Redis调用次数实时监控(redis调用次数监控)

Redis调用次数实时监控

在分布式系统中,Redis是常用的内存型NoSQL数据库,它提供了高速的键值存储和读取操作,同时支持多种数据结构,并且具有良好的跨语言支持。然而,随着Redis使用场景的增多,其对应用的性能和可靠性要求越来越高,而如何有效地监控和调整Redis的使用情况成为了一个重要的问题。

本文提出了一种基于Redis Sentinel和Prometheus的方案,可以实时监控Redis调用的次数和平均响应时间,并支持告警和数据可视化。具体实现方式如下:

1. 在Redis Sentinel的配置文件中增加如下代码,用于统计各个Redis实例的调用次数和响应时间:

# enable stats
stats-interval 10
stats-detled-stats yes
stats-prefix "redis"

这个配置项中,stats-interval表示统计间隔,stats-detled-stats表示统计详细信息(包括调用次数,响应时间等),stats-prefix表示统计结果的前缀。我们可以根据需要自定义这些参数。

2. 在Prometheus的配置文件中增加如下代码,用于抓取Redis Sentinel的统计信息:

- job_name: 'redis-sentinel'
scrape_interval: 10s
static_configs:
- targets: ['172.16.0.100:26379', '172.16.0.101:26379', '172.16.0.102:26379']
labels:
instance: 'redis-sentinel'

这个配置项中,job_name表示抓取的任务名称,scrape_interval表示抓取间隔,static_configs表示静态配置,targets表示监控对象(主机IP和端口),labels表示标签。我们可以根据需要自定义这些参数。

3. 在Prometheus的配置文件中增加如下代码,用于对Redis Sentinel的统计信息进行处理和展示:

- job_name: 'redis'
scrape_interval: 10s
static_configs:
- targets: ['172.16.0.100:6379', '172.16.0.101:6379', '172.16.0.102:6379']
labels:
instance: 'redis'
relabel_configs:
- source_labels: [__address__]
regex: '.*:6379$'
target_label: instance
- source_labels: [instance]
target_label: __metrics_path__
replacement: '/redis/metrics'

这个配置项中,job_name和scrape_interval同上,targets和labels也同上,relabel_configs表示重命名配置。其中,第一个relabel配置是将原始的__address__标签重命名为instance标签,第二个relabel配置是将instance标签作为__metrics_path__标签的值,并将其替换为/redis/metrics。这个操作是为了避免出现两个Redis实例的__metrics_path__标签重复的情况。我们可以根据需要自定义这些参数。

4. 在Grafana中创建一个Dashboard,用于展示Redis Sentinel和Redis的统计信息。这里只展示Redis部分的代码:

{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
"limit": 100,
"matchAny": true,
"tags": []
},
"type": "dashboard"
}
]
},
"editable": true,
"gnetId": null,
"graphTooltip": 0,
"id": null,
"iteration": 1611368303189,
"links": [],
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "prometheus",
"fill": 1,
"fillGradient": 0,
"gridPos": {},
"hideTimeOverrides": false,
"id": 24,
"legend": {
"avg": true,
"current": false,
"max": true,
"min": true,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"nullPointMode": "null",
"options": {},
"percentage": false,
"pluginVersion": "7.5.7",
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "redis_cmdstat_get_keys_total{instance=~\"" + instance + "\"}",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "{{cmd}}",
"metric": "",
"refId": "A",
"step": ""
},
{
"expr": "redis_cmdstat_get_keys_duration_seconds_total{instance=~\"" + instance + "\"}",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "{{cmd}}",
"metric": "",
"refId": "B",
"step": ""
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Redis cmdstat",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
}
],
"schemaVersion": 22,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"allValue": null,
"auto": true,
"current": {},
"datasource": "prometheus",
"description": null,
"error": null,
"hide": 0,
"includeAll": true,
"label": "Instance",
"multi": true,
"name": "instance",
"options": [],
"query": "label_values(redis_up_by_instance{app=\"redis\"}, instance)",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "",
"tags": [],
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {
"hidden": false,
"nowButton": false,
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"timezone": "",
"title": "Redis",
"uid": "KjGtJNEMk",
"version": 1
}

这个代码是一个Grafana的Dashboard定义,用于展示Redis Sentinel和Redis的统计信息。其中,模板变量instance表示Redis的实例名称,可以在展示时动态选择。targets中的表达式可以根据需要调整。

5. 对Grafana中的Redis Panel进行设置和保存,即可实现Redis调用次数和响应时间的实时监控。

总结

本文介绍了一种基于Redis Sentinel和Prometheus的方案,可以实现Redis


数据运维技术 » Redis调用次数实时监控(redis调用次数监控)