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
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:
UserParameter=storm.delay.discovery,python2.6 /apps/sh/zabbix_scripts/storm/storm_delay_discovery.py
并通过
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:
#!/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,
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。