-eb2a-460a-ad96-f7755a94408e
name: Solid Red
type: scale
geom: line
height: 4
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Total error rate
position: overlaid
queries:
- query: |-
period = 10s
invocations =
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "invocations_sum")
|> group(columns: ["_measurement", "_field"])
|> aggregateWindow(every: period, fn: sum, createEmpty: false)
errors =
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "errors_sum")
|> group(columns: ["_measurement", "_field"])
|> aggregateWindow(every: period, fn: sum, createEmpty: false)
join(tables: {invocations: invocations, errors: errors}, on: ["_time"])
|> map(fn: (r) => ({_time: r._time, _value: r._value_errors / r._value_invocations * 100.}))
|> yield(name: "val")
width: 10
xCol: _time
yCol: _value
yPos: 4
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
label: Throttle rate
name: "y"
scale: linear
suffix: '%'
colors:
- hex: '#31C0F6'
id: 721ec2e2-4e60-48cc-8792-c0872a3bb676
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 216533e1-615f-4690-b0bd-06c3f4f3f5f0
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 660b453b-149f-4c78-9f1d-6b788017e115
name: Nineteen Eighty Four
type: scale
geom: line
height: 4
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Total throttle rate
position: overlaid
queries:
- query: |-
invocations =
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "invocations_sum")
|> group(columns: ["_measurement", "_field"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
throttles =
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "throttles_sum")
|> group(columns: ["_measurement", "_field"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
join(tables: {invocations: invocations, throttles: throttles}, on: ["_time"])
|> map(fn: (r) => ({_time: r._time, _value: r._value_throttles / r._value_invocations * 100.}))
|> yield(name: "value")
width: 10
xCol: _time
yCol: _value
yPos: 8
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colors:
- hex: '#31C0F6'
id: dba71c09-6cd9-4e54-8eb0-57a718f039ce
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: bbe4ca25-7b3b-45f1-993c-10efc53049db
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 31f89fcb-c645-4194-87e5-e0c2cb5266d4
name: Nineteen Eighty Four
type: scale
geom: line
height: 4
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Invocations per function
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "invocations_sum")
|> filter(fn: (r) => exists r["resource"])
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> keep(columns: ["_time", "_value", "resource", "function_name"])
|> yield(name: "mean")
width: 8
xCol: _time
yCol: _value
yPos: 12
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
label: Duration
name: "y"
scale: linear
suffix: ms
colors:
- hex: '#31C0F6'
id: 721ec2e2-4e60-48cc-8792-c0872a3bb676
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 216533e1-615f-4690-b0bd-06c3f4f3f5f0
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 660b453b-149f-4c78-9f1d-6b788017e115
name: Nineteen Eighty Four
type: scale
geom: line
height: 4
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Duration per function
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => exists r["resource"])
|> filter(fn: (r) => r["_field"] == "duration_average")
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> keep(columns: ["_time", "_value", "resource", "function_name"])
|> yield(name: "mean")
width: 8
xCol: _time
yCol: _value
yPos: 16
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
label: Error rate
name: "y"
scale: linear
suffix: '%'
colors:
- hex: '#31C0F6'
id: 721ec2e2-4e60-48cc-8792-c0872a3bb676
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 216533e1-615f-4690-b0bd-06c3f4f3f5f0
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 660b453b-149f-4c78-9f1d-6b788017e115
name: Nineteen Eighty Four
type: scale
geom: line
height: 4
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Errors per function
position: overlaid
queries:
- query: |-
period = 10s
invocations =
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "invocations_sum")
|> filter(fn: (r) => exists r["resource"])
|> group(columns: ["_measurement", "_field", "resource"])
|> aggregateWindow(every: period, fn: sum, createEmpty: false)
errors =
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "errors_sum")
|> filter(fn: (r) => exists r["resource"])
|> group(columns: ["_measurement", "_field", "resource"])
|> aggregateWindow(every: period, fn: sum, createEmpty: false)
join(tables: {invocations: invocations, errors: errors}, on: ["_time", "resource"])
|> map(fn: (r) => ({r with _time: r._time, _value: r._value_errors / r._value_invocations * 100.}))
|> keep(columns: ["_time", "_value", "resource"])
|> yield(name: "val")
width: 10
xCol: _time
yCol: _value
yPos: 20
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
label: Throttle rate
name: "y"
scale: linear
suffix: '%'
colors:
- hex: '#31C0F6'
id: 721ec2e2-4e60-48cc-8792-c0872a3bb676
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 216533e1-615f-4690-b0bd-06c3f4f3f5f0
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 660b453b-149f-4c78-9f1d-6b788017e115
name: Nineteen Eighty Four
type: scale
geom: line
height: 4
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Throttles per function
position: overlaid
queries:
- query: |-
period = 10s
invocations =
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "invocations_sum")
|> filter(fn: (r) => exists r["resource"])
|> group(columns: ["_measurement", "_field", "resource"])
|> aggregateWindow(every: period, fn: sum, createEmpty: false)
throttles =
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "throttles_sum")
|> filter(fn: (r) => exists r["resource"])
|> group(columns: ["_measurement", "_field", "resource"])
|> aggregateWindow(every: period, fn: sum, createEmpty: false)
join(tables: {invocations: invocations, throttles: throttles}, on: ["_time", "resource"])
|> map(fn: (r) => ({r with _time: r._time, _value: r._value_throttles / r._value_invocations * 100.}))
|> keep(columns: ["_time", "_value", "resource"])
|> yield(name: "val")
width: 10
xCol: _time
yCol: _value
yPos: 24
- axes:
- name: x
binCount: 30
colors:
- hex: '#31C0F6'
id: 721ec2e2-4e60-48cc-8792-c0872a3bb676
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 216533e1-615f-4690-b0bd-06c3f4f3f5f0
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 660b453b-149f-4c78-9f1d-6b788017e115
name: Nineteen Eighty Four
type: scale
fillColumns:
- function_name
- resource
height: 4
kind: Histogram
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Invocations per function
position: stacked
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => r["_field"] == "invocations_sum")
|> filter(fn: (r) => exists r["resource"])
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> keep(columns: ["_time", "_value", "resource", "function_name"])
|> yield(name: "mean")
width: 2
xCol: _value
xPos: 8
yPos: 12
- axes:
- name: x
binCount: 30
colors:
- hex: '#31C0F6'
id: 721ec2e2-4e60-48cc-8792-c0872a3bb676
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 216533e1-615f-4690-b0bd-06c3f4f3f5f0
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 660b453b-149f-4c78-9f1d-6b788017e115
name: Nineteen Eighty Four
type: scale
fillColumns:
- function_name
- resource
height: 4
kind: Histogram
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Duration per function
position: stacked
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "cloudwatch_aws_lambda")
|> filter(fn: (r) => exists r["resource"])
|> filter(fn: (r) => r["_field"] == "duration_average")
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> keep(columns: ["_time", "_value", "resource", "function_name"])
|> yield(name: "mean")
width: 2
xCol: _value
xPos: 8
yPos: 16
name: AWS Lambda