Redis监控(Grafana+Prometheus+redis_exporter)

先看一下最终的效果图

环境准备

Promethus推荐的Exporter: https://prometheus.io/docs/instrumenting/exporters/

其推荐的是这个redis_exporter: https://github.com/oliver006/redis_exporter, 本文略过了Grafana+Prometheus+redis_exporter的安装过程, 我们假设redis_exporter的安装位置为/data/apps/redis_exporter/redis_exporter

查看每个机器上Redis的连接密码

grep requirepass /data/conf/redis/redis-670*.conf | grep -v '#'

要监控的机器redis节点

此组redis密码:K8aBe56E       此组redis密码:uizJFaP9
10.16.19.37:6700              10.16.19.37:6703
10.16.19.37:6701              10.16.19.37:6704
10.16.19.37:6702              10.16.19.37:6705 
10.16.19.40:6700              10.16.19.40:6703
10.16.19.40:6701              10.16.19.40:6704
10.16.19.40:6702              10.16.19.40:6705
10.16.19.58:6700              10.16.19.58:6703
10.16.19.58:6701              10.16.19.58:6704
10.16.19.58:6702              10.16.19.58:6705

启动redis_exporter

在任意一台机器上运行redis_exporter就行了(因为它们可以靠IP连接), 假设我们在10.16.19.40上运行了redis_exporter(由于2组redis用了不同的密码, 因此需要启动2个redis_exporter)

nohup /data/apps/redis_exporter/redis_exporter --redis.password=uizJFaP9 --web.listen-address=:56800 2>&1 &
nohup /data/apps/redis_exporter/redis_exporter --redis.password=K8aBe56E --web.listen-address=:56801 2>&1 &

配置prometheus

vim /data/apps/prometheus/redis.yml
scrape_configs:
  - job_name: 'team-1'
    static_configs:
      - targets:
        - redis://10.16.19.37:6703
        - redis://10.16.19.37:6704
        - redis://10.16.19.37:6705
        - redis://10.16.19.40:6703
        - redis://10.16.19.40:6704
        - redis://10.16.19.40:6705
        - redis://10.16.19.58:6703
        - redis://10.16.19.58:6704
        - redis://10.16.19.58:6705
        labels:
          env: BJteam
          service: engine
    metrics_path: /scrape
    relabel_configs:
      - source_labels: [__address__]
        target_label: __param_target
      - source_labels: [__param_target]
        target_label: instance
      - target_label: __address__
        replacement: 10.16.19.40:56800

  - job_name: 'team-2'
    static_configs:
      - targets:
        - redis://10.16.19.37:6700
        - redis://10.16.19.37:6701
        - redis://10.16.19.37:6702
        - redis://10.16.19.40:6700
        - redis://10.16.19.40:6701
        - redis://10.16.19.40:6702
        - redis://10.16.19.58:6700
        - redis://10.16.19.58:6701
        - redis://10.16.19.58:6702
        labels:
          env: BJteam
          service: engine
    metrics_path: /scrape
    relabel_configs:
      - source_labels: [__address__]
        target_label: __param_target
      - source_labels: [__param_target]
        target_label: instance
      - target_label: __address__
        replacement: 10.16.19.40:56801

启动Promethus

vim /etc/systemd/system/prometheus_redis.service

[Unit]
Description=prometheus_redis
After=network.target
[Service]
Type=simple
User=root
ExecStart=/data/apps/prometheus/prometheus --config.file=/data/apps/prometheus/redis.yml --storage.tsdb.path=/data/apps/prometheus/redis_tsdb/ --web.listen-address=0.0.0.0:9092 --storage.tsdb.retention.time=30d --web.enable-admin-api
Restart=on-failure
[Install]
WantedBy=multi-user.target

systemctl restart prometheus_redis
systemctl status prometheus_redis
systemctl enable prometheus_redis

确认监控Metric正常:

curl http://10.16.19.40:56800/scrape?target=redis://10.16.19.37:6700
......
# HELP redis_commands_duration_seconds_total Total amount of time in seconds spent per command
# 提示: redis_commands_duration_seconds_total表示执行每种命令所花费的总时间(秒)
redis_commands_duration_seconds_total{cmd="command"} 0.002261
redis_commands_duration_seconds_total{cmd="config"} 0.070622
redis_commands_duration_seconds_total{cmd="evalsha"} 74.839118
redis_commands_duration_seconds_total{cmd="get"} 12.943131
redis_commands_duration_seconds_total{cmd="incrby"} 6.023572
redis_commands_duration_seconds_total{cmd="info"} 0.115028
redis_commands_duration_seconds_total{cmd="keys"} 0.000274
redis_commands_duration_seconds_total{cmd="latency"} 0.001811
redis_commands_duration_seconds_total{cmd="ping"} 17.288006
redis_commands_duration_seconds_total{cmd="script"} 0.003994
redis_commands_duration_seconds_total{cmd="set"} 0.000566
redis_commands_duration_seconds_total{cmd="setex"} 8e-06
redis_commands_duration_seconds_total{cmd="slowlog"} 0.007638
# HELP redis_commands_processed_total commands_processed_total metric
# TYPE redis_commands_processed_total counter
redis_commands_processed_total 5.0632599e+07
# HELP redis_commands_total Total number of calls per command
# 提示: redis_commands_total表示执行每种命令的数量
redis_commands_total{cmd="command"} 2
redis_commands_total{cmd="config"} 791
redis_commands_total{cmd="evalsha"} 1.640119e+06
redis_commands_total{cmd="get"} 9.497393e+06
redis_commands_total{cmd="incrby"} 2.93687e+06
redis_commands_total{cmd="info"} 790
redis_commands_total{cmd="keys"} 9
redis_commands_total{cmd="latency"} 790
redis_commands_total{cmd="ping"} 3.6553714e+07
redis_commands_total{cmd="script"} 287
redis_commands_total{cmd="set"} 253
redis_commands_total{cmd="setex"} 1
redis_commands_total{cmd="slowlog"} 1580
......

设置 Grafana

首先在Dashboard中添加一个Variable, Name为instance, Type选择Query, Query语句为

label_values(redis_up{env="BJteam", service="engine"}, instance)

然后就可以添加监控报表了. 一些Metric的计算语句如下

uptime时间   使用Singlestat面板   max(max_over_time(redis_uptime_in_seconds{instance=~"$instance"}[$__interval]))
clients数量  使用Singlestat面板   redis_connected_clients{instance=~"$instance"}
内存使用(百分比)  使用Singlestat面板  100 * (redis_memory_used_bytes{instance=~"$instance"}  / redis_memory_max_bytes{instance=~"$instance"} )

已使用内存    使用Graph面板  redis_memory_used_bytes{instance=~"$instance"} 
最大内存      使用Graph面板  redis_memory_max_bytes{instance=~"$instance"} 

Commands Executed/Sec   使用Graph面板   rate(redis_commands_processed_total{instance=~"$instance"}[5m])
Commands Calls/Sec      使用Graph面板   topk(5, irate(redis_commands_total{instance=~"$instance"} [5m]))    Legend选择{{ cmd }}
Time Cost by command    使用Graph面板   topk(5, irate(redis_commands_duration_seconds_total{instance=~"$instance"} [5m]))    Legend选择{{ cmd }}

Hits/Sec     使用Graph面板  irate(redis_keyspace_hits_total{instance=~"$instance"}[5m])
Misses/Sec   使用Graph面板  irate(redis_keyspace_misses_total{instance=~"$instance"}[5m])
Key数量      使用Graph面板  sum (redis_db_keys{instance=~"$instance"}) by (db)
expired keys 使用Graph面板  sum(rate(redis_expired_keys_total{instance=~"$instance"}[5m])) by (instance)
evicted keys 使用Graph面板  sum(rate(redis_evicted_keys_total{instance=~"$instance"}[5m])) by (instance)
slowlog_ length 使用Graph面板  redis_slowlog_length{instance=~"$instance"}

Network I/O(input)   使用Graph面板  rate(redis_net_input_bytes_total{instance=~"$instance"}[5m])
Network I/O(output)  使用Graph面板  rate(redis_net_input_bytes_total{instance=~"$instance"}[5m])

下面是一些详细配置的截图

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