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Integrar com Prometeus

Nesta página

  • Pré-requisitos
  • Procedimento
  • Configurações de exemplo
  • Importar um dashboard do Grafana de amostra
  • Métricas de desempenho disponíveis para Prometeus
  • Rótulos de métrica do MongoDB
  • Métricas de informação do MongoDB
  • Métricas de hardware
  • Rótulos de métrica de hardware

Prometheus coleta métricas de destinos configurados em determinados intervalos, avalia expressões de regras, exibe os resultados e pode acionar alertas quando observa condições específicas.

Nossa integração permite que você configure MongoDB Ops Manager o para enviar dados métricos sobre sua implantação para o Prometeus instância.

  • Prometeu a integração está disponível em clusters gerenciados porautomação que usam o MongoDB Agent 12.0.15.7646 ou mais tarde. MongoDB Agent 12.0.15.7646 está lançado com MongoDB Ops Manager 6.0.7.

  • Tenha um Prometeus funcional instância. Para configurar uma instância de trabalho, consulte o Guia de Instalação.

  • (Opcional) Use Grafana para visualizar suas métricas de Prometeus.

Para integrar MongoDB Ops Manager o ao Prometheus:

1
  1. Se ainda não estiver exibido, selecione a organização que contém o projeto desejado no menu Organizations na barra de navegação.

  2. Se ainda não estiver exibido, selecione o projeto desejado no menu Projects na barra de navegação.

  3. Ao lado do menu Projects , expanda o menu Options e clique em Integrations.

2
3

As credenciais de autenticação do Prometheus são projetadas especificamente para uso com a integração do Prometheus no MongoDB Ops Manager. MongoDB Ops Manager usa essas credenciais para acessar apenas o endpoint de descoberta do Prometheus e raspar as métricas do Prometheus dos nós do MongoDB Ops Manager . Eles são estritamente limitados a essas funções e não têm permissões ou recursos adicionais além de acessar e coletar dados de monitoramento.

Importante

Copie seu nome de usuário e senha em um local seguro. Você não pode acessar a senha depois de sair dessa tela.

4

Dica

O valor padrão, 0.0.0.0:9216, coleta métricas na porta 9216 em todos os endereçosIPv4 na máquina local.

5

Se você habilitar essa configuração, o Ops Manager garantirá que sua instância do Prometheus use https para raspar métricas.

Campos
Descrição

Caminho do arquivo da chave do certificado TLS

PEM caminho do arquivo que contém o certificado e a chave necessários para ativar um endpoint de limpeza Prometheus https .

Você é responsável pelo seguinte:

  • Emissão e renovação de arquivos de chave de certificado TLS.

  • Verificando se o endpoint foi iniciado corretamente nos registros do agente de automação.

tlsCertificateKeyFilePassword

Obrigatório se o arquivo de chave do certificado estiver criptografado.

6
Método de descoberta
Descrição

Este método requer Prometheus v2.28 e posterior. Ele gera o scrap_config parte do seu arquivo de configuração para descobrir alvos em um endpoint HTTP.

Este método permite que o Prometheus leia documentos YAML ou JSON para configurar os destinos dos quais extrair.

Você é responsável por fornecer os alvos fazendo uma solicitação à API de descoberta e armazenando seus resultados em um arquivo targets.json.

Para fazer a solicitação, substitua o texto do placeholder em uma das abas a seguir ou crie seu próprio script em outro idioma.

# Sets the `Authorization` header on every scrape
# request with the username and password from the
# previous step. The URL that Prometheus fetches the
# targets from.
# Replace the <group-id> with the project ID of your
# Atlas instance.
curl --header 'Accept: application/json' \
--user <username>:<password> \
--request GET "https://cloud.mongodb.com/prometheus/v1.0/groups/{GROUP-ID}/discovery"

Se você precisar instalar a biblioteca de requests, consulte o Guia de instalação.

import time, json, requests
# This script sets the `Authorization` header on every
# scrape request with the configured username and
# password. Then it tells Prometheus to fetch targets
# from the specified URL.
#
# Note: Replace the <username> and <password> with the
# values in the previous step, and <group-id> with the
# project ID of your Atlas instance.
basic_auth_user="<username>"
basic_auth_password="<password>"
discovery_api_url="https://cloud.mongodb.com/prometheus/v1.0/groups/{GROUP-ID}/discovery"
# The script updates your targets.json file every
# minute, if it successfully retrieves targets.
#
# Note: Replace the <path-to-targets.json> with the
# path to your targets.json file.
starttime = time.time()
while True:
r = requests.get(discovery_api_url, auth=(basic_auth_user, basic_auth_password))
if r.status_code == 200:
with open('<path-to-targets.json>', 'w') as f:
json.dump(r.json(), f)
time.sleep(60.0 - ((time.time() - starttime) % 60.0))

Para saber mais sobre a API de descoberta, consulte Retornar as últimas segmentações para Prometeus.

7
8
  1. Copie o trecho gerado na seção scrape_configs do seu arquivo de configuração e substitua o texto do espaço reservado.

    Para obter um exemplo do arquivo de configuração em qualquer um dos métodos, consulte Configurações de exemplo.

  2. Reinicie sua instância Prometheus.

  3. Na sua instância do Prometheus, clique em Status na barra de navegação superior e clique em Targets para ver as métricas de sua implantação.

A seguir, mostramos exemplos do arquivo de configuração quando você usa o método HTTP Service Descoberta de ou Descoberta de Serviço de Arquivo .

O arquivo de configuração em ambos os métodos contém os seguintes campos:

Campo
Descrição

scrape_interval

Tempo que indica a frequência de raspagem dos alvos. Esta configuração suporta um tempo mínimo de 10s.

job_name

Etiqueta legível por humanos atribuída a métricas raspadas.

metrics_path

Caminho do recurso HTTP que indica onde buscar métricas dos destinos.

scheme

Seu esquema de protocolo Prometheus configurado para solicitações, http ou https. Se você configurar o https, deverá especificar o tlsPemPath.

basic_auth

Cabeçalho de autorização para usar em cada solicitação de raspagem.

O método de descoberta de HTTP Service também contém o campo http_sd_configs com os seguintes subcampos:

Campo
Descrição

url

URL a partir da qual Prometheus obtém os alvos.

refresh_interval

Hora que indica quando fazer query novamente do endpoint.

basic_auth

Credenciais a serem usadas para autenticação no servidor API.

global:
scrape_interval: 15s
scrape_configs:
- job_name: "CM-Testing-mongo-metrics"
scrape_interval: 10s
metrics_path: /metrics
scheme : https
basic_auth:
username: prom_user_61e6e34e93eac1632d39f457
password: V7hTyLfkjwiWQbv
http_sd_configs:
- url: https://cloud.mongodb.com/prometheus/v1.0/groups/61e6e34e93eac1632d39f457/discovery
refresh_interval: 60s
basic_auth:
username: prom_user_61e6e34e93eac1632d39f457
password: V7hTyLfkjwiWQbv

O método Descoberta de Serviço de Arquivo também contém o campo file_sd_configs com o seguinte subcampo:

Campo
Descrição

files

Lista que contém os arquivos dos quais extrair os alvos de raspagem de métricas.

global:
scrape_interval: 15s
scrape_configs:
- job_name: "CM-Testing-mongo-metrics"
scrape_interval: 10s
metrics_path: /metrics
scheme : https
basic_auth:
username: prom_user_61e6e34e93eac1632d39f457
password: V7hTyLfkjwiWQbv
file_sd_configs:
- files:
- /usr/local/etc/targets.json

Para importar uma amostra do dashboard do Grafana:

1

Na interface do usuário do Grafana, clique no botão e depois Import em .

2
3

1{
2 "__inputs": [
3 {
4 "name": "DS_THANOS",
5 "label": "thanos",
6 "description": "",
7 "type": "datasource",
8 "pluginId": "prometheus",
9 "pluginName": "Prometheus"
10 }
11 ],
12 "__elements": [],
13 "__requires": [
14 {
15 "type": "grafana",
16 "id": "grafana",
17 "name": "Grafana",
18 "version": "8.5.6"
19 },
20 {
21 "type": "panel",
22 "id": "graph",
23 "name": "Graph (old)",
24 "version": ""
25 },
26 {
27 "type": "datasource",
28 "id": "prometheus",
29 "name": "Prometheus",
30 "version": "1.0.0"
31 },
32 {
33 "type": "panel",
34 "id": "table",
35 "name": "Table",
36 "version": ""
37 }
38 ],
39 "annotations": {
40 "list": [
41 {
42 "builtIn": 1,
43 "datasource": {
44 "type": "datasource",
45 "uid": "grafana"
46 },
47 "enable": true,
48 "hide": true,
49 "iconColor": "rgba(0, 211, 255, 1)",
50 "name": "Annotations & Alerts",
51 "target": {
52 "limit": 100,
53 "matchAny": false,
54 "tags": [],
55 "type": "dashboard"
56 },
57 "type": "dashboard"
58 }
59 ]
60 },
61 "editable": true,
62 "fiscalYearStartMonth": 0,
63 "graphTooltip": 0,
64 "id": null,
65 "iteration": 1657202032408,
66 "links": [],
67 "liveNow": false,
68 "panels": [
69 {
70 "collapsed": false,
71 "datasource": {
72 "type": "prometheus",
73 "uid": "000000010"
74 },
75 "gridPos": {
76 "h": 1,
77 "w": 24,
78 "x": 0,
79 "y": 0
80 },
81 "id": 10,
82 "panels": [],
83 "title": "Overview",
84 "type": "row"
85 },
86 {
87 "datasource": {
88 "type": "prometheus",
89 "uid": "${DS_THANOS}"
90 },
91 "fieldConfig": {
92 "defaults": {
93 "color": {
94 "mode": "thresholds"
95 },
96 "custom": {
97 "align": "auto",
98 "displayMode": "auto",
99 "inspect": false
100 },
101 "decimals": 2,
102 "displayName": "",
103 "mappings": [],
104 "thresholds": {
105 "mode": "absolute",
106 "steps": [
107 {
108 "color": "green",
109 "value": null
110 },
111 {
112 "color": "red",
113 "value": 80
114 }
115 ]
116 },
117 "unit": "short"
118 },
119 "overrides": [
120 {
121 "matcher": {
122 "id": "byName",
123 "options": "Value"
124 },
125 "properties": [
126 {
127 "id": "unit",
128 "value": "short"
129 },
130 {
131 "id": "decimals",
132 "value": 2
133 },
134 {
135 "id": "custom.align"
136 }
137 ]
138 }
139 ]
140 },
141 "gridPos": {
142 "h": 4,
143 "w": 24,
144 "x": 0,
145 "y": 1
146 },
147 "id": 41,
148 "options": {
149 "footer": {
150 "fields": "",
151 "reducer": [
152 "sum"
153 ],
154 "show": false
155 },
156 "showHeader": true
157 },
158 "pluginVersion": "8.5.6",
159 "targets": [
160 {
161 "datasource": {
162 "type": "prometheus",
163 "uid": "${DS_THANOS}"
164 },
165 "exemplar": false,
166 "expr": "label_replace( sum(mongodb_info{group_id=~\"$group_id\", cl_name=~\"$cl_name\", instance=~\"$host.*\"}) by (group_id, org_id, rs_nm, cl_name), \"hostname\", \"$1\", \"instance\", \"(.*)\")\n",
167 "format": "table",
168 "instant": true,
169 "interval": "",
170 "legendFormat": "",
171 "refId": "A"
172 }
173 ],
174 "title": "Group Metadata",
175 "transformations": [
176 {
177 "id": "organize",
178 "options": {
179 "excludeByName": {
180 "Time": true,
181 "Value #A": true,
182 "instance": true,
183 "rs_nm": false
184 },
185 "indexByName": {
186 "": 2,
187 "Time": 0,
188 "Value #A": 6,
189 "cl_name": 4,
190 "group_id": 3,
191 "org_id": 1,
192 "rs_nm": 5
193 },
194 "renameByName": {
195 "": "Group Name ",
196 "Time": "",
197 "cl_name": "Cluster Name",
198 "group_id": "Group Id",
199 "hostname": "Host",
200 "instance": "",
201 "org_id": "Org Id",
202 "process_port": "Port",
203 "replica_state": "ReplicaSet State",
204 "rs_nm": "ReplicaSet Name"
205 }
206 }
207 },
208 {
209 "id": "groupBy",
210 "options": {
211 "fields": {
212 "Cluster Name": {
213 "aggregations": [],
214 "operation": "groupby"
215 },
216 "Group Id": {
217 "aggregations": [],
218 "operation": "groupby"
219 },
220 "Group Name ": {
221 "aggregations": [],
222 "operation": "groupby"
223 },
224 "Host": {
225 "aggregations": [],
226 "operation": "groupby"
227 },
228 "Host ": {
229 "aggregations": [],
230 "operation": "groupby"
231 },
232 "Org Id": {
233 "aggregations": [],
234 "operation": "groupby"
235 },
236 "Port": {
237 "aggregations": [],
238 "operation": "groupby"
239 },
240 "Replica set state": {
241 "aggregations": [],
242 "operation": "groupby"
243 },
244 "ReplicaSet Name": {
245 "aggregations": [],
246 "operation": "groupby"
247 },
248 "ReplicaSet State": {
249 "aggregations": [],
250 "operation": "groupby"
251 },
252 "host ": {
253 "aggregations": [],
254 "operation": "groupby"
255 },
256 "hostname": {
257 "aggregations": [],
258 "operation": "groupby"
259 },
260 "instance": {
261 "aggregations": [],
262 "operation": "groupby"
263 },
264 "port": {
265 "aggregations": [],
266 "operation": "groupby"
267 },
268 "process_port": {
269 "aggregations": [],
270 "operation": "groupby"
271 },
272 "replica set": {
273 "aggregations": [],
274 "operation": "groupby"
275 },
276 "replica set state": {
277 "aggregations": [],
278 "operation": "groupby"
279 },
280 "replica_state": {
281 "aggregations": [],
282 "operation": "groupby"
283 },
284 "rs_nm": {
285 "aggregations": [],
286 "operation": "groupby"
287 }
288 }
289 }
290 },
291 {
292 "id": "merge",
293 "options": {
294 "reducers": []
295 }
296 }
297 ],
298 "type": "table"
299 },
300 {
301 "datasource": {
302 "type": "prometheus",
303 "uid": "${DS_THANOS}"
304 },
305 "fieldConfig": {
306 "defaults": {
307 "color": {
308 "mode": "thresholds"
309 },
310 "custom": {
311 "align": "auto",
312 "displayMode": "auto",
313 "inspect": false
314 },
315 "decimals": 0,
316 "displayName": "",
317 "mappings": [],
318 "thresholds": {
319 "mode": "absolute",
320 "steps": [
321 {
322 "color": "green",
323 "value": null
324 },
325 {
326 "color": "red",
327 "value": 80
328 }
329 ]
330 },
331 "unit": "none"
332 },
333 "overrides": []
334 },
335 "gridPos": {
336 "h": 6,
337 "w": 24,
338 "x": 0,
339 "y": 5
340 },
341 "id": 42,
342 "options": {
343 "footer": {
344 "fields": "",
345 "reducer": [
346 "sum"
347 ],
348 "show": false
349 },
350 "showHeader": true
351 },
352 "pluginVersion": "8.5.6",
353 "targets": [
354 {
355 "datasource": {
356 "type": "prometheus",
357 "uid": "${DS_THANOS}"
358 },
359 "exemplar": false,
360 "expr": "label_replace( sum(mongodb_info{group_id=~\"$group_id\", cl_name=~\"$cl_name\", instance=~\"$host.*\"}) by (instance, replica_state_name, process_port, rs_nm, process_type), \"hostname\", \"$1\", \"instance\", \"(.*):.*\")\n",
361 "format": "table",
362 "instant": true,
363 "interval": "",
364 "legendFormat": "",
365 "refId": "A"
366 }
367 ],
368 "title": "Cluster host list",
369 "transformations": [
370 {
371 "id": "organize",
372 "options": {
373 "excludeByName": {
374 "Time": true,
375 "Value #A": true,
376 "instance": false,
377 "rs_nm": false
378 },
379 "indexByName": {
380 "Time": 0,
381 "Value": 6,
382 "instance": 1,
383 "process_port": 2,
384 "process_type": 4,
385 "replica_state_name": 5,
386 "rs_nm": 3
387 },
388 "renameByName": {
389 "Time": "",
390 "Value": "",
391 "hostname": "Host",
392 "instance": "Hostname",
393 "process_port": "Port",
394 "process_type": "Process Type",
395 "replica_state": "ReplicaSet State",
396 "replica_state_name": "Replica State",
397 "rs_nm": "ReplicaSet Name"
398 }
399 }
400 },
401 {
402 "id": "groupBy",
403 "options": {
404 "fields": {
405 "Host": {
406 "aggregations": [],
407 "operation": "groupby"
408 },
409 "Host ": {
410 "aggregations": [],
411 "operation": "groupby"
412 },
413 "Hostname": {
414 "aggregations": [],
415 "operation": "groupby"
416 },
417 "Port": {
418 "aggregations": [],
419 "operation": "groupby"
420 },
421 "Process Type": {
422 "aggregations": [],
423 "operation": "groupby"
424 },
425 "Replica State": {
426 "aggregations": [],
427 "operation": "groupby"
428 },
429 "Replica set state": {
430 "aggregations": [],
431 "operation": "groupby"
432 },
433 "ReplicaSet Name": {
434 "aggregations": [],
435 "operation": "groupby"
436 },
437 "ReplicaSet State": {
438 "aggregations": [],
439 "operation": "groupby"
440 },
441 "host ": {
442 "aggregations": [],
443 "operation": "groupby"
444 },
445 "hostname": {
446 "aggregations": [],
447 "operation": "groupby"
448 },
449 "instance": {
450 "aggregations": [],
451 "operation": "groupby"
452 },
453 "port": {
454 "aggregations": [],
455 "operation": "groupby"
456 },
457 "process_port": {
458 "aggregations": [],
459 "operation": "groupby"
460 },
461 "replica set": {
462 "aggregations": [],
463 "operation": "groupby"
464 },
465 "replica set state": {
466 "aggregations": [],
467 "operation": "groupby"
468 },
469 "replica_state": {
470 "aggregations": [],
471 "operation": "groupby"
472 },
473 "rs_nm": {
474 "aggregations": [],
475 "operation": "groupby"
476 }
477 }
478 }
479 },
480 {
481 "id": "merge",
482 "options": {
483 "reducers": []
484 }
485 }
486 ],
487 "type": "table"
488 },
489 {
490 "collapsed": false,
491 "datasource": {
492 "type": "prometheus",
493 "uid": "000000010"
494 },
495 "gridPos": {
496 "h": 1,
497 "w": 24,
498 "x": 0,
499 "y": 11
500 },
501 "id": 8,
502 "panels": [],
503 "title": "Memory",
504 "type": "row"
505 },
506 {
507 "aliasColors": {},
508 "bars": false,
509 "dashLength": 10,
510 "dashes": false,
511 "datasource": {
512 "type": "prometheus",
513 "uid": "${DS_THANOS}"
514 },
515 "description": "The number of megabytes resident. MMAPv1: It is typical over time, on a dedicated database server, for this number to approach the amount of physical ram on the box. WiredTiger: In a standard deployment resident is the amount of memory used by the WiredTiger cache plus the memory dedicated to other in memory structures used by the mongod process. By default, mongod with WiredTiger reserves 50% of the total physical memory on the server for the cache and at steady state, WiredTiger tries to limit cache usage to 80% of that total. For example, if a server has 16GB of memory, WiredTiger will assume it can use 8GB for cache and at steady state should use about 6.5GB.",
516 "fieldConfig": {
517 "defaults": {
518 "links": [],
519 "unit": "decmbytes"
520 },
521 "overrides": []
522 },
523 "fill": 1,
524 "fillGradient": 0,
525 "gridPos": {
526 "h": 8,
527 "w": 12,
528 "x": 0,
529 "y": 12
530 },
531 "hiddenSeries": false,
532 "id": 2,
533 "legend": {
534 "avg": false,
535 "current": false,
536 "max": false,
537 "min": false,
538 "show": true,
539 "total": false,
540 "values": false
541 },
542 "lines": true,
543 "linewidth": 1,
544 "nullPointMode": "null",
545 "options": {
546 "alertThreshold": true,
547 "legend": {
548 "calcs": [],
549 "displayMode": "list",
550 "placement": "bottom"
551 },
552 "tooltip": {
553 "mode": "single"
554 }
555 },
556 "percentage": false,
557 "pluginVersion": "8.5.6",
558 "pointradius": 2,
559 "points": false,
560 "renderer": "flot",
561 "seriesOverrides": [],
562 "spaceLength": 10,
563 "stack": false,
564 "steppedLine": false,
565 "targets": [
566 {
567 "exemplar": true,
568 "expr": "label_replace(sum(mongodb_mem_resident{group_id=~\"$group_id\", cl_name=~\"$cl_name\", rs_nm=~\"$rs_nm\", instance=~\"$host.*\", process_port=~\"$process_port\"}) by (instance, process_port) , \"hostname\", \"$1\", \"instance\", \"(.*)\")",
569 "interval": "",
570 "legendFormat": "{{hostname}}:{{process_port}}",
571 "refId": "A",
572 "datasource": {
573 "type": "prometheus",
574 "uid": "${DS_THANOS}"
575 }
576 }
577 ],
578 "thresholds": [],
579 "timeRegions": [],
580 "title": "Memory - Resident",
581 "tooltip": {
582 "shared": true,
583 "sort": 0,
584 "value_type": "individual"
585 },
586 "type": "graph",
587 "xaxis": {
588 "mode": "time",
589 "show": true,
590 "values": []
591 },
592 "yaxes": [
593 {
594 "format": "decmbytes",
595 "logBase": 1,
596 "show": true
597 },
598 {
599 "format": "short",
600 "logBase": 1,
601 "show": true
602 }
603 ],
604 "yaxis": {
605 "align": false
606 }
607 },
608 {
609 "aliasColors": {},
610 "bars": false,
611 "dashLength": 10,
612 "dashes": false,
613 "datasource": {
614 "type": "prometheus",
615 "uid": "${DS_THANOS}"
616 },
617 "description": "The virtual megabytes for the mongod process. MMAPv1: Generally virtual should be a little larger than mapped (or 2x with --journal), but if virtual is many gigabytes larger, it indicates that excessive memory is being used by other aspects than the memory mapping of files -- that would be bad/suboptimal. The most common case of usage of a high amount of memory for non-mapped is that there are very many connections to the database. Each connection has a thread stack and the memory for those stacks can add up to a considerable amount. WiredTiger: Generally virtual should be a little larger than mapped, but if virtual is many gigabytes larger, it indicates that excessive memory is being used by other aspects than the memory mapping of files -- that would be bad/suboptimal. The most common case of usage of a high amount of memory for non-mapped is that there are very many connections to the database. Each connection has a thread stack and the memory for those stacks can add up to a considerable amount.",
618 "fieldConfig": {
619 "defaults": {
620 "links": [],
621 "unit": "decmbytes"
622 },
623 "overrides": []
624 },
625 "fill": 1,
626 "fillGradient": 0,
627 "gridPos": {
628 "h": 8,
629 "w": 12,
630 "x": 12,
631 "y": 12
632 },
633 "hiddenSeries": false,
634 "id": 72,
635 "legend": {
636 "avg": false,
637 "current": false,
638 "max": false,
639 "min": false,
640 "show": true,
641 "total": false,
642 "values": false
643 },
644 "lines": true,
645 "linewidth": 1,
646 "nullPointMode": "null",
647 "options": {
648 "alertThreshold": true,
649 "legend": {
650 "calcs": [],
651 "displayMode": "list",
652 "placement": "bottom"
653 },
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1002 "axisPlacement": "auto",
1003 "barAlignment": 0,
1004 "drawStyle": "line",
1005 "fillOpacity": 0,
1006 "gradientMode": "none",
1007 "hideFrom": {
1008 "legend": false,
1009 "tooltip": false,
1010 "viz": false
1011 },
1012 "lineInterpolation": "linear",
1013 "lineWidth": 1,
1014 "pointSize": 5,
1015 "scaleDistribution": {
1016 "type": "linear"
1017 },
1018 "showPoints": "auto",
1019 "spanNulls": false,
1020 "stacking": {
1021 "group": "A",
1022 "mode": "none"
1023 },
1024 "thresholdsStyle": {
1025 "mode": "off"
1026 }
1027 },
1028 "mappings": [],
1029 "thresholds": {
1030 "mode": "absolute",
1031 "steps": [
1032 {
1033 "color": "green",
1034 "value": null
1035 },
1036 {
1037 "color": "red",
1038 "value": 80
1039 }
1040 ]
1041 },
1042 "unit": "percent"
1043 },
1044 "overrides": [
1045 {
1046 "__systemRef": "hideSeriesFrom",
1047 "matcher": {
1048 "id": "byNames",
1049 "options": {
1050 "mode": "exclude",
1051 "names": [
1052 "host - banana-shard-00-01.faplr.mmscloudteam.com"
1053 ],
1054 "prefix": "All except:",
1055 "readOnly": true
1056 }
1057 },
1058 "properties": [
1059 {
1060 "id": "custom.hideFrom",
1061 "value": {
1062 "legend": false,
1063 "tooltip": false,
1064 "viz": true
1065 }
1066 }
1067 ]
1068 }
1069 ]
1070 },
1071 "gridPos": {
1072 "h": 7,
1073 "w": 5,
1074 "x": 0,
1075 "y": 24
1076 },
1077 "id": 19,
1078 "options": {
1079 "legend": {
1080 "calcs": [],
1081 "displayMode": "list",
1082 "placement": "bottom"
1083 },
1084 "tooltip": {
1085 "mode": "single"
1086 }
1087 },
1088 "targets": [
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1090 "exemplar": true,
1091 "expr": "label_replace( sum(rate(hardware_system_cpu_steal_milliseconds{group_id=~\"$group_id\", instance=~\"$host.*\"}[$interval]) / 10) by (instance) , \"hostname\", \"$1\", \"instance\", \"(.*):.*\")",
1092 "interval": "",
1093 "legendFormat": "host - {{hostname}}",
1094 "refId": "A"
1095 }
1096 ],
1097 "title": "System cpu - steal",
1098 "type": "timeseries"
1099 },
1100 {
1101 "datasource": null,
1102 "description": "The percentage of time the CPU spent servicing guest, which is included in user. For servers with more than 1 CPU core, this value can exceed 100%.\n",
1103 "fieldConfig": {
1104 "defaults": {
1105 "color": {
1106 "mode": "palette-classic"
1107 },
1108 "custom": {
1109 "axisLabel": "",
1110 "axisPlacement": "auto",
1111 "barAlignment": 0,
1112 "drawStyle": "line",
1113 "fillOpacity": 0,
1114 "gradientMode": "none",
1115 "hideFrom": {
1116 "legend": false,
1117 "tooltip": false,
1118 "viz": false
1119 },
1120 "lineInterpolation": "linear",
1121 "lineWidth": 1,
1122 "pointSize": 5,
1123 "scaleDistribution": {
1124 "type": "linear"
1125 },
1126 "showPoints": "auto",
1127 "spanNulls": false,
1128 "stacking": {
1129 "group": "A",
1130 "mode": "none"
1131 },
1132 "thresholdsStyle": {
1133 "mode": "off"
1134 }
1135 },
1136 "mappings": [],
1137 "thresholds": {
1138 "mode": "absolute",
1139 "steps": [
1140 {
1141 "color": "green",
1142 "value": null
1143 },
1144 {
1145 "color": "red",
1146 "value": 80
1147 }
1148 ]
1149 },
1150 "unit": "percent"
1151 },
1152 "overrides": []
1153 },
1154 "gridPos": {
1155 "h": 7,
1156 "w": 5,
1157 "x": 5,
1158 "y": 24
1159 },
1160 "id": 20,
1161 "options": {
1162 "legend": {
1163 "calcs": [],
1164 "displayMode": "list",
1165 "placement": "bottom"
1166 },
1167 "tooltip": {
1168 "mode": "single"
1169 }
1170 },
1171 "targets": [
1172 {
1173 "exemplar": true,
1174 "expr": "label_replace( sum(rate(hardware_system_cpu_guest_milliseconds{group_id=~\"$group_id\", instance=~\"$host.*\"}[$interval]) / 10) by (instance) , \"hostname\", \"$1\", \"instance\", \"(.*):.*\")",
1175 "interval": "",
1176 "legendFormat": "host - {{hostname}}",
1177 "refId": "A"
1178 }
1179 ],
1180 "title": "System cpu - guest",
1181 "type": "timeseries"
1182 },
1183 {
1184 "datasource": null,
1185 "description": "The percentage of time the CPU spent performing software interrupts. For servers with more than 1 CPU core, this value can exceed 100%.\n",
1186 "fieldConfig": {
1187 "defaults": {
1188 "color": {
1189 "mode": "palette-classic"
1190 },
1191 "custom": {
1192 "axisLabel": "",
1193 "axisPlacement": "auto",
1194 "barAlignment": 0,
1195 "drawStyle": "line",
1196 "fillOpacity": 0,
1197 "gradientMode": "none",
1198 "hideFrom": {
1199 "legend": false,
1200 "tooltip": false,
1201 "viz": false
1202 },
1203 "lineInterpolation": "linear",
1204 "lineWidth": 1,
1205 "pointSize": 5,
1206 "scaleDistribution": {
1207 "type": "linear"
1208 },
1209 "showPoints": "auto",
1210 "spanNulls": false,
1211 "stacking": {
1212 "group": "A",
1213 "mode": "none"
1214 },
1215 "thresholdsStyle": {
1216 "mode": "off"
1217 }
1218 },
1219 "mappings": [],
1220 "thresholds": {
1221 "mode": "absolute",
1222 "steps": [
1223 {
1224 "color": "green",
1225 "value": null
1226 },
1227 {
1228 "color": "red",
1229 "value": 80
1230 }
1231 ]
1232 },
1233 "unit": "percent"
1234 },
1235 "overrides": []
1236 },
1237 "gridPos": {
1238 "h": 7,
1239 "w": 5,
1240 "x": 10,
1241 "y": 24
1242 },
1243 "id": 21,
1244 "options": {
1245 "legend": {
1246 "calcs": [],
1247 "displayMode": "list",
1248 "placement": "bottom"
1249 },
1250 "tooltip": {
1251 "mode": "single"
1252 }
1253 },
1254 "targets": [
1255 {
1256 "exemplar": true,
1257 "expr": "label_replace( sum(rate(hardware_system_cpu_soft_irq_milliseconds{group_id=~\"$group_id\", instance=~\"$host.*\"}[$interval]) / 10) by (instance) , \"hostname\", \"$1\", \"instance\", \"(.*):.*\")",
1258 "interval": "",
1259 "legendFormat": "host - {{hostname}}",
1260 "refId": "A"
1261 }
1262 ],
1263 "title": "System cpu - softirq",
1264 "type": "timeseries"
1265 },
1266 {
1267 "datasource": null,
1268 "description": "The percentage of time the CPU spent performing hardware interrupts. For servers with more than 1 CPU core, this value can exceed 100%.\n",
1269 "fieldConfig": {
1270 "defaults": {
1271 "color": {
1272 "mode": "palette-classic"
1273 },
1274 "custom": {
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1276 "axisPlacement": "auto",
1277 "barAlignment": 0,
1278 "drawStyle": "line",
1279 "fillOpacity": 0,
1280 "gradientMode": "none",
1281 "hideFrom": {
1282 "legend": false,
1283 "tooltip": false,
1284 "viz": false
1285 },
1286 "lineInterpolation": "linear",
1287 "lineWidth": 1,
1288 "pointSize": 5,
1289 "scaleDistribution": {
1290 "type": "linear"
1291 },
1292 "showPoints": "auto",
1293 "spanNulls": false,
1294 "stacking": {
1295 "group": "A",
1296 "mode": "none"
1297 },
1298 "thresholdsStyle": {
1299 "mode": "off"
1300 }
1301 },
1302 "mappings": [],
1303 "thresholds": {
1304 "mode": "absolute",
1305 "steps": [
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1307 "color": "green",
1308 "value": null
1309 },
1310 {
1311 "color": "red",
1312 "value": 80
1313 }
1314 ]
1315 },
1316 "unit": "percent"
1317 },
1318 "overrides": []
1319 },
1320 "gridPos": {
1321 "h": 7,
1322 "w": 5,
1323 "x": 15,
1324 "y": 24
1325 },
1326 "id": 22,
1327 "options": {
1328 "legend": {
1329 "calcs": [],
1330 "displayMode": "list",
1331 "placement": "bottom"
1332 },
1333 "tooltip": {
1334 "mode": "single"
1335 }
1336 },
1337 "targets": [
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1341 "interval": "",
1342 "legendFormat": "host - {{hostname}}",
1343 "refId": "A"
1344 }
1345 ],
1346 "title": "System cpu - irq",
1347 "type": "timeseries"
1348 },
1349 {
1350 "datasource": null,
1351 "description": "The percentage of time the CPU spent waiting for IO operations to complete. For servers with more than 1 CPU core, this value can exceed 100%\n",
1352 "fieldConfig": {
1353 "defaults": {
1354 "color": {
1355 "mode": "palette-classic"
1356 },
1357 "custom": {
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1359 "axisPlacement": "auto",
1360 "barAlignment": 0,
1361 "drawStyle": "line",
1362 "fillOpacity": 0,
1363 "gradientMode": "none",
1364 "hideFrom": {
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1366 "tooltip": false,
1367 "viz": false
1368 },
1369 "lineInterpolation": "linear",
1370 "lineWidth": 1,
1371 "pointSize": 5,
1372 "scaleDistribution": {
1373 "type": "linear"
1374 },
1375 "showPoints": "auto",
1376 "spanNulls": false,
1377 "stacking": {
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1379 "mode": "none"
1380 },
1381 "thresholdsStyle": {
1382 "mode": "off"
1383 }
1384 },
1385 "mappings": [],
1386 "thresholds": {
1387 "mode": "absolute",
1388 "steps": [
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1390 "color": "green",
1391 "value": null
1392 },
1393 {
1394 "color": "red",
1395 "value": 80
1396 }
1397 ]
1398 },
1399 "unit": "percent"
1400 },
1401 "overrides": []
1402 },
1403 "gridPos": {
1404 "h": 7,
1405 "w": 5,
1406 "x": 0,
1407 "y": 31
1408 },
1409 "id": 23,
1410 "options": {
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1412 "calcs": [],
1413 "displayMode": "list",
1414 "placement": "bottom"
1415 },
1416 "tooltip": {
1417 "mode": "single"
1418 }
1419 },
1420 "targets": [
1421 {
1422 "exemplar": true,
1423 "expr": "label_replace(sum(rate(hardware_system_cpu_io_wait_milliseconds{group_id=~\"$group_id\", instance=~\"$host.*\"}[$interval]) / 10) by (instance) , \"hostname\", \"$1\", \"instance\", \"(.*):.*\")",
1424 "interval": "",
1425 "legendFormat": "host - {{hostname}}",
1426 "refId": "A"
1427 }
1428 ],
1429 "title": "System cpu - iowait",
1430 "type": "timeseries"
1431 },
1432 {
1433 "datasource": null,
1434 "description": "The percentage of time the CPU spent occupied by all processes with a positive nice value. For servers with more than 1 CPU core, this value can exceed 100%.\n",
1435 "fieldConfig": {
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1449 "tooltip": false,
1450 "viz": false
1451 },
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1454 "pointSize": 5,
1455 "scaleDistribution": {
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1457 },
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1459 "spanNulls": false,
1460 "stacking": {
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1463 },
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1466 }
1467 },
1468 "mappings": [],
1469 "thresholds": {
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1471 "steps": [
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1475 },
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1478 "value": 80
1479 }
1480 ]
1481 },
1482 "unit": "percent"
1483 },
1484 "overrides": []
1485 },
1486 "gridPos": {
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1488 "w": 5,
1489 "x": 5,
1490 "y": 31
1491 },
1492 "id": 24,
1493 "options": {
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1496 "displayMode": "list",
1497 "placement": "bottom"
1498 },
1499 "tooltip": {
1500 "mode": "single"
1501 }
1502 },
1503 "targets": [
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1505 "exemplar": true,
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1507 "interval": "",
1508 "legendFormat": "host - {{hostname}}",
1509 "refId": "A"
1510 }
1511 ],
1512 "title": "System cpu - nice",
1513 "type": "timeseries"
1514 },
1515 {
1516 "datasource": null,
1517 "description": "The percentage of time the CPU spent servicing operating system calls from all processes. For servers with more than 1 CPU core, this value can exceed 100%.\n",
1518 "fieldConfig": {
1519 "defaults": {
1520 "color": {
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1528 "fillOpacity": 0,
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1532 "tooltip": false,
1533 "viz": false
1534 },
1535 "lineInterpolation": "linear",
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1537 "pointSize": 5,
1538 "scaleDistribution": {
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1540 },
1541 "showPoints": "auto",
1542 "spanNulls": false,
1543 "stacking": {
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1545 "mode": "none"
1546 },
1547 "thresholdsStyle": {
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1549 }
1550 },
1551 "mappings": [],
1552 "thresholds": {
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1554 "steps": [
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1557 "value": null
1558 },
1559 {
1560 "color": "red",
1561 "value": 80
1562 }
1563 ]
1564 },
1565 "unit": "percent"
1566 },
1567 "overrides": []
1568 },
1569 "gridPos": {
1570 "h": 7,
1571 "w": 5,
1572 "x": 10,
1573 "y": 31
1574 },
1575 "id": 25,
1576 "options": {
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1579 "displayMode": "list",
1580 "placement": "bottom"
1581 },
1582 "tooltip": {
1583 "mode": "single"
1584 }
1585 },
1586 "targets": [
1587 {
1588 "exemplar": true,
1589 "expr": "label_replace( sum(rate(hardware_system_cpu_kernel_milliseconds{group_id=~\"$group_id\", instance=~\"$host.*\"}[$interval]) / 10) by (instance) , \"hostname\", \"$1\", \"instance\", \"(.*):.*\")",
1590 "interval": "",
1591 "legendFormat": "host - {{hostname}}",
1592 "refId": "A"
1593 }
1594 ],
1595 "title": "System cpu - kernel",
1596 "type": "timeseries"
1597 },
1598 {
1599 "datasource": null,
1600 "description": "The percentage of time the CPU spent servicing all user applications (not just MongoDB processes). For servers with more than 1 CPU core, this value can exceed 100%.\n",
1601 "fieldConfig": {
1602 "defaults": {
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1606 "custom": {
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1610 "drawStyle": "line",
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1612 "gradientMode": "none",
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1615 "tooltip": false,
1616 "viz": false
1617 },
1618 "lineInterpolation": "linear",
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1620 "pointSize": 5,
1621 "scaleDistribution": {
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1623 },
1624 "showPoints": "auto",
1625 "spanNulls": false,
1626 "stacking": {
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1629 },
1630 "thresholdsStyle": {
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1632 }
1633 },
1634 "mappings": [],
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1637 "steps": [
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1639 "color": "green",
1640 "value": null
1641 },
1642 {
1643 "color": "red",
1644 "value": 80
1645 }
1646 ]
1647 },
1648 "unit": "percent"
1649 },
1650 "overrides": []
1651 },
1652 "gridPos": {
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1654 "w": 5,
1655 "x": 15,
1656 "y": 31
1657 },
1658 "id": 26,
1659 "options": {
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1662 "displayMode": "list",
1663 "placement": "bottom"
1664 },
1665 "tooltip": {
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1667 }
1668 },
1669 "targets": [
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1671 "exemplar": true,
1672 "expr": "label_replace( sum(rate(hardware_system_cpu_user_milliseconds{group_id=~\"$group_id\", instance=~\"$host.*\"}[$interval]) / 10) by (instance) , \"hostname\", \"$1\", \"instance\", \"(.*):.*\")",
1673 "interval": "",
1674 "legendFormat": "host - {{hostname}}",
1675 "refId": "A"
1676 }
1677 ],
1678 "title": "System cpu - user",
1679 "type": "timeseries"
1680 },
1681 {
1682 "collapsed": false,
1683 "datasource": null,
1684 "gridPos": {
1685 "h": 1,
1686 "w": 24,
1687 "x": 0,
1688 "y": 38
1689 },
1690 "id": 44,
1691 "panels": [],
1692 "title": "Normalized System Cpu",
1693 "type": "row"
1694 },
1695 {
1696 "datasource": null,
1697 "description": "The percentage of time the CPU had something runnable, but the hypervisor chose to run something else. It is scaled to a range of 0-100% by dividing by the number of CPU cores.\n",
1698 "fieldConfig": {
1699 "defaults": {
1700 "color": {
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1703 "custom": {
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1712 "tooltip": false,
1713 "viz": false
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1715 "lineInterpolation": "linear",
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1717 "pointSize": 5,
1718 "scaleDistribution": {
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1720 },
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1723 "stacking": {
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1726 },
1727 "thresholdsStyle": {
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1729 }
1730 },
1731 "mappings": [],
1732 "thresholds": {
1733 "mode": "absolute",
1734 "steps": [
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1736 "color": "green",
1737 "value": null
1738 },
1739 {
1740 "color": "red",
1741 "value": 80
1742 }
1743 ]
1744 },
1745 "unit": "percent"
1746 },
1747 "overrides": [
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1749 "__systemRef": "hideSeriesFrom",
1750 "matcher": {
1751 "id": "byNames",
1752 "options": {
1753 "mode": "exclude",
1754 "names": [
1755 "host - banana-shard-00-01.faplr.mmscloudteam.com"
1756 ],
1757 "prefix": "All except:",
1758 "readOnly": true
1759 }
1760 },
1761 "properties": [
1762 {
1763 "id": "custom.hideFrom",
1764 "value": {
1765 "legend": false,
1766 "tooltip": false,
1767 "viz": true
1768 }
1769 }
1770 ]
1771 }
1772 ]
1773 },
1774 "gridPos": {
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1776 "w": 5,
1777 "x": 0,
1778 "y": 39
1779 },
1780 "id": 46,
1781 "options": {
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1784 "displayMode": "list",
1785 "placement": "bottom"
1786 },
1787 "tooltip": {
1788 "mode": "single"
1789 }
1790 },
1791 "targets": [
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1794 "expr": "label_replace( sum(rate(hardware_system_cpu_steal_milliseconds{group_id=~\"$group_id\", instance=~\"$host.*\"}[$interval]) / (10 * hardware_platform_num_logical_cpus{group_id=~\"$group_id\", instance=~\"$host.*\"})) by (instance) , \"hostname\", \"$1\", \"instance\", \"(.*):.*\")",
1795 "interval": "",
1796 "legendFormat": "host - {{hostname}}",
1797 "refId": "A"
1798 }
1799 ],
1800 "title": "Normalized System cpu - steal",
1801 "type": "timeseries"
1802 },
1803 {
1804 "datasource": null,
1805 "description": "The percentage of time the CPU spent servicing guest, which is included in user. It is scaled to a range of 0-100% by dividing by the number of CPU cores.\n",
1806 "fieldConfig": {
1807 "defaults": {
1808 "color": {
1809 "mode": "palette-classic"
1810 },
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1813 "axisPlacement": "auto",
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1815 "drawStyle": "line",
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1820 "tooltip": false,
1821 "viz": false
1822 },
1823 "lineInterpolation": "linear",
1824 "lineWidth": 1,
1825 "pointSize": 5,
1826 "scaleDistribution": {
1827 "type": "linear"
1828 },
1829 "showPoints": "auto",
1830 "spanNulls": false,
1831 "stacking": {
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1833 "mode": "none"
1834 },
1835 "thresholdsStyle": {
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1837 }
1838 },
1839 "mappings": [],
1840 "thresholds": {
1841 "mode": "absolute",
1842 "steps": [
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1844 "color": "green",
1845 "value": null
1846 },
1847 {
1848 "color": "red",
1849 "value": 80
1850 }
1851 ]
1852 },
1853 "unit": "percent"
1854 },
1855 "overrides": []
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1864 "options": {
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1882 ],
1883 "title": "Normalized System cpu - guest",
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1942 "w": 5,
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1964 }
1965 ],
1966 "title": "Normalized System cpu - softirq",
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1968 },
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2018 },
2019 "unit": "percent"
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2047 }
2048 ],
2049 "title": "Normalized System cpu - irq",
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2051 },
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2087 },
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2111 },
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2119 "tooltip": {
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2130 }
2131 ],
2132 "title": "Normalized System cpu - iowait",
2133 "type": "timeseries"
2134 },
2135 {
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2187 "overrides": []
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2213 }
2214 ],
2215 "title": "Normalized System cpu - nice",
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2217 },
2218 {
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2220 "description": "The percentage of time the CPU spent servicing operating system calls from all processes. It is scaled to a range of 0-100% by dividing by the number of CPU cores.\n",
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2265 }
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2270 "overrides": []
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2279 "options": {
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2296 }
2297 ],
2298 "title": "Normalized System cpu - kernel",
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2301 {
2302 "datasource": null,
2303 "description": "The percentage of time the CPU spent servicing all user applications (not just MongoDB processes). It is scaled to a range of 0-100% by dividing by the number of CPU cores.\n",
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2336 },
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2344 },
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2348 }
2349 ]
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2351 "unit": "percent"
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2353 "overrides": []
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2362 "options": {
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2371 },
2372 "targets": [
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2379 }
2380 ],
2381 "title": "Normalized System cpu - user",
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2383 },
2384 {
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2386 "datasource": null,
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2393 "id": 28,
2394 "panels": [],
2395 "title": "System Network",
2396 "type": "row"
2397 },
2398 {
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2425 "spanNulls": false,
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2433 },
2434 "mappings": [],
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2445 }
2446 ]
2447 },
2448 "unit": "Bps"
2449 },
2450 "overrides": []
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2454 "w": 10,
2455 "x": 0,
2456 "y": 54
2457 },
2458 "id": 73,
2459 "options": {
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2465 "tooltip": {
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2467 }
2468 },
2469 "targets": [
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2474 "legendFormat": "host - {{hostname}}",
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2476 }
2477 ],
2478 "title": "Network bytes In",
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2480 },
2481 {
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2483 "description": "The average rate of physical bytes transmitted per second by the eth0 network interface",
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2509 "stacking": {
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2515 }
2516 },
2517 "mappings": [],
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2524 },
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2528 }
2529 ]
2530 },
2531 "unit": "Bps"
2532 },
2533 "overrides": []
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2535 "gridPos": {
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2538 "x": 10,
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2540 },
2541 "id": 74,
2542 "options": {
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2548 "tooltip": {
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2550 }
2551 },
2552 "targets": [
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2556 "interval": "",
2557 "legendFormat": "host - {{hostname}}",
2558 "refId": "A"
2559 }
2560 ],
2561 "title": "Network bytes Out",
2562 "type": "timeseries"
2563 },
2564 {
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2566 "datasource": null,
2567 "gridPos": {
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2570 "x": 0,
2571 "y": 63
2572 },
2573 "id": 30,
2574 "panels": [],
2575 "title": "System Disk",
2576 "type": "row"
2577 },
2578 {
2579 "datasource": null,
2580 "description": "The total bytes of free disk space on the disk partition used by MongoDB.\n",
2581 "fieldConfig": {
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2586 "custom": {
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2596 "viz": false
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2601 "scaleDistribution": {
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2606 "stacking": {
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2612 }
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2625 }
2626 ]
2627 },
2628 "unit": "decbytes"
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2630 "overrides": []
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2634 "w": 6,
2635 "x": 0,
2636 "y": 64
2637 },
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2639 "options": {
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2645 "tooltip": {
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2647 }
2648 },
2649 "targets": [
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2652 "expr": "label_replace( sum(hardware_disk_metrics_disk_space_free_bytes{group_id=~\"$group_id\", instance=~\"$host.*\"}) by (instance, disk_name) , \"hostname\", \"$1\", \"instance\", \"(.*):.*\")",
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2656 }
2657 ],
2658 "title": "System Disk - Free",
2659 "type": "timeseries"
2660 },
2661 {
2662 "datasource": null,
2663 "description": "The percent of free disk space on the partition used by MongoDB.\n",
2664 "fieldConfig": {
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4202 },
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4206 "value": "30s"
4207 },
4208 {
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4213 {
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4218 {
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4223 {
4224 "selected": false,
4225 "text": "1h",
4226 "value": "1h"
4227 },
4228 {
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4230 "text": "1d",
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4232 }
4233 ],
4234 "query": "30s,1m,5m,30m,1h,1d",
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4241 },
4242 "time": {
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4244 "to": "now"
4245 },
4246 "timepicker": {},
4247 "timezone": "",
4248 "title": "Hardware Metrics - Atlas - new",
4249 "uid": "7LTNNcpnzsasddsd",
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4251}

Para saber mais sobre como importar dashboards do Grafana, consulte a documentação do Grafana.

As seguintes métricas estão disponíveis quando você usa o Prometeus integração com seu MongoDB Atlas cluster:

Cada métrica MongoDB contém os seguintes rótulos:

etiqueta
Descrição

group_id

Sequência única de dígitos hexadecimais que identifica o projeto.

org_id

Sequência única de dígitos hexadecimais que identifica a organização.

cl_role

Rótulo legível por humanos que define a função do cluster.

cl_name

Etiqueta legível por humanos que identifica o cluster.

rs_nm

Etiqueta legível por humanos que identifica o conjunto de réplicas.

rs_state

process_port

Porta na qual o processo é executado.

mongodb_info é um medidor que sempre tem o valor de 1. Essa métrica contém todos os rótulos de métrica do MongoDB e também os seguintes rótulos:

etiqueta
Descrição

mongodb_version

String que representa as versões principais, secundárias e de patch.

replica_state_name

process_type

String que indica o processo em execução. Seus valores podem ser mongod, mongos ou config.

Observação

Você também pode visualizar descrições de cada métrica de hardware no navegador de expressão Prometheus.

Nome
Sistema operacional
Tipo
Descrição

hardware_system_cpu_nice

Unix, darwin

Contador

Tempo gasto no modo de usuário com baixa prioridade.

hardware_system_cpu_io_wait

Unix

Contador

Tempo aguardando a conclusão da E/S.

hardware_system_cpu_irq

Unix

Contador

O tempo gasto na manutenção interrompe.

hardware_system_cpu_soft_irq

Unix

Contador

Tempo gasto na manutenção do softirq.

hardware_system_cpu_steal

Unix

Contador

Tempo gasto em outros sistemas operacionais ao executar em um ambiente virtual.

hardware_system_cpu_guest

Unix

Contador

Tempo gasto executando uma CPU virtual para os sistemas operacionais convidados sob o controle do kernel Linux.

hardware_system_cpu_guest_nice

Unix

Contador

Tempo gasto administrando um convidado com uma gentileza ajustada.

hardware_system_cpu_kernel_milliseconds

Todos

Contador

Tempo gasto no modo de sistema.

hardware_system_cpu_user_milliseconds

Todos

Contador

Tempo gasto no modo de usuário.

hardware_disk_metrics_weighted_time_io

Unix

Contador

Tempo ponderado gasto fazendo E/S.

hardware_disk_metrics_physical_write_count

Unix

Contador

Número de E/S de gravação física processadas.

hardware_disk_metrics_physical_read_count

Unix

Contador

Número de E/S de leitura física processadas.

hardware_disk_metrics_total_time

Unix

Contador

Total de vezes que este dispositivo de bloqueio estiver ativo.

hardware_disk_metrics_idle_time

Windows

Contador

Tempo gasto na tarefa ociosa.

hardware_disk_metrics_disk_space_free_bytes

Todos

Medidor

Espaço em disco disponível no sistema de arquivos montado.

hardware_disk_metrics_disk_space_used_bytes

Todos

Medidor

Espaço em disco usado no sistema de arquivos montado.

hardware_disk_metrics_read_count

Todos

Contador

Número de E/S lidas processadas.

hardware_disk_metrics_read_time_milliseconds

Todos

Contador

Tempo total de espera para solicitações de leitura.

hardware_disk_metrics_write_count

Todos

Contador

Número de E/S de gravação processadas.

hardware_disk_metrics_write_time_milliseconds

Todos

Contador

Tempo total de espera para solicitações de gravação.

hardware_process_cpu_children_user

Unix

Contador

Período programado no modo de usuário para que esse processo aguarde as crianças.

hardware_process_cpu_children_kernel

Unix

Contador

Período agendado no modo kernel para que esse processo aguarde pelos filhos.

hardware_process_cpu_kernel_milliseconds

Todos

Contador

Período programado no modo kernel para esse processo.

hardware_process_cpu_user_milliseconds

Todos

Contador

Período agendado no modo de usuário para esse processo.

hardware_system_vm_page_swap_in

Unix

Contador

Número de páginas que o sistema trocou do disco.

hardware_system_vm_page_swap_out

Unix

Contador

Número de páginas que o sistema trocou para o disco.

hardware_system_memory_mem_total

Unix

Medidor

RAM utilizável total (RAM física menos alguns bits reservados e o código binário do kernel).

hardware_system_memory_mem_free

Unix

Medidor

Soma de LowFree + HighFree.

hardware_system_memory_mem_available

Unix

Medidor

Uma estimativa de quanta memória está disponível para iniciar novos aplicativos, sem troca.

hardware_system_memory_buffers

Unix

Medidor

Armazenamento temporário para blocos de disco brutos que não devem ser tremendamente grandes.

hardware_system_memory_cached

Unix

Medidor

Cache na memória para arquivos lidos do disco. Isso não inclui SwapCached.

hardware_system_memory_swap_total

Unix

Medidor

Quantidade total de espaço disponível para troca.

hardware_system_memory_swap_free

Unix

Medidor

Quantidade total de espaço de troca não utilizado.

hardware_system_memory_shared_mem

Unix

Medidor

Quantidade de memória consumida em sistemas de arquivos cujo conteúdo reside na memória virtual.

hardware_system_memory_swap_free_kilobytes

Todos

Medidor

Quantidade total de espaço de troca não utilizado.

hardware_system_memory_swap_total_kilobytes

Todos

Medidor

Quantidade total de espaço disponível para troca.

hardware_platform_num_logical_cpus

Todos

Medidor

Número de CPUs lógicas utilizáveis pelo processo atual.

hardware_system_network_eth0_bytes_in_bytes

Todos

Contador

Número de bytes de dados recebidos pela interface.

hardware_system_network_eth0_bytes_out_bytes

Todos

Contador

Número de bytes de dados transmitidos pela interface.

hardware_system_network_lo_bytes_in_bytes

Todos

Contador

Número de bytes de dados recebidos pela interface.

hardware_system_network_lo_bytes_out_bytes

Todos

Contador

Número de bytes de dados transmitidos pela interface.

Cada métrica de hardware contém os seguintes rótulos:

etiqueta
Descrição

group_id

Sequência única de dígitos hexadecimais que identifica o projeto.

org_id

Sequência única de dígitos hexadecimais que identifica a organização.

process_port

Porta na qual o processo é executado.

disk_name

Etiqueta legível para humanos que identifica o disco.

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