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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
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| 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"}]}]
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比如线上返回json数据的key:
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| UserParameter=storm.delay.discovery,python2.6 /apps/sh/zabbix_scripts/storm/storm_delay_discovery.py
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并通过
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| zabbix_get -s 127.0.0.1 -k storm.delay.discovery
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验证返回数据的准确性
storm_delay_discovery.py内容如下:
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| #!/usr/bin/python
import sys
import redis
import exceptions
import traceback
_hashtables = []
_continue = True
_alldict = {}
_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_")) and str(line) != "stormdelay_riskcontroll":
_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):
onedict = {}
fields = conn.hkeys(hashname)
for field in fields:
onedict["{#STORMHASHNAME}"] = hashname
onedict["{#STORMHASHFIELD}"] = field
_alllist.append(onedict)
if __name__ == '__main__':
try:
r=redis.StrictRedis(host='xxxx', port=xxx, db=0)
scan_all(r)
for hashtable in _hashtables:
hget_fields(r,hashtable)
_alldict["data"] = _alllist
print str(_alldict).replace("'",'"')
except Exception,e:
print -1
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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,
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| storm_delay[hget,{#STORMHASHNAME},{#STORMHASHFIELD}]
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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
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