Quote
This awesome collections is a place where store articles, blogs, tools and strategies to using monitoring and observability stack in your project
General
Repositories
- awesome-monitoring: List of tools for monitoring and analyze everything
- awesome-observability: Awesome observability page
- Awesome Prometheus alerts: Collection of alerting rules π (Recommended)
- Prometheus Helm Charts: Prometheus community Helm charts, mostly for database (PostgreSQL, MongoDB, β¦) π (Recommended)
- Grafana dashboards: Find the dashboard for your observability π (Recommended)
Technique Articles
- Medium - Observability Series: A Step-by-Step Guide to Logs, Traces, and Metrics
- Grafana - Private data source connect (PDC)
Technology Articles
- Medium - Grafana Alloy & OpenTelemetry
- Medium - SLOs should be easy, say hi to Sloth
- Medium - Observability 2.0 with AWS OpenTelemetry Collector
- DevOps Cube - Prometheus Architecture: Complete Breakdown of Key Components
- Medium - 6 Best Free OnCall Software in 2024, Open-Source and SaaS
- Medium - 11 Automation Scripts for Prometheus Configurations.
Tools
Alert / On Call Tools
- calert: π Send alert notifications to Google Chat via Prometheus Alertmanager
- elastalert2: Β A simple framework for alerting on anomalies, spikes, or other patterns of interest from data inΒ ElasticsearchΒ andΒ OpenSearch π (Recommended)
- versus-incident: An incident management tool supporting multi-channel alerting, customizable messages, and on-call integrations
Application Performance Monitoring (APM)
- openreplay: Session replay and analytics tool you can self-host. Ideal for reproducing issues, co-browsing with users and optimizing your product.
- Sentry: Developer-first error tracking and performance monitoring π (Recommended)
GPU Monitoring
- dcgm: Manage and Monitor GPUs in Cluster Environments π (Recommended)
- nvitop: An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management
Monitoring Stacks
-
ELK: Combination from four main components. Guide, Helm and Docker π (Recommended)
- Beats: lightweight, single-purpose data shippers that can send data from hundreds or thousands of machines to either Logstash or Elasticsearch.
- Elasticsearch: a distributedΒ RESTΒ search engine which stores all of the collected data.
- Kibana: a web interface for searching and visualizing logs.
- Logstash: the data processing component of the Elastic Stack which sends incoming data to Elasticsearch.
-
Grafana Stack: Ecosystem of Grafana for providing monitor methodology for your application, container, nodes and moreover π (Recommended)
- Agent: alloy, agent, mimir
- Alert: AlertManger
- Dashboard: FlameGraph - (Pyroscope), gitana
- Installer: Helm and Guide
- Logging: fluentd, fluent-bit, loki, promtail
- Metrics: prometheus, cadvisor, node_exporter, thanos
- Profiling: pyroscope
- SLO: sloth
- Traces: jaeger, OpenTelemetry, tempo
-
VictoriaMetrics Stack: New monitoring solution for both metrics and logs
- VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database
- VictoriaLogs isΒ open sourceΒ user-friendly database for logs fromΒ VictoriaMetrics.
-
zabbix: Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud.
Uptime Monitoring
- uptime-kuma: A fancy self-hosted monitoring tool π (Recommended)
Web Analytics
- Plausible: Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
- umami: Umami is a simple, fast, privacy-focused alternative to Google Analytics π (Recommended)
Docker Collections
Info
The place where store and reuse
Dockerfileanddocker-commposein use for monitoring cluster
Grafana, Prometheus and Exporter
# Author: XeusNguyen - NTMA for Anomally Detection
# Github: https://github.com/Xeus-Territory/ntma_anomaly/blob/main/Infrastructure/docker/get-data-metric-compose.yaml
version: '3'
volumes:
prometheus_data: {}
grafana_data: {}
alertmanager_data: {}
networks:
monitoring:
external: true
services:
prometheus:
image: prom/prometheus:v2.37.6
deploy:
resources:
limits:
cpus: '0.50'
memory: 500M
container_name: prometheus
restart: unless-stopped
healthcheck:
test: wget --quiet --tries=1 --spider http://localhost:9090
interval: 30s
timeout: 10s
retries: 5
command:
- '--config.file=/etc/prometheus/prometheus.yml'
-
- '--web.enable-lifecycle'
- '--storage.tsdb.path=/prometheus'
volumes:
- prometheus_data:/prometheus
- ./conf/monitoring/prometheus/:/etc/prometheus/
ports:
- 9090:9090
labels:
org.label-schema.group: "monitoring"
networks:
- "monitoring"
alertmanager:
image: prom/alertmanager:v0.25.0
deploy:
resources:
limits:
cpus: '0.10'
memory: 100M
container_name: alert-manager
restart: unless-stopped
healthcheck:
test: wget --quiet --tries=1 --spider http://localhost:9093
interval: 30s
timeout: 10s
retries: 5
command:
- '--config.file=/etc/alertmanager/alertmanager.yml'
- '--storage.path=/alertmanager'
ports:
- 9093:9093
volumes:
- alertmanager_data:/alertmanager
- ./conf/monitoring/alertmanager/:/etc/alertmanager/
depends_on:
- prometheus
labels:
org.label-schema.group: "monitoring"
networks:
- "monitoring"
grafana:
image: grafana/grafana:9.4.3
deploy:
resources:
limits:
cpus: '0.50'
memory: 500M
container_name: grafana
restart: unless-stopped
healthcheck:
test: wget --quiet --tries=1 --spider http://localhost:3000
interval: 30s
timeout: 10s
retries: 5
ports:
- 3000:3000
environment:
- GF_USERS_ALLOW_SIGN_UP=false
volumes:
- grafana_data:/var/lib/grafana
- ./conf/monitoring/grafana/provisioning:/etc/grafana/provisioning
labels:
org.label-schema.group: "monitoring"
networks:
- "monitoring"
nginxlog_exporter:
image: quay.io/martinhelmich/prometheus-nginxlog-exporter:v1.10.0
deploy:
resources:
limits:
cpus: '0.50'
memory: 200M
container_name: nginxlog-exporter
command:
- '--config-file=/etc/prometheus-nginxlog-exporter.yml'
ports:
- 4040:4040
volumes:
- ./log/access.log:/mnt/nginxlogs/access.log
- ./conf/nginxlog/nginxlog_exporter.yml:/etc/prometheus-nginxlog-exporter.yml
labels:
org.label-schema.group: "monitoring"
networks:
- "monitoring"Grafana Dashboard Collections
Awesome Dashboard
- PostgreSQL Database: Detail with useful information about PostgreSQL π (Recommended)
- HAMI vGPU: Use for monitoring vGPU in Kubernetes Cluster π (Recommended)
- Certificates Expiration (X509 Certificate Exporter): Monitoring time expire of X509 Certificate (Useful for RKE2, K3s, β¦) π (Recommended)
Azure PostgreSQL Queries Performance
Info
This dashboard template which i make for Grafana with purpose monitoring queries in PostgreSQL. To understanding about this, go and check Monitoring Performance of PostgreSQL
{
"__inputs": [
{
"name": "DS_POSTGRESQL",
"label": "PostgreSQL",
"description": "",
"type": "datasource",
"pluginId": "postgres",
"pluginName": "PostgreSQL"
}
],
"__elements": {},
"__requires": [
{
"type": "panel",
"id": "barchart",
"name": "Bar chart",
"version": ""
},
{
"type": "panel",
"id": "bargauge",
"name": "Bar gauge",
"version": ""
},
{
"type": "panel",
"id": "gauge",
"name": "Gauge",
"version": ""
},
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "9.1.7"
},
{
"type": "panel",
"id": "piechart",
"name": "Pie chart",
"version": ""
},
{
"type": "datasource",
"id": "postgres",
"name": "PostgreSQL",
"version": "1.0.0"
},
{
"type": "panel",
"id": "table",
"name": "Table",
"version": ""
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "grafana",
"uid": "-- Grafana --"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
"limit": 100,
"matchAny": false,
"tags": [],
"type": "dashboard"
},
"type": "dashboard"
}
]
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": null,
"links": [],
"liveNow": false,
"panels": [
{
"collapsed": true,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 47,
"panels": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Long-running transactions can consume CPU resources that can lead to high CPU utilization.",
"fieldConfig": {
"defaults": {
"custom": {
"align": "auto",
"displayMode": "auto",
"filterable": true,
"inspect": true
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 11,
"x": 0,
"y": 1
},
"id": 45,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT pid, usename, datname, query, now() - xact_start as duration \nFROM pg_stat_activity \nWHERE pid <> pg_backend_pid() and state IN ('idle in transaction', 'active') \nORDER BY duration DESC; ",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Long-running transactions",
"transparent": true,
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Helps identify queries that consume I/O on the server",
"fieldConfig": {
"defaults": {
"custom": {
"align": "auto",
"displayMode": "auto",
"filterable": true,
"inspect": true
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 13,
"x": 11,
"y": 1
},
"id": 53,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT userid::regrole, dbid, query, calls\nFROM pg_stat_statements \nORDER BY blk_read_time + blk_write_time desc \nLIMIT 5;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": " Identify high I/O utilization",
"transparent": true,
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "A large number of connections to the database is also another issue that might lead to increased CPU and memory utilization.\n\n",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlPu"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 6,
"x": 0,
"y": 8
},
"id": 49,
"options": {
"displayMode": "gradient",
"minVizHeight": 10,
"minVizWidth": 0,
"orientation": "horizontal",
"reduceOptions": {
"calcs": [],
"fields": "",
"values": true
},
"showUnfilled": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT state, count(*) \nFROM pg_stat_activity \nWHERE pid <> pg_backend_pid() \nGROUP BY 1 ORDER BY 1;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Total number of connections and number connections by state",
"transparent": true,
"type": "bargauge"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Keeping table statistics up to date helps improve query performance. Monitor whether regular autovacuuming is being carried out.",
"fieldConfig": {
"defaults": {
"custom": {
"align": "auto",
"displayMode": "auto",
"filterable": true,
"inspect": true
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 18,
"x": 6,
"y": 8
},
"id": 51,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select schemaname,relname,n_dead_tup,n_live_tup,last_vacuum,last_analyze,last_autovacuum,last_autoanalyze \nfrom pg_stat_all_tables where n_live_tup > 0;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Monitoring vacuum and table stats",
"transparent": true,
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "It provides a resultset sorted by the mist CPU-intensive queries in descending order",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"filterable": true,
"inspect": true
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 10,
"w": 24,
"x": 0,
"y": 17
},
"id": 55,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "Select pss.userid, pss.dbid, pd.datname as db_name, pss.total_time,\n pss.calls,\n pss.mean_time as mean,\n round((100 * (pss.total_time) / sum ((pss.total_time)::numeric) OVER ()) :: numeric, 2) as cpu_portion_pctg, pss.query\nFrom pg_stat_statements as pss, pg_database as pd\nwhere pd.oid = pss.dbid\norder by pss.total_time\ndesc limit 30;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "How much each query in each database uses the CPU",
"transparent": true,
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "the top frequent PostgreSQL queries run the following SQL query ",
"fieldConfig": {
"defaults": {
"custom": {
"align": "auto",
"displayMode": "auto",
"filterable": true,
"inspect": true
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 10,
"w": 24,
"x": 0,
"y": 27
},
"id": 57,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": [
{
"desc": true,
"displayName": "runs_per_second"
}
]
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "with\na as (select dbid, queryid, query, calls s from pg_stat_statements),\nb as (select dbid, queryid, query, calls s from pg_stat_statements, pg_sleep(1))\nselect\n pd.datname as db_name, \n substr(a.query, 1, 2048) as the_query, \n sum(b.s-a.s) as runs_per_second\nfrom a, b, pg_database pd\nwhere \n a.dbid= b.dbid \nand \n a.queryid = b.queryid \nand \n pd.oid=a.dbid\ngroup by 1, 2\norder by 3 desc;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": " Running frequent SQL queries",
"transparent": true,
"type": "table"
}
],
"title": "Identify root causes (Use if has accident)",
"type": "row"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 1
},
"id": 29,
"panels": [],
"title": "Database Info and Special Info",
"type": "row"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Provide the size of database postgreSQL in currently",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlYlRd"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "MB"
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 9,
"x": 0,
"y": 2
},
"id": 31,
"options": {
"displayMode": "lcd",
"minVizHeight": 10,
"minVizWidth": 0,
"orientation": "horizontal",
"reduceOptions": {
"calcs": [],
"fields": "",
"values": true
},
"showUnfilled": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n datname as database_name,\n pg_database_size(datname)/1024/1024 as size\nFROM\n pg_database\nWHERE\n datistemplate = false;\n",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Size of a PostgreSQL Database",
"transparent": true,
"type": "bargauge"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "The PostgreSQL cache area is known as shared_buffers, which acts as the database layer cache on top of the cache provided by the operating system",
"fieldConfig": {
"defaults": {
"mappings": [],
"thresholds": {
"mode": "percentage",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 15,
"x": 9,
"y": 2
},
"id": 33,
"options": {
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": false
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n sum(heap_blks_read) as reads,\n sum(heap_blks_hit) as hits,\n ROUND(\n sum(heap_blks_hit) / (sum(heap_blks_hit) + sum(heap_blks_read)),\n 4\n ) as hit_ratio\nFROM\n pg_statio_user_tables;\n",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Database Cache-Hit Ratios",
"transparent": true,
"type": "gauge"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 11
},
"id": 2,
"panels": [],
"title": "Statistic Queries",
"type": "row"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Total time of queries, There one queries give for running on whole system",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
}
},
"mappings": []
},
"overrides": [
{
"__systemRef": "hideSeriesFrom",
"matcher": {
"id": "byNames",
"options": {
"mode": "exclude",
"names": [
"percent",
"total",
"calls",
"mean",
"stddev_time",
"UPDATE \"PlatformInboxEventBusMessage\" SET \"ConcurrencyUpdateToken\" = $1, \"ConsumeStatus\" = $2, \"ConsumerBy\" = $3, \"CreatedDate\" = $4, \"JsonMessage\" = $5, \"LastConsumeDate\" = $6, \"LastConsumeError\" = $7, \"MessageTypeFullName\" = $8, \"NextRetryProcessAfter\" = $9, \"ProduceFrom\" = $10, \"RetriedProcessCount\" = $11, \"RoutingKey\" = $12\nWHERE \"Id\" = $13 AND \"ConcurrencyUpdateToken\" = $14 percent",
"WITH \"s\" AS (\n INSERT INTO \"hangfire\".\"state\" (\"jobid\", \"name\", \"reason\", \"createdat\", \"data\")\n VALUES ($1, $2, $3, $4, $5) RETURNING \"id\"\n )\n UPDATE \"hangfire\".\"job\" \"j\"\n SET \"stateid\" = s.\"id\", \"statename\" = $2\n FROM \"s\"\n WHERE \"j\".\"id\" = $6 percent",
"SELECT t0.\"Id\", t0.\"HasInactiveParent\", t0.\"HierarchyPath\", t0.\"Name\", t0.\"OrganizationStatus\", t0.\"ParentOrganizationalUnitId\", t0.\"RootId\", t1.\"Id\", t1.\"CompanyId\", t1.\"CreatedBy\", t1.\"CreatedDate\", t1.\"LastUpdatedBy\", t1.\"LastUpdatedDate\", t1.\"TimeZone\", t1.\"AutoLock_IsEnable\", t1.\"AutoLock_LastCheckToTriggerLockTimeSheetCycle\", t1.\"AutoLock_LockTime\", t1.\"AutoLock_SendAfterDays\", t1.\"CycleSetting_EndDay\", t1.\"CycleSetting_IsLastDay\", t1.\"CycleSetting_NumberOfDisplay\", t1.\"CycleSetting_StartDay\", t1.\"Notification_LockNotification\", t1.\"Notification_UnLockNotification\"\nFROM (\n SELECT o.\"Id\", o.\"HasInactiveParent\", o.\"HierarchyPath\", o.\"Name\", o.\"OrganizationStatus\", o.\"ParentOrganizationalUnitId\", o.\"RootId\"\n FROM (\n SELECT NULL AS empty\n ) AS e\n LEFT JOIN \"OrganizationalUnit\" AS o ON TRUE\n WHERE (o.\"Id\" = o.\"RootId\" OR ((o.\"Id\" IS NULL) AND (o.\"RootId\" IS NULL))) AND NOT (EXISTS (\n SELECT 1\n FROM \"TimeSheetCycle\" AS t\n WHERE (o.\"Id\" IS NOT NULL) AND o.\"Id\" = t.\"CompanyId\" AND t.\"EndDate\" >= $1 AND t.\"StartDate\" <= $1))\n ORDER BY o.\"Id\"\n LIMIT $2\n) AS t0\nLEFT JOIN \"TimeSheetSetting\" AS t1 ON t0.\"Id\" = t1.\"CompanyId\"\nORDER BY t0.\"Id\", t1.\"Id\" total"
],
"prefix": "All except:",
"readOnly": true
}
},
"properties": [
{
"id": "custom.hideFrom",
"value": {
"legend": false,
"tooltip": false,
"viz": true
}
}
]
}
]
},
"gridPos": {
"h": 10,
"w": 9,
"x": 0,
"y": 12
},
"id": 12,
"options": {
"displayLabels": [
"value"
],
"legend": {
"displayMode": "list",
"placement": "right",
"showLegend": false,
"values": []
},
"pieType": "donut",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "/^total$/",
"values": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select round(total_time::numeric, 2) as total,\n calls,\n round(mean_time::numeric, 2) as mean,\n stddev_time,\n query_sql_text as query\nfrom query_store.qs_view\nwhere (now() - start_time) <= interval '7 days'\nand query_sql_text not ilike '%query_store%'\norder by total_time DESC\nlimit 10;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Top 10 most of time in total queries last 7 days",
"transformations": [],
"transparent": true,
"type": "piechart"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Chart will show the top 10 of slowest queries last 7 days",
"fieldConfig": {
"defaults": {
"custom": {
"align": "auto",
"displayMode": "auto",
"filterable": true,
"inspect": true
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 10,
"w": 15,
"x": 9,
"y": 12
},
"id": 17,
"options": {
"footer": {
"enablePagination": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select db_id as database_id, pd.datname, CASE\n WHEN query_sql_text ILIKE 'SELECT%' OR query_sql_text ILIKE '%\\n%SELECT%' THEN 'SELECT'\n WHEN query_sql_text ILIKE 'INSERT%' OR query_sql_text ILIKE '%\\n%INSERT%' THEN 'INSERT'\n WHEN query_sql_text ILIKE 'UPDATE%' OR query_sql_text ILIKE '%\\n%UPDATE%' THEN 'UPDATE'\n WHEN query_sql_text ILIKE 'DELETE%' OR query_sql_text ILIKE '%\\n%DELETE%' THEN 'DELETE'\n ELSE 'OTHER'\n END AS query_type, query_sql_text, calls, (total_time/calls)::integer AS avg_time_ms\nfrom query_store.qs_view, pg_database as pd\nwhere db_id = pd.oid and calls > 1000 and query_sql_text not ILIKE '%query_store%'\nand (now() - start_time) <= interval '7 days'\nORDER BY avg_time_ms DESC\nLIMIT 10;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "The 10 slowest queries with over a 1000 calls last 7 days",
"transparent": true,
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Amounts of queries with running longer than 5 minutes last 7 days",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlYlRd"
},
"mappings": [],
"thresholds": {
"mode": "percentage",
"steps": [
{
"color": "green"
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 9,
"x": 0,
"y": 22
},
"id": 27,
"options": {
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT count(*)\nFROM pg_stat_activity\nWHERE (now() - pg_stat_activity.query_start) > interval '5 seconds' \nAND (now() - pg_stat_activity.query_start) <= interval '7 days'\nAND datname NOT ILIKE 'azure_sys';",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Total queries running longer than 5 sec last 7 days",
"transparent": true,
"type": "gauge"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "This chart tell us about what queries is running longer than 5 sec on all database.\n\n#### Please use the *query_type* filter on head of table for get type of queries you want.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-GrYlRd"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"filterable": true,
"inspect": true
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 15,
"x": 9,
"y": 22
},
"id": 14,
"options": {
"footer": {
"enablePagination": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n pid,\n datname as database,\n user,\n CASE\n WHEN query ILIKE 'SELECT%' OR query ILIKE '%\\n%SELECT%' THEN 'SELECT'\n WHEN query ILIKE 'INSERT%' OR query ILIKE '%\\n%INSERT%' THEN 'INSERT'\n WHEN query ILIKE 'UPDATE%' OR query ILIKE '%\\n%UPDATE%' THEN 'UPDATE'\n WHEN query ILIKE 'DELETE%' OR query ILIKE '%\\n%DELETE%' THEN 'DELETE'\n ELSE 'OTHER'\n END AS query_type,\n pg_stat_activity.query_start,\n now() - pg_stat_activity.query_start AS query_time,\n query,\n state,\n wait_event_type,\n wait_event\nFROM pg_stat_activity\nWHERE (now() - pg_stat_activity.query_start) > interval '5 seconds' \nAND (now() - pg_stat_activity.query_start) <= interval '7 days'\nAND datname NOT ILIKE 'azure_sys';",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Detail queries running longer than 5 sec on last 7 days",
"transparent": true,
"type": "table"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 31
},
"id": 6,
"panels": [],
"title": "Live Queries",
"type": "row"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Querying to Check PostgreSQL Open Connections .You need to consider about:\n\n**backend_type** - *Type of current backend*. Possible types are: \n\nβClient backend\" is basically your normal connection from application. All other connections are special processes that βdo stuff\":\n\n- archiver β runs archive_command (or it's equivalent in newer pgs)\n- autovacuum launcher β starts autovacuum workers when it's necessary to vacuum/analyze something\n- background writer β writes data to tables/indexes in the background\n- checkpointer handles checkpoints β basically every now and then writing all modified data to table/index files\n- logical replication launcher β manages processes related to logical replication\n- walwriter β writes changes in data to WAL\n\nAside from these you can also see:\n\n- autovacuum worker β actually does some vacuum/analyze work for autovacuum\n- logical replication worker β works on logical replication\n- parallel worker β special backend started by client backend where query is being processes in parallel\n- startup β applies WAL from somewhere, this is the process that is responsible for recovery and streaming/wal replication\n- walreceiver β receives wal stream from source in streaming replication setups\n- walsender β sends wal via stream to some replica\n\nYou can also see some other types if you use specialized extensions.\n\n*For more detail go to this [link](https://www.depesz.com/2022/07/05/understanding-pg_stat_activity/#:~:text=Last%20column%20is%20backend_type)*\n",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlYlRd"
},
"mappings": [
{
"options": {
"": {
"color": "super-light-yellow",
"index": 0
}
},
"type": "value"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "none"
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 7,
"x": 0,
"y": 32
},
"id": 8,
"options": {
"displayMode": "gradient",
"minVizHeight": 10,
"minVizWidth": 0,
"orientation": "horizontal",
"reduceOptions": {
"calcs": [],
"fields": "/^connections$/",
"values": true
},
"showUnfilled": true,
"text": {}
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n COUNT(*) as connections,\n backend_type\nFROM\n pg_stat_activity\nGROUP BY\n backend_type\nORDER BY\n connections DESC",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Open Connections",
"transformations": [],
"transparent": true,
"type": "bargauge"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlYlRd"
},
"mappings": [],
"thresholds": {
"mode": "percentage",
"steps": [
{
"color": "green"
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 5,
"x": 7,
"y": 32
},
"id": 23,
"options": {
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT count(*)\n FROM pg_stat_activity\n WHERE query NOT ILIKE '%pg_stat_activity%' and datname NOT ILIKE '%azure_sys%' and application_name != '';",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Total processes of DB",
"transparent": true,
"type": "gauge"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "This chart tell about the what active is current running. \nSome of information need to consider:\n\n**State** - *Current overall state of this backend*. Possible values are\n\n- active: The backend is executing a query.\n- idle: The backend is waiting for a new client command.\n- idle in transaction: The backend is in a transaction, but is not currently executing a query.\n- idle in transaction (aborted): This state is similar to idle in transaction, except one of the statements in the transaction caused an error.\n- fastpath function call: The backend is executing a fast-path function.\n- disabled: This state is reported if track_activities is disabled in this backend.\n\n*For more detail go to this [link](https://www.postgresql.org/docs/current/monitoring-stats.html#:~:text=Table%C2%A028.13.-,state,-text)*\n\n**Database** - 'some special db you have seen in table chart'\n- *postgres* - A default database you can connect to once your server is created.\n- *azure_maintenance* - This database is used to separate the processes that provide the managed service from user actions. You do not have access to this database.\n- *azure_sys* - A database for the Query Store. This database does not accumulate data when Query Store is off; this is the default setting. For more information, see the [Query Store overview](https://github.com/MicrosoftDocs/azure-docs/blob/main/articles/postgresql/single-server/concepts-query-store.md).",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlYlRd"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"filterable": true,
"inspect": true,
"minWidth": 50
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 12,
"x": 12,
"y": 32
},
"id": 10,
"options": {
"footer": {
"enablePagination": true,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT datname as Database, pid, application_name, state, query, backend_type\n FROM pg_stat_activity\n WHERE query NOT ILIKE '%pg_stat_activity%' and datname NOT ILIKE '%azure_sys%' and application_name != '';",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Process in currently of DB",
"transparent": true,
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Current infomation about state of process in DB",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlYlRd"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"fillOpacity": 67,
"gradientMode": "hue",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineWidth": 4,
"scaleDistribution": {
"type": "linear"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "short"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "count"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "blue",
"mode": "fixed"
}
}
]
}
]
},
"gridPos": {
"h": 7,
"w": 7,
"x": 4,
"y": 41
},
"id": 37,
"options": {
"barRadius": 0.25,
"barWidth": 0.06,
"groupWidth": 0.7,
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"orientation": "auto",
"showValue": "never",
"stacking": "none",
"tooltip": {
"mode": "single",
"sort": "none"
},
"xField": "state",
"xTickLabelRotation": 0,
"xTickLabelSpacing": 100
},
"pluginVersion": "9.7.1",
"targets": [
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"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT state, COUNT(*) FROM pg_stat_activity \nWHERE pid <> pg_backend_pid() AND query NOT ILIKE '%pg_stat_activity%' and datname NOT ILIKE '%azure_sys%' and application_name != ''\nGROUP BY 1;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "State of process in DB",
"transparent": true,
"type": "barchart"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Currently about the number of application_name in DB. Some situation about the chart:\n- If it not exist `application_name`. The `count` column will represent for it.\n- The chart will focus visuallize the `application_name` connect what database in `currently` process.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlPu"
},
"mappings": [],
"noValue": "Unknown",
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 9,
"x": 12,
"y": 41
},
"id": 39,
"options": {
"displayMode": "gradient",
"minVizHeight": 10,
"minVizWidth": 0,
"orientation": "horizontal",
"reduceOptions": {
"calcs": [],
"fields": "",
"values": true
},
"showUnfilled": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT application_name, COUNT(*) FROM pg_stat_activity \nWHERE pid <> pg_backend_pid() and query NOT ILIKE '%pg_stat_activity%' and datname NOT ILIKE '%azure_sys%' and application_name != ''\nGROUP BY 1 ORDER BY 1;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Application_name on process in DB",
"transparent": true,
"type": "bargauge"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Number of connection have blocking by lock",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlYlRd"
},
"mappings": [],
"thresholds": {
"mode": "percentage",
"steps": [
{
"color": "green"
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 48
},
"id": 35,
"options": {
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "9.1.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT count(distinct pid) FROM pg_locks WHERE granted = false;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Connections waiting for a lock",
"transparent": true,
"type": "gauge"
},
{
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}MongoDB Metrics Dashboard
Info
The dashboard which used to monitoring MongoDB via exporter,
prometheusandgrafana. Explain more the exporter with Github: https://github.com/percona/mongodb_exporter
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