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ceph-cluster.yml
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ceph-cluster.yml
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apiVersion: influxdata.com/v2alpha1
kind: Label
metadata:
name: shiny-chatelet-9b6001
spec:
color: '#F95F53'
name: ceph
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: cranky-allen-db6001
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: optimistic-feynman-db6001
spec:
charts:
- height: 2
kind: Markdown
name: Name this Cell
note: |-
# Ceph Cluster
It is compatible with a Rook Ceph cluster and possibly also most Ceph Cluster with the Ceph MGR Prometheus module enabled.
The Telegraf Prometheus input plugin needs to scrape the Ceph MGR(s) Prometheus Metrics Endpoints.
width: 4
- colors:
- hex: '#7CE490'
id: base
name: honeydew
type: background
- hex: '#FFD255'
id: 54d4f688-00b3-421e-b1a5-aee54f09d0b2
name: thunder
type: background
value: 1
- hex: '#F95F53'
id: 083348b3-2600-4c36-9122-6f48b8585485
name: curacao
type: background
value: 2
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Cluster Health Status
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) => r[\"_field\"] == \"ceph_health_status\") \n
\ |> yield()"
width: 2
yPos: 2
- height: 1
kind: Markdown
name: Name this Cell
note: '## OSDs'
width: 2
yPos: 3
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 1
height: 1
kind: Single_Stat
name: PGs per OSD
queries:
- query: |-
num_pg = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_numpg")
|> aggregateWindow(every: v.windowPeriod, fn: last)
|> group(columns: ["_time", "_stop", "_start", "host", "_measurement"], mode:"by")
|> sum(column: "_value")
num_osd = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_metadata")
|> aggregateWindow(every: v.windowPeriod, fn: last)
|> group(columns: ["_time", "_stop", "_start", "host", "_measurement"], mode:"by")
|> sum(column: "_value")
join(tables: {pgs:num_pg, osds:num_osd}, on: ["_time", "_stop", "_start", "host"])
|> map(fn: (r) => ({
_time: r._time,
_value: (r._value_pgs / r._value_osds)
})
)
suffix: ' PGs/OSD'
width: 4
yPos: 4
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: background
decimalPlaces: 0
height: 1
kind: Single_Stat
name: OSDs Total
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_metadata")
|> group(columns: ["_field", "_measurement", "_time"])
|> count()
|> yield(name: "count")
suffix: ' OSDs'
width: 2
yPos: 5
- colors:
- hex: '#F95F53'
id: base
name: curacao
type: background
- hex: '#383846'
id: e415d0a8-8ab1-457e-9e7f-713e42634d77
name: pepper
type: background
value: 1
- hex: '#7CE490'
id: 717e0ba2-d16d-4d40-ad9a-1d4535309157
name: honeydew
type: background
value: 2
decimalPlaces: 0
height: 1
kind: Single_Stat
name: OSDs In
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_in")
|> group(columns: ["_time", "_measurement", "_field"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
suffix: ' In'
width: 2
yPos: 6
- colors:
- hex: '#FFD255'
id: base
name: thunder
type: background
- hex: '#7CE490'
id: daa462ee-5f11-45b0-9242-32755810cb5a
name: honeydew
type: background
value: 2
decimalPlaces: 0
height: 1
kind: Single_Stat
name: OSDs Up
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_up")
|> group(columns: ["_time", "_measurement", "_field"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
suffix: ' Up'
width: 2
yPos: 7
- height: 1
kind: Markdown
name: Name this Cell
note: '## MONs'
width: 2
yPos: 8
- colors:
- hex: '#F95F53'
id: base
name: curacao
type: background
- hex: '#FFD255'
id: 317466dc-92b6-40f9-a493-1960d1d6eb3e
name: thunder
type: background
value: 1
- hex: '#7CE490'
id: daa462ee-5f11-45b0-9242-32755810cb5a
name: honeydew
type: background
value: 2
decimalPlaces: 0
height: 1
kind: Single_Stat
name: MON Quorum Status
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_mon_quorum_status")
|> group(columns: ["_time", "_measurement", "_field"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
suffix: ' In Quorum'
width: 2
yPos: 9
- colors:
- hex: '#F95F53'
id: base
name: curacao
type: background
- hex: '#FFD255'
id: 317466dc-92b6-40f9-a493-1960d1d6eb3e
name: thunder
type: background
value: 1
- hex: '#7CE490'
id: daa462ee-5f11-45b0-9242-32755810cb5a
name: honeydew
type: background
value: 2
decimalPlaces: 0
height: 1
kind: Single_Stat
name: MON Quorum Total
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_mon_quorum_status")
|> group(columns: ["_time", "_measurement", "_field"])
|> count()
|> yield(name: "count")
suffix: ' In Total'
width: 2
yPos: 10
- colors:
- hex: '#ffffff'
id: base
name: white
type: text
- hex: '#F95F53'
id: f50310d1-f341-4153-ab4a-a93699f8689d
name: curacao
type: text
value: 1
- hex: '#ffffff'
id: ef9e459e-4159-4ea2-b098-578a7c75fae7
name: white
type: text
value: 75
decimalPlaces: 0
height: 1
kind: Single_Stat
name: Cluster Health Status
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) => r[\"_field\"] == \"ceph_health_status\") \n
\ |> toString()\n |> map(fn: (r) => ({ r with _value: \n if
r._value == \"0\"\n then \"HEALTH_OK\"\n else if r._value
== \"1\"\n then \"HEALTH_WARN\"\n else \"HEALTH_ERROR\"\n
\ }))\n |> yield()"
width: 2
xPos: 2
yPos: 2
- height: 1
kind: Markdown
name: Name this Cell
note: '## PGs'
width: 2
xPos: 2
yPos: 3
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: background
decimalPlaces: 0
height: 1
kind: Single_Stat
name: PGs Total
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_pg_total")
|> group(columns: ["_field", "_measurement", "_time", "_stop", "_start"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
suffix: ' PGs'
width: 2
xPos: 2
yPos: 5
- colors:
- hex: '#7CE490'
id: base
name: honeydew
type: background
decimalPlaces: 0
height: 1
kind: Single_Stat
name: PGs Active
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_pg_active")
|> group(columns: ["_field", "_measurement", "_time", "_stop", "_start"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
suffix: ' Active'
width: 2
xPos: 2
yPos: 6
- colors:
- hex: '#7CE490'
id: base
name: honeydew
type: text
- hex: '#FFD255'
id: 523bf8ce-a739-43e9-ac03-597a79d0478c
name: thunder
type: text
value: 1
decimalPlaces: 0
height: 1
kind: Single_Stat
name: PGs Down
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_pg_down")
|> group(columns: ["_field", "_measurement", "_time", "_stop", "_start"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
suffix: ' Down'
width: 2
xPos: 2
yPos: 7
- colors:
- hex: '#7CE490'
id: base
name: honeydew
type: text
- hex: '#FFB94A'
id: c09ffecf-2494-4aef-b374-62da0832be6e
name: pineapple
type: text
value: 1
decimalPlaces: 0
height: 1
kind: Single_Stat
name: PGs Undersized
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_pg_undersized")
|> group(columns: ["_field", "_measurement", "_time", "_stop", "_start"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
suffix: ' Undersized'
width: 2
xPos: 2
yPos: 8
- colors:
- hex: '#7CE490'
id: base
name: honeydew
type: text
- hex: '#FFD255'
id: dd7a19b3-88b9-4231-ad94-a5b670996d2c
name: thunder
type: text
value: 1
decimalPlaces: 0
height: 1
kind: Single_Stat
name: PGs Degraded
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_pg_degraded")
|> group(columns: ["_field", "_measurement", "_time", "_stop", "_start"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
suffix: ' Degraded'
width: 2
xPos: 2
yPos: 9
- colors:
- hex: '#7CE490'
id: base
name: honeydew
type: text
- hex: '#FFD255'
id: 612b6132-79d4-4abe-b8df-f7b8bd97e0f2
name: thunder
type: text
value: 1
decimalPlaces: 0
height: 1
kind: Single_Stat
name: PGs Inconsistent
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_pg_inconsistent")
|> group(columns: ["_field", "_measurement", "_time", "_stop", "_start"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
suffix: ' Inconsistent'
width: 2
xPos: 2
yPos: 10
- height: 1
kind: Markdown
name: Name this Cell
note: '## Cluster Latency'
width: 2
xPos: 4
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: y
scale: linear
suffix: ' ms'
colors:
- hex: '#8F8AF4'
id: 7cb1c6f3-f015-4872-9aea-be96ed91ac2b
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#A51414'
id: 1b7af10d-2b32-4890-9318-929473a7bc67
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#F4CF31'
id: 44279c3e-4168-433d-88d6-ab822150f805
name: Do Androids Dream of Electric Sheep?
type: scale
geom: monotoneX
height: 2
hoverDimension: auto
kind: Xy
legendOpacity: 1
legendOrientationThreshold: 10
name: OSD Apply Latency
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"] == "ceph_osd_apply_latency_ms")
|> group(columns: ["ceph_daemon"])
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> yield(name: "mean")
shade: true
width: 2
xCol: _time
xPos: 4
yCol: _value
yPos: 1
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: y
scale: linear
suffix: ' ms'
colors:
- hex: '#8F8AF4'
id: 7cb1c6f3-f015-4872-9aea-be96ed91ac2b
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#A51414'
id: 1b7af10d-2b32-4890-9318-929473a7bc67
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#F4CF31'
id: 44279c3e-4168-433d-88d6-ab822150f805
name: Do Androids Dream of Electric Sheep?
type: scale
geom: monotoneX
height: 2
hoverDimension: auto
kind: Xy
legendOpacity: 1
legendOrientationThreshold: 10
name: OSD Commit Latency
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"] == "ceph_osd_commit_latency_ms")
|> group(columns: ["ceph_daemon"])
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> yield(name: "mean")
shade: true
width: 2
xCol: _time
xPos: 4
yCol: _value
yPos: 3
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 1
height: 1
kind: Single_Stat
name: OSD Apply Latency Average 10m
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_apply_latency_ms")
|> group(columns: ["ceph_daemon"])
|> timedMovingAverage(every: 1m, period: 10m)
suffix: ' ms'
width: 2
xPos: 4
yPos: 5
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 1
height: 1
kind: Single_Stat
name: OSD Commit Latency Average 10m
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_commit_latency_ms")
|> group(columns: ["ceph_daemon"])
|> timedMovingAverage(every: 1m, period: 10m)
suffix: ' ms'
width: 2
xPos: 4
yPos: 6
- height: 1
kind: Markdown
name: Name this Cell
note: '## Cluster Pools'
width: 2
xPos: 4
yPos: 7
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: background
decimalPlaces: 0
height: 1
kind: Single_Stat
name: PGs Total
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_pool_metadata")
|> group(columns: ["_field", "_measurement", "_time"])
|> count()
|> yield(name: "count")
suffix: ' Pools'
width: 2
xPos: 4
yPos: 8
- colors:
- hex: '#ffffff'
id: base
name: white
type: text
fieldOptions:
- displayName: _time
fieldName: _time
visible: true
- displayName: _field
fieldName: _field
visible: true
- displayName: _measurement
fieldName: _measurement
visible: true
- displayName: _value
fieldName: _value
visible: true
- displayName: pool_id
fieldName: pool_id
visible: true
- displayName: _start
fieldName: _start
visible: true
- displayName: _stop
fieldName: _stop
visible: true
- displayName: address
fieldName: address
visible: true
- displayName: host
fieldName: host
visible: true
- displayName: name
fieldName: name
visible: true
- displayName: url
fieldName: url
visible: true
height: 2
kind: Table
name: Pools
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: -1m)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_pool_metadata")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> group(columns: ["_time"])
|> keep(columns: ["name", "pool_id", "name"])
tableOptions:
sortBy: pool_id
verticalTimeAxis: true
timeFormat: YYYY-MM-DD HH:mm:ss
width: 2
xPos: 4
yPos: 9
- height: 1
kind: Markdown
name: Name this Cell
note: '## Cluster Capacity'
width: 3
xPos: 6
- colors:
- hex: '#00C9FF'
id: "0"
name: laser
type: min
- hex: '#DC4E58'
id: "1"
name: fire
type: max
value: 100
decimalPlaces: 1
height: 3
kind: Gauge
name: Capacity Used In %
queries:
- query: |-
bytes_used = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_stat_bytes_used")
|> aggregateWindow(every: v.windowPeriod, fn: last)
|> group(columns: ["_time", "_stop", "_start", "host", "_measurement"], mode:"by")
|> sum(column: "_value")
bytes_total = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_stat_bytes")
|> aggregateWindow(every: v.windowPeriod, fn: last)
|> group(columns: ["_time", "_stop", "_start", "host", "_measurement"], mode:"by")
|> sum(column: "_value")
join(tables: {used:bytes_used, total:bytes_total}, on: ["_time", "_stop", "_start", "host"])
|> map(fn: (r) => ({
_time: r._time,
_value: (r._value_used / r._value_total) * 100.0
})
)
suffix: '%'
tickSuffix: "true"
width: 5
xPos: 6
yPos: 1
- height: 1
kind: Markdown
name: Name this Cell
note: '## Cluster I/O'
width: 3
xPos: 6
yPos: 4
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: y
scale: linear
suffix: Bps
colors:
- hex: '#8F8AF4'
id: 7cb1c6f3-f015-4872-9aea-be96ed91ac2b
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#A51414'
id: 1b7af10d-2b32-4890-9318-929473a7bc67
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#F4CF31'
id: 44279c3e-4168-433d-88d6-ab822150f805
name: Do Androids Dream of Electric Sheep?
type: scale
geom: monotoneX
height: 2
hoverDimension: auto
kind: Xy
legendOpacity: 1
legendOrientationThreshold: 10
name: Throughput
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) => r[\"_field\"] == \"ceph_osd_op_w_in_bytes\"
or r[\"_field\"] == \"ceph_osd_op_r_out_bytes\" or r[\"_field\"] ==
\"ceph_osd_op_rw_in_bytes\") \n |> group(columns: [\"_field\"], mode:\"by\")\n
\ |> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty:
false)\n |> derivative(unit: 1s, nonNegative: true, columns: [\"_value\"],
timeColumn: \"_time\")"
shade: true
width: 3
xCol: _time
xPos: 6
yCol: _value
yPos: 5
- axes:
- base: "10"
name: x
scale: linear
- name: y
scale: linear
colors:
- hex: '#8F8AF4'
id: 7cb1c6f3-f015-4872-9aea-be96ed91ac2b
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#A51414'
id: 1b7af10d-2b32-4890-9318-929473a7bc67
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#F4CF31'
id: 44279c3e-4168-433d-88d6-ab822150f805
name: Do Androids Dream of Electric Sheep?
type: scale
geom: monotoneX
height: 2
hoverDimension: auto
kind: Xy
legendOpacity: 1
legendOrientationThreshold: 10
name: IOPS
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) => r[\"_field\"] == \"ceph_osd_op_r\" or r[\"_field\"]
== \"ceph_osd_op_w\" or r[\"_field\"] == \"ceph_osd_op_rw\") \n |>
group(columns: [\"_field\"], mode:\"by\")\n |> aggregateWindow(every:
v.windowPeriod, fn: sum, createEmpty: false)\n |> derivative(unit:
1s, nonNegative: true, columns: [\"_value\"], timeColumn: \"_time\")"
shade: true
width: 3
xCol: _time
xPos: 6
yCol: _value
yPos: 7
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: y
scale: linear
suffix: Op/s
colors:
- hex: '#8F8AF4'
id: 7cb1c6f3-f015-4872-9aea-be96ed91ac2b
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#A51414'
id: 1b7af10d-2b32-4890-9318-929473a7bc67
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#F4CF31'
id: 44279c3e-4168-433d-88d6-ab822150f805
name: Do Androids Dream of Electric Sheep?
type: scale
geom: monotoneX
height: 2
hoverDimension: auto
kind: Xy
legendOpacity: 1
legendOrientationThreshold: 10
name: Recovery Rate
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"] == "ceph_osd_recovery_ops")
|> group(columns: ["pool_id"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> derivative(unit: 1s, nonNegative: true, columns: ["_value"], timeColumn: "_time")
shade: true
width: 3
xCol: _time
xPos: 6
yCol: _value
yPos: 9
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 1
height: 1
kind: Single_Stat
name: Capacity Total GB
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_osd_stat_bytes")
|> group(columns: ["_field", "_measurement", "_time", "_stop", "_start"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> map(fn: (r) => ({ r with _value: r._value / 1073741824.0 }))
suffix: ' GB'
width: 1
xPos: 9
- height: 1
kind: Markdown
name: Name this Cell
note: '## Objects'
width: 2
xPos: 9
yPos: 4
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: y
scale: linear
colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
- hex: '#8F8AF4'
id: eaba9af5-31b5-44c4-aec4-aac18b8d78ee
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#A51414'
id: 2fcab4d3-ea8e-4d34-87f2-f3f97367cf0d
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#F4CF31'
id: 996ca3aa-0738-489b-be67-bcd913e0fccf
name: Do Androids Dream of Electric Sheep?
type: scale
decimalPlaces: 0
height: 2
hoverDimension: auto
kind: Single_Stat_Plus_Line
legendOpacity: 1
legendOrientationThreshold: 10
name: Objects In Pools
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"] == "ceph_pool_objects")
|> group(columns: ["_field"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
shade: true
width: 2
xCol: _time
xPos: 9
yCol: _value
yPos: 5
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: y
scale: linear
colors:
- hex: '#31C0F6'
id: 58262bed-f65a-4f87-8b0f-598eca74964a
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: 324f44e9-a15d-4b63-90e2-c6c3e9251f32
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 9ec0304b-96a3-47f7-bdbc-f4b2f8a093dd
name: Nineteen Eighty Four
type: scale
geom: line
height: 2
hoverDimension: auto
kind: Xy
legendOpacity: 1
legendOrientationThreshold: 10
name: Objects - Status
position: overlaid
queries:
- query: |-
from(bucket: "demo")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "prometheus")
|> filter(fn: (r) => r["_field"] == "ceph_num_objects_degraded" or r["_field"] == "ceph_num_objects_misplaced" or r["_field"] == "ceph_num_objects_unfound")
|> group(columns: ["_field"])
|> aggregateWindow(every: v.windowPeriod, fn: sum, createEmpty: false)
|> yield(name: "sum")
shade: true
width: 2
xCol: _time
xPos: 9
yCol: _value
yPos: 7
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: y
scale: linear
suffix: Bps
colors:
- hex: '#8F8AF4'
id: 7cb1c6f3-f015-4872-9aea-be96ed91ac2b
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#A51414'
id: 1b7af10d-2b32-4890-9318-929473a7bc67
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#F4CF31'
id: 44279c3e-4168-433d-88d6-ab822150f805
name: Do Androids Dream of Electric Sheep?
type: scale
geom: monotoneX
height: 2
hoverDimension: auto
kind: Xy
legendOpacity: 1
legendOrientationThreshold: 10
name: Egress / Ingress
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)