zabbix监控redis

落日映苍穹つ 2022-06-03 03:55 253阅读 0赞

## 1.Redis存活监控 ##

redis存活监控 (redis\_alive):redis本地监控agent使用ping，如果指定时间返回PONG表示存活，否则redis不能响应请求，可能阻塞或死亡。当返回值不为1时，redis挂了，告警，我们以阿里机器上的redis为例（集群部署）：

[root@bfd-ango-01 zabbix_agentd.d]# redis-cli -h 47.105.115.143  -p 7000 -c ping
    PONG

\#下面指令我们就可以获取数字1，zabbix中就可以根据数字1或者0进行设置触发器

[root@bfd-ango-01 zabbix_agentd.d]# redis-cli -h 47.105.115.143  -p 7000 -c ping | grep -c PONG
    1

## 2.redis一些参数监控 ##

这里我们不会很详细描述每一步操作，只是告诉如何去监控这些指标，实际情况根据自己的需要去监控，首先我们看看redis总管由那些指标

### 2.1 cluster info指令 ###

[root@bfd-ango-01 ~]# redis-cli -h 47.105.115.143  -p 7000 -c  cluster info
    cluster_state:ok
    cluster_slots_assigned:16384
    cluster_slots_ok:16384
    cluster_slots_pfail:0
    cluster_slots_fail:0
    cluster_known_nodes:6
    cluster_size:3
    cluster_current_epoch:6
    cluster_my_epoch:1
    cluster_stats_messages_ping_sent:4085268
    cluster_stats_messages_pong_sent:4113132
    cluster_stats_messages_sent:8198400
    cluster_stats_messages_ping_received:4113127
    cluster_stats_messages_pong_received:4085266
    cluster_stats_messages_meet_received:5
    cluster_stats_messages_received:8198398

2.2 info指令

[root@bfd-ango-01 ~]# redis-cli -h 47.105.115.143  -p 7000 -c   info
    #Server
    redis_version:4.0.11
    redis_git_sha1:00000000
    redis_git_dirty:0
    redis_build_id:3101afeef6330999
    redis_mode:cluster
    os:Linux 3.10.0-514.26.2.el7.x86_64 x86_64
    arch_bits:64
    multiplexing_api:epoll
    atomicvar_api:atomic-builtin
    gcc_version:4.8.5
    process_id:2548154
    run_id:30b9907b35131f375cd072eec7b92b2a5c29896c
    tcp_port:7000
    uptime_in_seconds:2230600
    uptime_in_days:25
    hz:10
    lru_clock:3929725
    executable:/opt/redis/conf/redis-server
    config_file:/opt/redis/conf/redis7000.conf
    
    # Clients
    connected_clients:5
    client_longest_output_list:0
    client_biggest_input_buf:0
    blocked_clients:0
     
    # Memory
    used_memory:2839336
    used_memory_human:2.71M
    used_memory_rss:5005312
    used_memory_rss_human:4.77M
    used_memory_peak:3045288
    used_memory_peak_human:2.90M
    used_memory_peak_perc:93.24%
    used_memory_overhead:2642162
    used_memory_startup:1444736
    used_memory_dataset:197174
    used_memory_dataset_perc:14.14%
    total_system_memory:33568223232
    total_system_memory_human:31.26G
    used_memory_lua:37888
    used_memory_lua_human:37.00K
    maxmemory:0
    maxmemory_human:0B
    maxmemory_policy:noeviction
    mem_fragmentation_ratio:1.76
    mem_allocator:jemalloc-4.0.3
    active_defrag_running:0
    lazyfree_pending_objects:0
     
    # Persistence
    loading:0
    rdb_changes_since_last_save:19
    rdb_bgsave_in_progress:0
    rdb_last_save_time:1547227619
    rdb_last_bgsave_status:ok
    rdb_last_bgsave_time_sec:0
    rdb_current_bgsave_time_sec:-1
    rdb_last_cow_size:237568
    aof_enabled:1
    aof_rewrite_in_progress:0
    aof_rewrite_scheduled:0
    aof_last_rewrite_time_sec:-1
    aof_current_rewrite_time_sec:-1
    aof_last_bgrewrite_status:ok
    aof_last_write_status:ok
    aof_last_cow_size:0
    aof_current_size:338379
    aof_base_size:0
    aof_pending_rewrite:0
    aof_buffer_length:0
    aof_rewrite_buffer_length:0
    aof_pending_bio_fsync:0
    aof_delayed_fsync:0
     
    # Stats
    total_connections_received:253472
    total_commands_processed:2479981
    instantaneous_ops_per_sec:1
    total_net_input_bytes:93456161
    total_net_output_bytes:524528991
    instantaneous_input_kbps:0.05
    instantaneous_output_kbps:0.01
    rejected_connections:0
    sync_full:1
    sync_partial_ok:0
    sync_partial_err:1
    expired_keys:253
    expired_stale_perc:0.00
    expired_time_cap_reached_count:0
    evicted_keys:0
    keyspace_hits:6425
    keyspace_misses:157
    pubsub_channels:0
    pubsub_patterns:0
    latest_fork_usec:278
    migrate_cached_sockets:0
    slave_expires_tracked_keys:0
    active_defrag_hits:0
    active_defrag_misses:0
    active_defrag_key_hits:0
    active_defrag_key_misses:0
     
    # Replication
    role:master
    connected_slaves:1
    slave0:ip=47.105.115.143,port=7005,state=online,offset=3445124,lag=0
    master_replid:30b42c0552f22e68443b0eb703fa964deae5003a
    master_replid2:0000000000000000000000000000000000000000
    master_repl_offset:3445124
    second_repl_offset:-1
    repl_backlog_active:1
    repl_backlog_size:1048576
    repl_backlog_first_byte_offset:2396549
    repl_backlog_histlen:1048576
     
    # CPU
    used_cpu_sys:909.13
    used_cpu_user:1279.84
    used_cpu_sys_children:0.00
    used_cpu_user_children:0.00
     
    # Cluster
    cluster_enabled:1
     
    # Keyspace
    db0:keys=170,expires=168,avg_ttl=6241746810

### 2.3 配置zabbix的redis\_status.conf ###

到zabbix\_agentd.d目录下，创建redis\_status.conf文件，内容如下图所示  
cd /etc/zabbix/zabbix\_agentd.d  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d5bDk1Mjc_size_16_color_FFFFFF_t_70]

这是zabbix自定义监控，根据上面的内容可以看出，是根据脚本执行返回的结果进行监控，所以我们还要写shell脚本，脚本内容如下：

redisCli=/opt/redis/bin/redis-cli
      
    host=47.105.115.143
     
    port=7000
      
    ${redisCli} -h ${host} -p ${port} -c info |grep -w $1|awk -F ':' '{print $2}'

注意：上面图中下面还有一个redis\_cluster\_status.sh 其实里面的内容是一样的，只是一个命令是info，一个是clusetr info。其实这两个脚本可以合并为一个，传入参数即可,在zabbix监控mongodb这里就是传的两个参数。

## 3.zabbix监控 ##

### 3.1 zabbix-get 工具检测 ###

这时候一切都配置好了，我们重启zabbix\_agent，例用之前安装的zabbix-get 工具进行检查一下，能够获取到值，则表示ok

[root@bfd-ango-01 shell]# zabbix_get -s 47.105.115.143 -k  redis.status[keyspace_misses]
    157

### 3.2zabbix创建模板，并在模板中创建item和graph ###

#### 3.2.1 配置item ####

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d5bDk1Mjc_size_16_color_FFFFFF_t_70 1]

#### 3.2.2 配置graph ####

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d5bDk1Mjc_size_16_color_FFFFFF_t_70 2]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d5bDk1Mjc_size_16_color_FFFFFF_t_70 3]

#### 3.2.3 打开graph ####

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d5bDk1Mjc_size_16_color_FFFFFF_t_70 4]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d5bDk1Mjc_size_16_color_FFFFFF_t_70 5]  
\*\*注意：

1.  这里其实根据数据量分成多个graph,因为有的值在0-100以内，有的值在几千到几万之间，所有的item都在一个图中，页面显示不友好，根据自己实际情况分成多个graph即可，这里只是演示作用。
2.  我们没有创建触发器，原因是这个是根据实际情况去配置，到一步后，后面也就简单了。\*\*

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