更新时间:2022-09-18 12:25:08
线上部分实时job是用storm开发的,为了监控数据的延迟,在storm处理日志的时候会把日志的时间插入到redis中,然后通过zabbix做延迟的监控。由于经常有新的job上线,手动配置监控项就变得比较麻烦,为了解放生产力,还是需要搞成自动化。
之前添加网卡和分区监控的时候用了LLD的功能,并用了其内置的宏变量,新版本的zabbix是支持custom LLD的,实现步骤如下:
1.在模板中设置一个discovery rule ( UserParameter Key),调用脚本,返回zabbix规定的json数据(返回自定义的宏变量),并正确设置的discovery(比如filter等)
这里通过官方文档并结合线上的agent日志,可以看到zabbix规定的数据格式
1
2
3
4
5
6
7
8
9
10
11
12
|
143085:20141127:000548.967 Requested [vfs.fs.discovery] 143085:20141127:000548.967 Sending back [{ "data" :[
{
"{#FSNAME}" : "\/" ,
"{#FSTYPE}" : "rootfs" },
{
"{#FSNAME}" : "\/proc\/sys\/fs\/binfmt_misc" ,
"{#FSTYPE}" : "binfmt_misc" },
{
"{#FSNAME}" : "\/data" ,
"{#FSTYPE}" : "ext4" }]}]
|
比如线上返回json数据的key:
1
|
UserParameter = storm.delay.discovery,python2. 6 / apps / sh / zabbix_scripts / storm / storm_delay_discovery.py
|
并通过
1
|
zabbix_get -s 127.0.0.1 -k storm.delay.discovery |
验证返回数据的准确性
storm_delay_discovery.py内容如下:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
|
#!/usr/bin/python2.6 #for storm job delay monitor auto discovery #edit by ericni.ni #2014-11-27 import sys
import redis
import exceptions
import traceback
_hashtables = []
_continue = True
_alllist = []
class RedisException(Exception):
def __init__( self , errorlog):
self .errorlog = errorlog
def __str__( self ):
return "error log is %s" % ( self .errorlog)
def scan_one(cursor,conn):
try :
cursor_v = conn.scan(cursor)
cursor_next = cursor_v[ 0 ]
cursor_value = cursor_v[ 1 ]
for line in cursor_value:
if (line.startswith( "com-vip-storm" ) or line.startswith( "stormdelay_" )):
_hashtables.append(line)
else :
pass
return cursor_next
except Exception,e:
raise RedisException( str (e))
def scan_all(conn):
try :
cursor1 = scan_one( '0' ,conn)
global _continue
while _continue:
cursor2 = scan_one(cursor1,conn)
if int (cursor2) = = 0 :
_continue = False
else :
cursor1 = cursor2
_continue = True
except Exception,e:
raise RedisException( str (e))
def hget_fields(conn,hashname):
fields = conn.hkeys(hashname)
re = "["
#print "hashname %s"%(hashname)
#print fields
for field in fields:
aline = ""
aline + = """{"{#STORMHASHNAME}": "%s", "{#STORMHASHFIELD}": "%s"}""" % (hashname,field)
_alllist.append(aline)
if __name__ = = '__main__' :
re = ""
try :
r = redis.StrictRedis(host = 'xxx' , port = xxx, db = 0 )
scan_all(r)
for hashtable in _hashtables:
hget_fields(r,hashtable)
re + = """{"data": """
re + = str (_alllist).replace( "'",'')
re += "}"
print re.replace("'" ,'"')
except Exception,e:
print - 1
|
2.设置item/graph/trigger prototypes:
这里以item为例,定义item prototypes (同样需要定义key),key的参数为宏变量
比如Free inodes on {#FSNAME} (percentage)--->vfs.fs.inode[{#FSNAME},pfree]
本例中,在item中使用上面返回的宏变量即可,
1
|
storm_delay[hget,{ #STORMHASHNAME},{#STORMHASHFIELD}]
|
最后,把包含LLD的template链接到host上即可。
最后再配合screen.create/screenitem.update api就可以实现监控添加/screen添加,更新的自动化了。
本文转自菜菜光 51CTO博客,原文链接:http://blog.51cto.com/caiguangguang/1583536,如需转载请自行联系原作者